Curated Insights 2018.09.21

Brent Beshore: Learning to pole vault

Marketing will only get you where you’re going faster. If your product isn’t valuable, marketing will help put you out of business, fast. The best way to build trust and generate attention is to be relatively excellent. I say “relatively” because some markets are more efficient/mature than others. The less developed a market, the less valuable you have to be in absolute terms. You just have to be better than everyone else. I don’t want to try to outcompete smart, well-read, and hard working people. I want to find the lowest bar to jump over and then get good at pole vaulting.

Picking your field is arguably more important to your success than your current skill and future capacity. In some segments of business, everyone makes lots of money and the very best do outrageously well. In other areas, even the very best often declare bankruptcy. It’s a base rate analysis. Assume you’re only going to be mediocre, then explore what business and life look like if that’s true. So choose your field wisely and get good at what you’re doing before trying to make noise.

AI has far-reaching consequences for emerging markets

Without a cost incentive to locate in the developing world, corporations will bring many of these functions back to the countries where they’re based. That will leave emerging economies, unable to grasp the bottom rungs of the development ladder, in a dangerous position: the large pool of young and relatively unskilled workers that once formed their greatest comparative advantage will become a liability – a potentially explosive one.

The result will be an unprecedented concentration of productive capacity and wealth in the hands of the elite AI companies, almost all of which are located in the US and China. Of the US$15.7 trillion in wealth that AI is forecast to generate globally by 2030, a full 70 per cent will accrue to those two countries alone, according to a study by consulting firm PwC.

Spotify will now let indie artists upload their own music

According to a recent report by The NYT, artists working with labels may see much smaller percentages. The report said that Spotify typically pays a record label around 52 percent of the revenue generated by each stream. The label, in turn, then pays the artist a royalty of anywhere from 15% to as high as 50%. If artists are dealing directly with Spotify, they could be making more money.

Labels suggested that they could retaliate against Spotify for overstepping. The NYT had also said. They may do things like withhold licenses Spotify needs for key international expansions, like India, or not agree to new terms after existing contracts expire. They could also offer more exclusives and promos to Spotify’s rivals, like Apple Music, which has surged ahead in the U.S. and is now neck-and-neck here with Spotify for paid subscribers.

A music upload feature also means artists who own their own rights could break out big on Spotify if they catch the attention of playlist editors – something that Spotify now makes it easier for them to do, as well. In addition, having indies upload music directly means Spotify could better compete against Apple Music by attracting more artists and their fans to its platform.


Apple’s neural engine = Pocket machine learning platform

If you have followed many of the posts I’ve written about the challenges facing the broader semiconductor industry, you know that competing with Apple’s silicon team is becoming increasingly difficult. Not just because it is becoming harder for traditional semiconductor companies to spend the kind of R&D budget they need to meaningfully advance their designs but also because most companies don’t have the luxury of designing a chip that only needs to satisfy the needs of Apple’s products. Apple has a luxury as a semiconductor engineering team to develop, tune, and innovate specialized chips that exist solely to bring new experiences to iPhone customers. This is exceptionally difficult to compete with.

However, the area companies can try with cloud software. Good cloud computing companies, like Google, can conceivably keep some pace with Apple as they move more of their processing power to the cloud and off the device. No company will be able to keep up with Apple in client/device side computing but they can if they can utilize the monster computing power in the cloud. This to me is one of the more interesting battles that will come over the next decade. Apple’s client-side computing prowess vs. the cloud computing software prowess of those looking to compete.


Tim Cook reveals in interview that the Chinese consumer is different because they don’t carry the burden of the desktop era

China has not experienced the so-called stage of the desktop Internet, but directly embraced the mobile Internet. Therefore, Chinese consumers do not have the burden of the desktop Internet era. This explains to some extent why China’s mobile payment share is so high. In other countries, the mobile payment process is much slower. In fact, they just have no more attempts.”

Perhaps Apple’s delay in advancing Macs and angering the pro community comes from this deep seated attitude that it’s a “burden” holding back the advancement of their iOS agenda.

The best company you’ve never heard of

With no true competitive threats, wide-moat commercial real estate data provider CoStar Group is a borderline monopoly. The other companies in the space are predominately small startups focused on crowdsourcing data. These companies can’t replicate the intangible assets from the vast cost and effort associated with compiling the data the company offers to its customer base.

Given the importance customers place on the underlying data, CoStar also keeps competitors at bay with a switching cost moat source. It’s just too risky to switch sources. Strong platform effects found throughout CoStar’s product offerings earn the company a network effect moat source, too.

The company continues to increase its coverage and boasts that it covers every building in the country, widening the gap between itself and its fragmented competition. The firm recently established itself as a leading provider of rental data with its acquisitions of Apartment Finder and Apartments.com. CoStar is only 30% penetrated in its target market for apartments, so we see room for growth in this area.

Moreover, CoStar is only 15% penetrated in the broker community and 7% penetrated with institutional investors, two groups we can see the firm going after. As several investments are integrated and benefits are realized, we project CoStar’s economic profit to steadily increase over the next several years, reflecting our positive moat trend rating.

Here’s why Yelp and Grubhub could keep rising

“Grubhub is in the early stages of enabling the shift to online of the still offline dominant restaurant takeout businesses and driving the improved consumer experience that comes with it,” they wrote. About “90% of delivery and pickup orders still come from offline, making the phone book, print out menus and walk-ins the number one competitor to Grubhub and its peers.”

How early is the shift? “We estimate Grubhub has about 40% market share of the third-party online delivery/pickup industry which itself we estimate has a 4% penetration of the $250 billion restaurant takeout industry,” they wrote. “Its early mover and scale advantage—about 85,000 restaurants on its platform in 1,600 cities—has allowed Grubhub to offer, in our view, the best consumer value across its competitors.”


Why Yelp could rise 200%

If we can introduce ourselves to those advertisers with a good ‘til canceled $300, $400 a month, $10, $20 a day kind of service proposition, what we’re finding is it really opens up our sales funnel. It makes our product more competitive in the marketplace. It allows us to get into third-party sales channels that we haven’t been in before. And we’re now kind of one quarter into it and we had this quarter, the first quarter, about 140% as many new or net customer additions in this quarter as we’ve had in any prior quarter and kind of 2x the run rate that we’ve normally seen when we were selling the term contract. And, now, we move to the non-term contract.

In the long-term, our tests and our analysis all show that the LTV of a cohort of advertisers that we bring in today will be quite a bit higher. And what we’ve seen in our tests is that we continue to sell the sort of long and strong loyal long-term advertisers under the new pricing model just as we always have, but on top of that we’re introducing ourselves to a lot more new customers along the way

Yelp is in the early days of elevating the consumer experience by expanding the number of transactional features such as Request-A-Quote from a home service professional or book a restaurant reservation or spa appointment. Request-A-Quote lead volume grew 27% from the first to the second quarter of 2018 and topped 5.5 million delivered requests in the second quarter. During that same short timeframe, revenue attributable to Request-A-Quote increased by more than 50%, surpassing a $35 million annual run rate at the end of the second quarter. The company is not yet fully monetizing Request-A-Quote, which we believe could accelerate free cash growth even further. We like finding misunderstood, yet promising, and free embedded call options within the companies we invest in and hope Request-A-Quote proves to a second material avenue for free cash per share growth.


GGV Capital: Unpacking Xiaomi’s IPO

Instead of paying for users, Xiaomi actually gets paid at least 5% gross margin through hardware to get users…it’s a very different model from almost any other internet services model out there. So if this is sustainable, and to make sure this is sustainable is to have a lot more hardware products out there that the middle class can buy, and use that portfolio of hardware devices to get paid for acquiring users, so that internet services can scale thereafter…There’s definitely elements of Muji and Uniqlo in a different field for Xiaomi, there’s definitely elements of a Costco model of subscription plus very low cost to make sure more products are affordable by the rising consumer class, there’s definitely elements of Amazon in there as a platform to sell many products and being very focused at delivering a superior experience…

If we look at the number of internet users coming online, the next 1.5bn internet users coming online between now and 2030, most of that growth will come from the 74 countries that Xiaomi is in already. So when people ask me if Xiaomi is coming to the US or not, they completely miss the point, the growth is coming from the existing countries that Xiaomi’s already in…

Xiaomi has over 18 apps, each with monthly active users of over 50mn. It also has 38 apps, each with over 10mn MAUs. In aggregate, it did over 1.5bn RMB in internet services revenue in 2017, which already puts them as a top 25 internet services only company in the world. The most popular [app] that people know is probably Xiaomi Video, which has an interesting way of becoming aggregation services. It doesn’t license content from anyone, what it does is it aggregates content from all the top Chinese video apps, each of which have already licensed the content and whenever a user clicks on a video, it takes you to the content from its partners but within the app itself, so you can have a more integrated experience. It charges advertising revenue and also subscription from the users…and they share that revenue with its partners that provide the original video content. So, it can focus on providing the most comprehensive collection of content to the user, at the same time, so far, they don’t have to spend much money on acquiring the content itself.”


Tesla, software and disruption

It’s pretty clear that electric disrupts the internal combustion engine, and everything associated with it. It’s not just that you replace the internal combustion engine with electric motors and the fuel tank with batteries – rather, you remove the whole drive train and replace it with sometime with 5 to 10 times fewer moving or breakable parts. You rip the spine out of the car. This is very disruptive to anyone in the engine business – it disrupts machine tools, and many of the suppliers of these components to the OEMs. A lot of the supplier base will change.

We will go from complex cars with simple software to simple cars with complex software. Instead of many stand-alone embedded systems each doing one thing, we’ll have cheap dumb sensors and actuators controlled by software on a single central control board, running some sort of operating system, with many different threads (there are a few candidates). This is partly driven by electric, but becomes essential for autonomy.

Tesla’s first bet is that it will solve the vision-only problem before the other sensors get small and cheap, and that it will solve all the rest of the autonomy problems by then as well. This is strongly counter-consensus. It hopes to do it the harder way before anyone else does it the easier way. That is, it’s entirely possible that Waymo, or someone else, gets autonomy to work in 202x with a $1000 or $2000 LIDAR and vision sensor suite and Tesla still doesn’t have it working with vision alone.

‘Flash Boys’ exchange IEX wins first listing

The U.S. corporate-listings business, in which companies pay fees to an exchange for services tied to being the primary venue for the company’s stock trading, has for years been an effective duopoly of the NYSE and Nasdaq. A third big exchange group, Cboe Global Markets Inc., lists exchange-traded funds and its own shares, but hasn’t made a bid to attract other companies. NYSE parent Intercontinental Exchange Inc. and Nasdaq earned a combined $684 million from listings last year, according to the two exchange groups.

“We at Interactive Brokers understand that being the first listing on a new exchange may entail certain risk, but we think that individual and institutional customers who own and trade our stock will receive better execution prices and that advantage will outweigh the risk,” Mr. Peterffy said in a press release announcing the move.

Because of China’s outsized workforce, the density of automation usage lags other countries: 68 robots per 10,000 industrial workers, compared with 631 bots for every 10,000 manufacturing staff in South Korea, the global leader in automation. Singapore, Germany and Japan all have higher densities of automation than China. China wants to more than double that usage density to 150 for every 10,000 workers by 2020. To do so would require massive amounts of government help.

‘Made In China 2025’: a peek at the robot revolution under way in the hub of the ‘world’s factory’

A skilled factory worker earns about 36,000 yuan a year in wages and benefits in China’s poorer provinces and second-tier cities, away from the coast. Total remuneration can exceed 60,000 yuan in cities nearer the coast and along the eastern seaboard, like in the Pearl River and Yangtze River deltas. A 200,000 yuan robot that can do the job of three humans can recoup its capital cost in 22 months in central provinces, or in a little over a year in coastal cities. In the face of rising prices pressures for labour, energy and rents, such a cost advantage would be attractive to many manufacturers.

China’s total spending on research and development is estimated to have risen 14 per cent last year to 1.76 trillion yuan, according to the Ministry of Science and Technology.

“Among the thousands of so-called Chinese robotics companies – including robot and automated equipment producers as well as those who only provide automation integration solutions – only about 100 firms could mass produce the main body and core components of high-end and middle-market industrial robots, such as servo motors, robot controllers and speed reducers,” he said. “We lack original research and have already tried to catch up by copying advanced technology. But neither technology-related mergers and acquisitions nor copycat [production] can close the gap in the short term.”

He said many domestic robotics manufacturers were still developing the traditional core parts of robots, like servo motors, robot controllers and speed reducers. But these parts would not be the core components of the future, he said.

Don’t take asset allocation advice from billionaires

One of the best ways to stay out of trouble with your finances is to focus all of your energy on your own circumstances and ignore what other people say or do with their money. Not only will it likely save you from making a grievous financial error but it will also make you happier. Constantly comparing yourself or your portfolio to others can be exhausting.

This is how to raise emotionally intelligent kids: 5 secrets from research

Don’t argue the facts. Feelings aren’t logical. You wouldn’t expect the new employee to know how to find the bathroom and you shouldn’t expect a child to know how to handle emotions that, frankly, you still have problems dealing with after decades of experience. Don’t immediately try to fix things. You need to establish you’re a safe ally before you can solve anything. Understanding must precede advice, and, just as with adults, they decide when you understand.

The critical distinction Gottman realized is that it’s important to accept all feelings — but not all behavior. If you skip immediately to problem-solving, the kid never learns the skill of how to deal with those uncomfortable emotions. You want to use “empathetic listening.” Get them to talk. Help them clarify. Validate their feelings (but, again, not necessarily their behavior). They need to feel you really understand and are on their side.

Providing words in this way can help children transform an amorphous, scary, uncomfortable feeling into something definable, something that has boundaries and is a normal part of everyday life. Anger, sadness, and fear become experiences everybody has and everybody can handle. Labeling emotions goes hand in hand with empathy. A parent sees his child in tears and says, “You feel very sad, don’t you?” Now, not only is the child understood, he has a word to describe this intense feeling. Studies indicate that the act of labeling emotions can have a soothing effect on the nervous system, helping children to recover more quickly from upsetting incidents.

As we have discussed earlier, the implications of teaching a child to self-soothe are enormous. Kids who can calm themselves from an early age show several signs of emotional intelligence: They are more likely to concentrate better, have better peer relationships, higher academic achievement, and good health. My advice to parents, then, is to help your kids find words to describe what they are feeling. This doesn’t mean telling kids how they ought to feel. It simply means helping them develop a vocabulary with which to express their emotions.

In an ideal world, we’d always have time to sit and talk with our kids as feelings come up. But for most parents, that’s not always an option. It’s important, therefore, to designate a time—preferably at the same period each day—when you can talk to your child without time pressures or interruptions.

Curated Insights 2018.09.14

Risk, uncertainty and ignorance in investing and business – Lessons from Richard Zeckhauser

People feel that 50% is magical and they don’t like to do things where they don’t have 50% odds. I know that is not a good idea, so I am willing to make some bets where you say it is 20% likely to work but you get a big pay-off if it works, and only has a small cost if it does not. I will take that gamble. Most successful investments in new companies are where the odds are against you but, if you succeed, you will succeed in a big way.” “David Ricardo made a fortune buying bonds from the British government four days in advance of the Battle of Waterloo. He was not a military analyst, and even if he were, he had no basis to compute the odds of Napoleon’s defeat or victory, or hard-to-identify ambiguous outcomes. Thus, he was investing in the unknown and the unknowable. Still, he knew that competition was thin, that the seller was eager, and that his windfall pounds should Napoleon lose would be worth much more than the pounds he’d lose should Napoleon win. Ricardo knew a good bet when he saw it.

…in any probabilistic exercise: the frequency of correctness does not matter; it is the magnitude of correctness that matters…. even though Ruth struck out a lot, he was one of baseball’s greatest hitters…. Internalizing this lesson, on the other hand, is difficult because it runs against human nature in a very fundamental way… The Babe Ruth effect is hard to internalize because people are generally predisposed to avoid losses. …What is interesting and perhaps surprising is that the great funds lose money more often than good funds do. The best VCs funds truly do exemplify the Babe Ruth effect: they swing hard, and either hit big or miss big. You can’t have grand slams without a lot of strikeouts.

Risk, which is a situation where probabilities are well defined, is much less important than uncertainty. Casinos, which rely on dice, cards and mechanical devices, and insurance companies, blessed with vast stockpiles of data, have good reason to think about risk. But most of us have to worry about risk only if we are foolish enough to dally at those casinos or to buy lottery cards….” “Uncertainty, not risk, is the difficulty regularly before us. That is, we can identify the states of the world, but not their probabilities.” “We should now understand that many phenomena that were often defined as involving risk – notably those in the financial sphere before 2008 – actually involve uncertainty.” “Ignorance arises in a situation where some potential states of the world cannot be identified. Ignorance is an important phenomenon, I would argue, ranking alongside uncertainty and above risk. Ignorance achieves its importance, not only by being widespread, but also by involving outcomes of great consequence.” “There is no way that one can sensibly assign probabilities to the unknown states of the world. Just as traditional finance theory hits the wall when it encounters uncertainty, modern decision theory hits the wall when addressing the world of ignorance.


Hank Paulson says the financial crisis could have been ‘much worse’

While Bear Stearns’ failure in normal markets would not hurt the U.S. economy, we believed that the system was too fragile and fear-driven to take a Bear Stearns bankruptcy. To those who argue that Bear Stearns created moral hazard and contributed to the Lehman failure, I believe just the opposite—that it allowed us to dodge a bullet and avoid a devastating chain reaction.

If Bear had failed, the hedge funds would have turned on Lehman with a vengeance. Lehman would have failed almost immediately and the result would have been much worse than Lehman’s September failure, which occurred after we had stabilized Fannie Mae and Freddie Mac and Bank of Americaacquired Merrill Lynch. I would hate to imagine what would have happened if this whole thing started before we’d stabilized Fannie and Freddie.

An interview with Tim Geithner on this topic was done recently at the Yale School of Management and he speaks much more authoritatively on the limits of the Fed powers than I, but here goes. While our responses may have looked inconsistent, Ben, Tim, and I were united in our commitment to prevent the failure of any systemically important financial institution. But we had a balkanized, outdated regulatory system without sufficient oversight or visibility into a large part of the modern financial system and without the necessary emergency powers to inject capital, guarantee liabilities, or wind down a non-banking institution. So we did whatever we could on a case-by-case basis.

For Lehman, we had no buyer and we needed one with the willingness and capacity to guarantee its liabilities. Without one, a permissible Fed loan would not have been sufficient or effective to stop a run. To do that, the Fed would have had to inject capital or guarantee liabilities and they had no power to do so. Now, here’s the point that I think a lot of people miss: In the midst of a panic, market participants make their own judgments and a Fed loan to meet a liquidity shortfall wouldn’t prevent a failure if they believed Lehman wasn’t viable or solvent. And no one believed they were.

AIG is a cautionary tale. We should not have let our financial regulatory system fail to keep up with modern financial markets. No single regulator had oversight visibility or adequate powers to deal with AIG. Its insurance companies were regulated at the state level, its holding company was like a giant hedge fund sitting on top of the insurance companies, and it was regulated by the ineffective Office of Thrift Supervision, which also regulated—get this—Countrywide, WaMu, IndyMac, GE Capital. They all selected their regulator. So you get the picture, it’s regulatory arbitrage.

And I’m concerned that some of the tools we effectively used to stave off disaster have now been eliminated by Congress. These include the ability of Treasury to use its exchange stabilization fund to guarantee the money market funds, the emergency lending authority the Fed used to avoid the failure of Bear and AIG, and the FDIC’s guarantee of bank liabilities on a systemwide basis, which was critical.

The global smartphone supply chain needs an upgrade

At the peak in October 2017, smartphone components accounted for over 33% of exports from Taiwan, 17% of those from Malaysia and 16% from Singapore. Smartphones comprise 6% of Chinese exports. Memory chips flow from South Korea and Vietnam; system chips from Malaysia, Taiwan and elsewhere; and displays from Japan and South Korea. Rich-world firms, such as Qualcomm, sell licences to use their intellectual property (IP). The parts are then assembled, mainly by armies of Chinese workers.

Apple and 13 of its chip suppliers earn over 90% of the total pool of profits from the Apple system. Meanwhile the tail of other firms doing more basic activities must pay for most workers, inventories and fixed assets (see chart). So they have in aggregate a weak return on equity, of 9%, and a net profit margin of just 2%. Their earnings have not risen for five years. They include assemblers such as Taiwan’s Hon Hai and niche component makers, some of which are visibly struggling. On August 22nd AAC Technologies, a specialist in making phones vibrate, said its second-quarter profits fell by 39% compared with the previous year.

Apple, Samsung and most semiconductor makers could ride out such tensions, with their high margins and cash-laden balance-sheets. But the long chain of other suppliers could not, given their razor-thin margins, big working-capital balances and fixed costs. Tariffs could push them into the red. Of the 132 firms, 52% would be loss-making if costs rose by just 5%. And a ZTE-style cessation of trade would be disastrous. If revenues dried up and the 132 firms continued to pay their own suppliers, short-term debts and wages, 28% of them would run out of cash within 100 days.

If you are running a big firm in the smartphone complex, you should be reimagining things in preparation for a less open world. In a decade, on its current trajectory, the industry will be smaller, with suppliers forced to consolidate and to automate production. It may also be organised in national silos, with production, IP, profits and jobs distributed more evenly around the world. Firms will need to adapt—or be swiped away.

The story of Box: A unicorn’s journey to public success

The early days of Box’s selling file sharing and collaboration have largely been replaced by big corporate wins. One measure of Box’s success is its penetration of the Fortune 500—from 52% in the second quarter of 2016 to 69% in the same quarter of fiscal 2019. About 58% of Box’s total revenue comes from enterprises of 2,000 employees or more.

In Box’s recently completed fiscal quarter, it closed 50 deals of more than $100,000, compared with 40 a year ago; 11 deals of more than $500,000, versus eight a year ago; and two deals of more than $1 million, compared with four a year ago. It expects a strong pipeline of seven-figure deals in the back half of this year.

But in encouraging its salespeople to pursue bigger deals, Box increasingly faces competition from deeper-pocketed competitors in a total addressable market pegged at $45 billion, based on market research by Gartner and IDC.

Soccer fans, your team is coming after you

At the time of its 2012 initial public offering, Man United counted 659 million fans worldwide. Analysts estimate the team’s revenue this year will be about 587 million pounds ($763 million) — just $1.16 per supporter. Twitter Inc. has just 338 million active monthly users, yet enjoys revenue of $2.4 billion and a market value of $27 billion.

Digital marketing provides the opportunity for teams to put themselves in the middle of the sale of a service or product. It’s not simply about using a website or an app to sell fans more jerseys or baseball caps. It’s about turning the team into a platform, a way of connecting brands to customers, in the same way as Facebook Inc. and Alphabet Inc. already do.

Much in the way that price-comparison websites charge insurers or credit card companies for connecting them to customers, a sports team could, for example, offer its own exclusive video content with another provider’s mobile phone contract and take a cut of the proceeds. If that meant each fan were to spend just one more dollar a year with the club, it would provide a significant boost to sales.


Alibaba-backed apparel-sharing company YCloset brings sharing economy to a new level

Founded in December 2015, YCloset charges a monthly membership fee of 499 yuan and allows female users to rent unlimited clothes and accessories country-wide. Furthermore, users can choose to buy the apparel if they like to and prices fluctuate according to the rent count. Thus far, 75% of the income comes from membership fees and the remaining comes from sales of clothing. YCloset positions itself as a company that offers affordable luxury, professional and designer brand clothing. The company hopes to have the top famous brand to drive the long-tail brands.

In terms of business model, YCloset gradually shifted from one-time supplier purchase to brand partnerships with clothing companies. Brand partnerships allow revenue sharing between YCloset and their partners. To these clothing companies, YCloset gave them a new revenue, at the same time, they may get consumer insights from the data YCloset collects. In the future, YCloset will have joint marketing campaigns with the brands and assist in incubating new brands.

Autonomous delivery robots could lower the cost of last mile delivery by 20-fold

Last mile delivery – the delivery of goods from distribution hubs to the consumer – is the most expensive leg of logistics because it does not submit to economies of scale. The cost per last mile delivery today is $1.60 via human drivers but could drop precipitously to $0.06 as autonomous delivery robots proliferate.

Autonomous delivery robots are roughly seven times more efficient than electric vehicles on a mile per kilowatt basis. The major costs for autonomous delivery robots are hardware, electricity, and remote operators. Unlike in electric vehicles, the battery is not the largest cost component in slow moving robots. Air resistance is a function of velocity squared, suggesting that a robot traveling at four miles per hour loses much less energy than a car traveling at highway speeds to air resistance. As a result, rolling robots do not require large batteries, lowering both hardware and electricity costs relative to more traditional electric vehicles.

If rolling robots enable last mile delivery for $0.06 per mile, artificial intelligence could be advanced enough to improve their unit economics. A remote operator responsible for controlling robots in difficult or confusing situations probably will oversee roughly 100 robots, accounting for more than half of the cost per mile, as shown below. As autonomous capability improves, remote operators should be able to manage larger fleets of robots, bringing down the costs per robot.


Hospitals are fed up with drug companies, so they’re starting their own

A group of major American hospitals, battered by price spikes on old drugs and long-lasting shortages of critical medicines, has launched a mission-driven, not-for-profit generic drug company, Civica Rx, to take some control over the drug supply. Backed by seven large health systems and three philanthropic groups, the new venture will be led by an industry insider who refuses to draw a salary. The company will focus initially on establishing price transparency and stable supplies for 14 generic drugs used in hospitals, without pressure from shareholders to issue dividends or push a stock price higher.


Harvard Business School professor: Half of American colleges will be bankrupt in 10 to 15 years

There are over 4,000 colleges and universities in the United States, but Harvard Business School professor Clayton Christensen says that half are bound for bankruptcy in the next few decades. Christensen and co-author Henry Eyring analyze the future of traditional universities, and conclude that online education will become a more cost-effective way for students to receive an education, effectively undermining the business models of traditional institutions and running them out of business.

Christensen is not alone in thinking that online educational resources will cause traditional colleges and universities to close. The U.S. Department of Education and Moody’s Investors Service project that in the coming years, closure rates of small colleges and universities will triple, and mergers will double.

More than 90 per cent of Chinese teens access the internet through mobile phones, says report

The proportion of Chinese children under 10 years old who use the internet – which was only 56 per cent in 2010 – reached 68 per cent last year. More than 90 per cent of Chinese minors, those aged up to 18, can now access the internet through mobile phone and over 64 per cent of primary school kids have their own smartphones. Nearly 85 per cent of Chinese minors use WeChat, compared to only 48 per cent five years ago, but Chinese juveniles are still more fond of QQ, while Chinese adults prefer WeChat as a social app.

Curated Insights 2018.09.07

A market shakeup is pushing Alphabet and Facebook out of the tech sector

One of the biggest impacts will be on tech—a sector that has grown so big, at 26.5% of the S&P 500, it has produced more than half of the market’s gain this year, according to Bespoke Investment Group. Tech is being cut down to size, though, as several of its biggest stocks head over to the new communication sector. The losses will chop about 23% off the tech sector’s market value. It will be more oriented to chip makers, hardware, and software.

Thankfully, S&P and MSCI don’t make such changes often. The GICS taxonomy goes back to 1999. It has grown to 11 sectors, the latest being real estate, carved out of financials in 2016. But that was minor compared with the new musical chairs—affecting more than 1,100 companies globally.

Redrawing the GICS boundaries was necessary to reflect the changing tech and media landscapes. When the old sector lines were drawn, people made calls with flip phones, used MySpace for social media, and paid AT&T for cellular service and landlines. But mergers and tech developments have jumbled things up: Netflix is threatening Hollywood, Comcast has turned into a media giant, and Alphabet is in everyone’s business. Sure, technology remains the heart of these businesses. But so what? Facebook and Alphabet aren’t like Apple and Microsoft, which develop hardware and software, says Blitzer. It makes more sense to group Facebook and Alphabet with firms making money off advertising, content delivery, and other types of “communications,” he says.

Amazon sets its sights on the $88 billion online ad market

In turn, brands are increasingly recognizing Amazon’s vast customer reach, particularly to its more than 100 million Prime subscribers. In a study conducted last summer by Catalyst, the search and social media marketing company, only 15 percent of the 250 brands marketers polled felt they were making the most out of advertising on Amazon’s platform, and 63 percent of the companies already advertising there said they planned to increase their budget in the coming year.

In India, Google races to parry the rise of Facebook

Facebook ads, compared with those on Google search or YouTube, tend to transcend language barriers more easily because they rely more on visual elements. Pinpointing younger consumers and rural populations is easier with Facebook and its Instagram app.

Facebook and Google between them took 68 percent of India’s digital ad market last year, according to advertising buyer Magna. Media agency GroupM estimates digital advertising spending will grow 30 percent in India this year.

The tension is building between Spotify and the music industry

The easiest way for Spotify to save money would be to cut labels out of the process entirely. While the company has said time and time again that it doesn’t want to operate a label or own copyrights, it has been taking on functions of a record label. The company has developed tools to help artists plan tours and collect royalties, funded music videos and recording sessions, and held workshops with songwriters.

Record companies know Spotify can’t cut them out completely. They control too much music and offer resources artists need. But Spotify’s growth poses a threat. Successful independent artists, like Chance the Rapper, have created the perception that musicians may not need labels at all. “The music industry hates that Spotify, YouTube and Apple Music reduce the relevance of the traditional music business,’’ Masuch said. “Distribution is controlled by companies that aren’t part of the traditional ecosystem.’’

4 reasons Tesla Mobility is worth a lot less than Alphabet’s Waymo

Jonas estimates that Tesla has a 13% discount rate, versus Waymo’s 10%. “Tesla likely has a higher cost of capital vs. Alphabet/Waymo,” he writes.

Tesla will have to make money on the rides themselves, while big tech companies like Alphabet can also make money off the time spent in the car as well as what it learns from drivers. “Tesla’s business model offers potentially less room for adjacent revenue monetization,” he explains.

Tesla has offered very little information on what Tesla Mobility’s business model will look like, while Waymo and General Motors (GM) have “become increasingly conspicuous with their efforts to grow the business with specific targets for commercialization and deployment,” he explains.

More than half the value assigned to Waymo by Morgan Stanley’s internet team came from logistics, by which they apparently mean moving people and stuff around. That’s an opportunity Jonas doesn’t include for Tesla. “Logistics accounts for $89bn of the total $175bn value in our internet team’s Waymo DCF,” he writes. “We have not specifically ascribed any logistics based revenue to Tesla Mobility at this time.”

Lessons from Chance the Rapper (Value chains and profit pools)

“There is what’s called a master and a publishing portion of the record. So the master is the recording of it, so if I sign a record deal or a recording deal, I sign away my masters, which means the label owns the recording of that music. On the publishing side, if I write a record, and I sign away my publishing in a publishing deal, they own the composition of work… so the idea of it, you know what I’m saying? So if I play a song on piano that you wrote, I have to pay you publishing money, because it comes from that idea. Or if I sing a line from that song, it’s from the publishing portion. If I sample the action record, if I take a piece of the actual recorded music, that’s from the master. None of that shit makes any sense right, that shit didn’t make any sense to you? ‘Cause that shit is goofy as hell.”

Peak Valley?

Silicon Valley has always had one important advantage over other regions when it comes to the tech sector. There is a much higher density of talent, capital, employment opportunity, and basic research in Silicon Valley versus other locations. When I say density, I mean physical density. If you walked a mile, how many tech companies would you pass along the way? That metric in Silicon Valley has always been higher than elsewhere and still is. So even though the return on capital (human and invested) has significant headwinds in today’s Silicon Valley, it is still a lot easier to deploy that capital there. And I think that will continue to be the case for a long time to come.

Quantum computing: the power to think outside the box

That could make it easier to design new materials, or find better ways for handling existing processes. Microsoft, for instance, predicts that it could lead to a more efficient way of capturing nitrogen from the atmosphere for use in fertilisers — a process known as nitrogen fixation, which currently eats up huge quantities of power.

When something is familiar and common, you set a low reference point. So most bad outcomes are placed in the “Oh well, you got unlucky. Next time you’ll do better,” category, while all wins are placed in the, “Easy money!” category. Index funds live here. Even in a bad year, no one thinks you’re crazy.
When something is new or unfamiliar, you have no idea where the reference point is. So you’re cautious with it, putting most bad outcomes in the “I told you so” category and most wins in the “You probably got luck” category. When something is new and unfamiliar, the high reference point means not only will bad outcomes will be punished, but some good outcomes aren’t good enough to beat “par.” So even high-probability bets are avoided.

Newcomers

We were doing something different. And anytime you’re doing something different the only people who can participate are people who don’t have career risk. Anytime you introduce the factor of career risk into the decision-making process, you have to do the norm. It’s a divergent system: If you invest in a divergent system and it goes wrong, you have massive downside for your career personally, separate from the organization. It could be the right decision – it was probabilistically a great bet. But if it goes wrong and it looks different, you could get fired. And if it goes right, you still may not have enough upside career-wise.

Deciding whether to do something isn’t just about whether or not it’ll work. It’s not even about the probability of whether it might work. It’s whether it might work within the context of a reference point – some gauge of what others consider “normal” to measure performance against. Thinking probabilistically is hard, but people do it. And when judging the outcomes of decisions, a win isn’t just a win; it’s “You won, but that was an easy bet and you should have won.” Or, “You won, but that was a gamble and you got lucky.”

Curated Insights 2018.08.31

What will always be true

Think about how profound this is. One of the shortest lived mammals and one of the longest lived both have the same expected number of heart beats at birth. The term for differently sized systems displaying similar behavior is known as scale invariance and can be applied to non-biological systems as well.

As the number of employees increases, company revenue increases slightly exponentially/superlinearly. To be exact, every time the number of employees doubles (a 100% increase), revenue goes up by 112% (more than double). This corresponds to the slope of the line above at 1.12 (on a log-log scale). Note that this does not imply causality between these two metrics, but that, in a successful business, they tend to move together in some organic fashion.

For example, Netflix prides itself on being “lean”, Amazon hires thousands of warehouse workers, and Apple has a large retail presence, yet they all seem to adhere to some natural law related to company size and revenue as seen by their similar slopes. I found the same thing when comparing the number of employees to total assets as well, except the scaling exponent was slightly higher at 1.25:

Even if we cured cancer, we only add 3 years to life expectancy. Of course this is still a noble goal because it would prevent so much pain for so many people, but it doesn’t change the fact that life leads to death. It doesn’t change what will always be true. So take your 2.2 billion heart beats and make them count. They are the only ones you will ever get.

How TripAdvisor changed travel

Over its two decades in business, TripAdvisor has turned an initial investment of $3m into a$7bn business by figuring out how to provide a service that no other tech company has quite mastered: constantly updated information about every imaginable element of travel, courtesy of an ever-growing army of contributors who provide their services for free. Browsing through TripAdvisor’s 660m reviews is a study in extremes.

Researchers studying Yelp, one of TripAdvisor’s main competitors, found that a one-star increase meant a 5-9% increase in revenue. Before TripAdvisor, the customer was only nominally king. After, he became a veritable tyrant, with the power to make or break lives.

As the so-called “reputation economy” has grown, so too has a shadow industry of fake reviews, which can be bought, sold and traded online. For TripAdvisor, this trend amounts to an existential threat. Its business depends on having real consumers post real reviews. Without that, says Dina Mayzlin, a professor of marketing at the University of Southern California, “the whole thing falls apart”. And there have been moments, over the past several years, when it looked like things were falling apart. One of the most dangerous things about the rise of fake reviews is that they have also endangered genuine ones – as companies like TripAdvisor raced to eliminate fraudulent posts from their sites, they ended up taking down some truthful ones, too. And given that user reviews can go beyond complaints about bad service and peeling wallpaper, to much more serious claims about fraud, theft and sexual assault, their removal becomes a grave problem.

By 2004, TripAdvisor had 5million unique monthly visitors. That year, Kaufer sold TripAdvisor to InterActiveCorp (IAC), the parent company of the online travel company Expedia, for $210m in cash, but stayed on as CEO. For the next few years, TripAdvisor continued to grow, hiring more than 400 new employees around the world, from New Jersey to New Delhi. By 2008, it had 26 million monthly unique visitors and a yearly profit of $129m; by 2010, it was the largest travel site in the world. To cement its dominance, TripAdvisor began buying up smaller companies that focused on particular elements of travel. Today, it owns 28 separate companies that together encompass every imaginable element of the travel experience – not just where to stay and what to do, but also what to bring, how to get there, when to go, and whom you might meet along the way. Faced with such competition, traditional guidebook companies have struggled to keep up. In 2016, Fodor’s, one of the most established American travel guide companies, was bought by a company called Internet Brands.

By 2011, TripAdvisor was drawing 50 million monthly visitors, and its parent company, IAC, decided that the time had come to spin it out as a separate, publicly traded entity. Its IPO was valued at $4bn, but in December, on the first day of trading, shares fell. TripAdvisor was in new and uncertain territory, and no one knew how the company would fare on its own.

Even so, TripAdvisor is still worth only half of what it was in June 2014, and its shares dropped again in August after it missed its revenue forecast. Booking.com and Expedia, which together accounted for 46% of TripAdvisor’s annual revenue last year, largely due to marketing deals, cut back on their advertising spending. Where Maffei saw positive results, the travel industry news site Skift saw warning signs. TripAdvisor had grown by only 2% in the second quarter of 2018, it pointed out, using the words “anaemic” and “sluggish” to describe its situation. Over time, TripAdvisor has grown so large that it has become difficult to explain what it is, exactly: it’s not quite a social network, though it encourages users to “like” and comment on each other’s posts; nor is it a news site, though its business is staked on aggregating legitimate sources to provide an up-to-date portrait of the world; nor is it simply an online marketplace like its competitors Expedia.com and Booking.com. When TripAdvisor first started, consumer reviews were a new and exciting thing; now they are everywhere.

How Hollywood is racing to catch up with Netflix

“The modern media company must develop extensive direct-to-consumer relationships,” AT&T chairman-CEO Randall Stephenson told investors last month. “We think pure wholesale business models for media companies will be really tough to sustain over time.”

“The single worst thing Disney could do is launch a DTC product that consumers find underwhelming,” analyst Todd Juenger of Bernstein Research wrote this month. “We struggle to see how Disney can simultaneously make this [sustained] investment while also de-leveraging, even in a stable macro environment. We fear they will either underinvest in the DTC product, or fail to delever.”

Tucows: High reinvestment rate to drive cash flow growth

“First, and probably most importantly, all of our business lines are significantly recession proof. Relatively speaking, low price items, whether they are domain names or mobile phone service or home Internet, they are core needs, things that people cannot do without. They are not luxuries. They are, in the context of today’s world, necessities. And so we believe our business to be relatively recession-proof.”

“When looking at the Ting Internet pipeline, there are a few things that I want to reiterate up front. First, we are not cash constrained. We are not opportunity constrained. We are resource constrained. There is plenty of opportunity out there.” – TCX CEO August 21, 2018


Fiat Chrysler’s cheapskate strategy for the future of driving

The role of supplier to a bleeding-edge innovator has its perks. Fiat Chrysler is currently in talks with Waymo to license the software it would need to sell full self-driving cars to retail customers. Waymo CEO John Krafcik has said he envisions sharing profits from the robotaxi business with automaker partners in the future. “We’re not disrupting this industry—we are enabling this industry,” Krafcik told Bloomberg in an interview last month.

There are also partnerships with BMW AG and auto supplier Aptiv Plc to bring limited autonomous features, such as automated steering and lane changes, to Fiat Chrysler’s Jeep, Ram, Maserati and Alfa Romeo brands starting in 2019. In that way, without paying billions for research, Fiat Chrysler may end up with access to much of the same technology as big-spending leaders in the field.

More than money, Berkshire’s Todd Combs coming on Paytm board is the best outcome: Vijay Shekhar Sharma

I will say something which in counterintuitive here; in India, distribution is king over data. I think the distribution of Paytm, the reach of Paytm is the reason of the network effect that creates its value, not necessarily the outcome of data which we have not started using yet. I could say that different verticals of our business will use it differently versus the plan that we have in terms of our distribution. Our plan is to distribute it across every nook and corner and get a larger number of consumers. That is the first success that we will have and when we build on top of it as the next set of things.

The massive popularity of esports, in charts

In terms of viewership, the big esports events post even more impressive numbers. The 2017 League of Legends world championship, held in Beijing, drew a peak of over 106 million viewers, over 98 percent of whom watched from within China, according to industry analyst Esports Charts. That’s roughly on par with the audience for the 2018 Super Bowl.

Newzoo estimates that by 2021 esports will be a $1.7 billion industry worldwide. A 2018 Washington Post-University of Massachusetts Lowell poll found, for instance, that 58 percent of 14- to 21-year-olds said they watched live or recorded video of people playing competitive video games, with a similar percentage reporting that they played such games themselves. Among adults overall, just 16 percent said they watched competitive video gaming.

The business of insuring intangible risks is still in its infancy

“Today the most valuable assets are more likely to be stored in the cloud than in a warehouse,” says Inga Beale, chief executive of Lloyd’s of London.

Intangible assets can be hard to define, let alone translate into dollars (under international accounting standards they are defined as “identifiable non-monetary asset[s] without physical substance”). Yet their growth has been undeniable. In 2015, estimates Ocean Tomo, a merchant bank, they accounted for 84% of the value of S&P 500 firms, up from just 17% in 1975. This does not merely reflect the rise of technology giants built on algorithms; manufacturers have evolved too, selling services alongside jet engines and power drills, and crunching data collected by smart sensors.

As the importance of intangibles has grown, so has companies’ need to protect themselves against “intangible risks” of two types: damage to intangible assets (eg, reputational harm caused by a tweet or computer hack); or posed by them (say, physical damage or theft resulting from a cyberattack). However, insurance against such risks has lagged behind their rise. “The shift is tremendous and the exposure huge,” says Christian Reber of the Boston Consulting Group, “but the insurance industry is only at the early stage of finding solutions to close the gap.”

The biggest antitrust story you’ve never heard

Since 1970, the share of the American stock market owned by large investment firms has grown from 7% to 70%. Collectively, the three biggest private funds — BlackRock, Vanguard, and State Street — own more than any other single shareholder in 40% of the public companies in the U.S. That means they are often the most influential shareholders of companies that are supposed to be in competition with each other. Such “horizontal shareholding,” as it’s called, may erode competition, boost consumer prices, and possibly violate long-standing antitrust laws.

Respect the predictive power of an inverted yield curve

The silver lining in prior yield curve inversions is a recession did not occur immediately. On average it was 19 months before the onset of a recession. Additionally, the average return for the S&P 500 Index from the date of the inversion to the recession was 12.7%. For investors then, one need not panic at the first instance of an inversion; however, thought should be given to one’s portfolio allocations and make any necessary adjustments during the ensuing months. In short, respect should be given to the potential economic impact of a yield curve inversion.

Curated Insights 2018.08.24

Tech firms account for 60% of profit margin growth in the past 20 years

The information technology sector – which contains the bulk of superstar firms – accounts for 60% of the increase in S&P 500 profit margins over the past 20 years, while the “adjacent tech” sector, comprising the health care (including biotech firms) and consumer discretionary sectors (incl. firms such as Booking Holdings and Expedia) accounts for 40% of the rise. It also means the bulk of the market – i.e., all firms ex. tech, healthcare and consumer discretionary – have seen no margin growth at all since 1998.

Dear Elon: An open letter against taking Tesla private

First, as a private company, Tesla will be unable to capitalize on its competitive advantages as rapidly and dramatically as it would as a public company, an important consideration given the network effects and natural geographic monopolies to which autonomous taxi and truck networks will submit. Second, in the private market, Tesla would lose the free publicity associated with your role as the CEO of the public company not only with the bestselling mid-sized premium sedan in the US, but also arguably in the best position to launch a completely autonomous taxi network nationwide in the next few years. Just ask Michael Dell: he wants to lead a public company once again for a reason. Third, you will deprive most of your individual investors of a security to bet on you and your strategy, ceding that opportunity to high net worth and institutional investors. Finally, if you do not take Tesla private, you will be surprised and gratified at investor reaction once they realize and understand the scope and ramifications of your long-term vision and strategies.

Thoughts on Xiaomi’s eighth anniversary and inaugural month as a public company

As of March 2018, Xiaomi already had 38 apps with more than 10 million monthly active users, and 18 apps with more than 50 million monthly active users, including the Mi App Store, Mi Browser, Mi Music, and Mi Video apps. Rather than paying search engines to acquire users, Xiaomi is essentially getting paid for acquiring users through selling its smartphones. This allows Xiaomi to have a negative CAC (customer acquisition cost) for its Internet services.

Another under-appreciated pillar of Xiaomi’s growth is its “ecosystem strategy.” Xiaomi strategically invests in many startups as well as the many Internet services providers they work with, both in China and outside of China. Companies in the Xiaomi ecosystem include SmartMi (air purifiers), Zimi (power banks), Huami (Mi bands), Chun Mi (rice cookers), and 80-plus more. Thanks to these prolific investments, you can find a wide variety of products in any Xiaomi store, from scooters to ukeleles (see below). As a result, every time consumers visit a Xiaomi store, they can find something new, and the frequency of store visits is a lot higher than typical smartphone brands, even Apple.

Ensure the price of the hardware is as low as possible so the company can grow market share and users. Sell the phones online, direct-to-consumer, bypass the middlemen, and past the enormous cost savings to consumers. Overtime, the company will monetize on Internet services.

When Yahoo! Invested in Alibaba (another GGV portfolio company) in 2005, the world had 1 billion Internet users. Now, the world has 3.5 billion Internet users. Over the last 13 years, Alibaba’s valuation increased 100 times from $5 billion to $500 billion. The fact that China was the fastest growing market for Internet users during this period, coupled with Alibaba’s amazing ability to execute, turned the company into a growth miracle. In the next 12-13 years, the world will most likely grow to 5 billion Internet users. The world’s next 1 billion Internet users that will come online in the next decade – via affordable but high-quality smartphones – are outside of the US. They are in the 74 countries that Xiaomi is already in today. Going forward, Xiaomi is very well-positioned to take advantage of the next phase of growth through selling hardware, software, and bundled Internet services, as well as by investing in partner companies in those countries.


Does Tencent Music deserve a Spotify-like valuation?

Tencent Music this year could generate revenue less than half of Spotify’s projected $6 billion. Tencent Music is profitable, which is rare in music-streaming. The firm pulled in roughly two billion yuan ($290 million) in net income last year. Spotify, in contrast, reported a net loss of about $1.4 billion last year, although nearly $1 billion of that was due to a one-time financing charge.

In terms of users, Tencent Music is way bigger than Spotify. Tencent Music operates streaming service QQ Music as well as karaoke and live-streaming music apps Kugou and Kuwo. The three services had a combined 700 million monthly users in China as of September 2017, according to Tencent Music. Tencent Music operates a fourth service, the karaoke app WeSing, which at the end of last year had more than 460 million registered users. By comparison, Spotify had 180 million monthly users and 83 million paid subscribers as of June, the company has said. But Spotify’s ratio of paid versus free users is higher than at Tencent Music, where only a fraction of its Chinese users pay for music.

The secret of Tencent Music’s profitability is virtual goods and cheap music rights. Most of its revenue comes from non-subscription services including karaoke and live-streaming services, where users can pay to send virtual gifts to performers.

Swelling clout of US corporate giants is depressing pay, analysts say

As the economic weight of a small number of highly profitable and innovative “superstar” companies has increased, workers’ slice of the pie has fallen in their industries. This may have contributed to a broader fall in labour’s share of income that has been particularly noticeable in the US since the beginning of the 2000s. At the same time, corporate profitability has surged to record highs. 

Goldman Sachs analysts say rising product and labour market concentration has imposed a drag of 0.25 percentage points on annual wage growth since the early 2000s. They also stress, however, that America’s dreary productivity growth is a bigger problem.

ARK Disrupt Issue 138: GPUs, crypto, fintech, mobility, and disease

Turing will be able to perform graphics, deep learning, and ray tracing operations simultaneously, a first for any processor. The Turing GPU can perform 10 billion operations per second, enabling ray tracing in real time. In addition, it is capable of 125 trillion deep learning operations and 16 trillion graphics operations per second. Nvidia and other chip companies rarely dedicate hardware to a specific algorithm in the absence of a large market opportunity. Nvidia posits that the $2,000 Turing ray tracing GPU will target 50 million artists and designers globally. A 10% hit rate would create a $10 billion market, nearly matching Nvidia’s annual revenue today.

Because 98% of all genetic diseases are polygenic, that is involving more than one gene, the clinical utility of whole genome sequencing (WGS) is taking on new importance. To date, roughly two million whole human genomes have been sequenced. If DNA sequencing costs continue to drop by 40% per year, the number of whole human genomes sequenced should increase at 150% rate per year. As a result, genome-wide association studies should power poly-epigenetic models of disease and result in molecular diagnostic tests which introduce more science into health care decision-making.

Why battling bugs is a booming business, and may be getting bigger

Preventing pest infestations—or mitigating them after the fact—is particularly important for restaurants, hotels, and hospitals. Not only can regulators impose heavy fines or shut down businesses that violate health ordinances, customers who encounter a bug-infested business may shame them on social media. “In the age of customer review apps such as Yelp, businesses are well-aware that a customer report or, worse, photo of a pest infestation can be shared around the internet within minutes and potentially damage their brand,” says Zhu. With reputations at stake, businesses in the food and beverage, hospitality, and health care sectors are especially inclined to hire a pest control company promptly when faced with an infestation. In fact, many commercial customers schedule routine treatments to prevent potential infestations, providing pest control companies with a recurring revenue stream.

The companies best positioned to thrive in this environment are those with access to sufficient capital to acquire or open new locations. Operating an extensive branch network confers a number of competitive advantages, including the opportunity to generate greater brand recognition through cost-effective advertising and the ability to operate with lower average costs due to economies of scale. In recent years, consolidation has been intense in North America, which is still home to about half the world’s pest control companies. In fact, four of the 100 largest pest control companies in the US were acquired in May 2018 alone, two of them by US-based Terminix, and one each by European firms Rentokil and Anticimex.

Despite modern pesticides and the efforts of tens of thousands of companies, pest control remains a Sisyphean task. “It’s easy to kill bugs, but it’s much harder to keep them from coming back,” Zhu says. For the foreseeable future, the bedbugs will continue to bite—and demand for professional pest control services should continue to grow.

Litigation finance offers investors attractive yields

Funds that invest in litigation are on the rise. In the past 18 months some 30 have launched; over $2bn has been raised. Last year Burford Capital, an industry heavyweight, put $1.3bn into cases—more than triple the amount it deployed in 2016. Lee Drucker of Lake Whillans, a firm that funds lawsuits, says he gets calls weekly from institutional investors seeking an asset uncorrelated with the rest of the market—payouts from lawsuits bear no relation to interest-rate rises or stockmarket swings.

Returns are usually a multiple of the investment or a percentage of the settlement, or some combination of the two. Funders of a winning suit can expect to double, triple or quadruple their money. Cases that are up for appeal, where the timespan is short—usually 18-24 months—and the chance of a loss slimmer, offer lower returns. New cases that are expected to take years offer higher potential payouts.

As funders compete for high-quality investments, opportunities in new markets arise. Bentham IMF, a litigation funder based in New York, has joined Kobre & Kim, a law firm, to set up a $30m fund for Israeli startups to pursue claims against multinationals—for example, over trade-secret violations. A burgeoning secondary market is likely to develop further, allowing investors to cash out before long-running suits are closed. Burford recently sold its stake in an arbitration case concerning two Argentine airlines for a return of 736%. Such mouth-watering profits should keep luring capital into the courtroom.

Network-based businesses will disrupt all sectors of the economy

Networks are even more powerful because their foundations are even stronger. Large corporations leveraged mass production, mass distribution, and economies of scale. Networks leverage mass computation, mass connectivity, and network effects. Because computation and connectivity improve at exponential rates, the owner of a network has insurmountable advantages over the owner of a traditional corporation.

Corporations believe that bits enhance atoms. Networks recognize that bits are the new capital and atoms are the new labor.

Dragon quest

China now has over 100 cities with populations topping one million, compared to the entire continent of Europe which has a paltry 34. Ever heard of Zhengzhou? Don’t worry if not, it’s a tier two city in Henan province that only just makes it into China’s top 20, yet it has a bigger population than the whole of Denmark. Expressed another way, China already has more millennials than the US has people.

China is of course the world’s second biggest economy and poised one day to reach the top, but consider this: if its per capita wealth were to catch up with that of Hong Kong’s, then its resulting GDP would not just surpass the United States’ today, but triple it. This is more simply reflected in the fact that each year approximately 35 million Chinese enter the middle and affluent classes. No wonder multinationals around the world are flinging everything they have at the country.


China reaches 800 million internet users

The U.S is estimated to have around 300 million internet users. The number of internet users in China is now more than the combined populations of Japan, Russia, Mexico and the U.S., as Bloomberg noted. The new statistic takes internet adoption in the country to 57.7 percent, with 788 million people reportedly mobile internet users. That’s a staggering 98 percent and it underlines just how crucial mobile is in the country.

Jakarta, the fastest-sinking city in the world

It sits on swampy land, the Java Sea lapping against it, and 13 rivers running through it. So it shouldn’t be a surprise that flooding is frequent in Jakarta and, according to experts, it is getting worse. But it’s not just about freak floods, this massive city is literally disappearing into the ground.

“If we look at our models, by 2050 about 95% of North Jakarta will be submerged.”

It’s already happening – North Jakarta has sunk 2.5m in 10 years and is continuing to sink by as much as 25cm a year in some parts, which is more than double the global average for coastal megacities. Jakarta is sinking by an average of 1-15cm a year and almost half the city now sits below sea level. The impact is immediately apparent in North Jakarta.

There is technology to replace groundwater deep at its source but it’s extremely expensive. Tokyo used this method, known as artificial recharge, when it faced severe land subsidence 50 years ago. The government also restricted groundwater extraction and businesses were required to use reclaimed water. Land subsidence subsequently halted. But Jakarta needs alternative water sources for that to work. Heri Andreas, from Bandung Institute of Technology, says it could take up to 10 years to clean up the rivers, dams and lakes to allow water to be piped anywhere or used as a replacement for the aquifers deep underground.

We all have it now

Think about that. It took 7 months for the biggest volcanic explosion in the last 10,000 years, one that affected the global climate and killed twice as many people as any other volcanic explosion in recorded history, to become news. If the same event were to happen today, we could have someone tweeting it within minutes and we would probably have video footage online within the hour. This is possible because of the democratization of information. We all have it now. Historically, having an informational edge was worth something. Being faster or having better access meant making more money. Not anymore.

This is where we are. Only those using advanced quantitative techniques have any chance of exploiting anomalies in the data. The rest of us will need to do something else. We went from a world of privileged access to information to a world where a single tweet can change everything. A world where anyone can break the story, anyone can get the data, and anyone can be a media company. If, as Brendan Mullooly points out, today’s edges are tomorrow’s table stakes, what does that leave the typical investor to do? The answer lies in a maxim from Jim O’Shaughnessy: you must arbitrage human nature.


Buyback derangement syndrome

Investors generally do not spend the money paid out in buybacks on champagne bubble baths or other forms of consumption. Rather, they reinvest it in other stocks and bonds. Buybacks thus facilitate a movement of capital from companies that don’t need it to those that do. That’s how markets are supposed to work.

Yet another claim is that much of the market rise over the last few years has been from buybacks. The numbers don’t bear this out. The direction is plausible, as researchers have found that share prices do tend to increase—by around 1%—when buybacks are announced. Several explanations have been offered for this positive reaction including that investors see repurchases as a signal that management thinks shares are undervalued, and that investors cheer when management returns cash to shareholders rather than, perhaps, wasting it on “empire building.” These explanations are behavioral effects at the margin.

Indexers will cause the next stock market crash?

My Bloomberg colleague Eric Balchunas points out that during the 2008 credit crunch, the money flows were into index funds and exchange-traded funds; more than $205 billion was put into these funds while active funds experienced $259 billion in outflows. In other words, the 57 percent sell-off of U.S. equity markets during the financial crisis gives us a good idea how passive indexers will behave when markets crash: they become net buyers while active funds become net sellers.

Beyond the 2008 crash, we have seen several market corrections since 2009. As my colleague, Michael Batnick observed, from May to October 2011, the Standard & Poor’s 500 Index fell about 20 percent. Again, between May 2015 and mid-February 2016 the S&P 500 fell about 14 percent. Other indexes, such as the Russell 2000 fell even more. And what happened? Passive index funds continued to gain market share at the expense of actively managed funds.

Which raises the question: Just who was “cruelly exposed” in those corrections? By all lights, it looks like it was the actively managed funds.

Curated Insights 2018.08.17

Not enough people are paying attention to this economic trend

Haskel and Westlake outline four reasons why intangible investment behaves differently:

  • It’s a sunk cost. If your investment doesn’t pan out, you don’t have physical assets like machinery that you can sell off to recoup some of your money.
  • It tends to create spillovers that can be taken advantage of by rival companies. Uber’s biggest strength is its network of drivers, but it’s not uncommon to meet an Uber driver who also picks up rides for Lyft.
  • It’s more scalable than a physical asset. After the initial expense of the first unit, products can be replicated ad infinitum for next to nothing.
  • It’s more likely to have valuable synergies with other intangible assets. Haskel and Westlake use the iPod as an example: it combined Apple’s MP3 protocol, miniaturized hard disk design, design skills, and licensing agreements with record labels.

For example, the tools many countries use to measure intangible assets are behind the times, so they’re getting an incomplete picture of the economy. The U.S. didn’t include software in GDP calculations until 1999. Even today, GDP doesn’t count investment in things like market research, branding, and training—intangible assets that companies are spending huge amounts of money on.


How Box conquered the enterprise and became a $1.7 billion company in a decade

However, what most people failed to understand—and continue to misunderstand to this day—is that Dropbox was never launched as a competitor to Box. The use cases were completely different. Box.net and Dropbox may have shared some similar underlying technologies (and an uncomfortably similar name), but the focus of Dropbox was cloud-based file management for the consumer market. Box was focused on file sharing. By the time Dropbox launched in 2007, Box.net had already largely abandoned the consumer market in favor of the enterprise. There were other key differences between the two products, such as the necessity of installing a dedicated Dropbox directory on a user’s local machine versus Box.net’s entirely cloud-based interface. Additionally, the two companies’ target markets and business models couldn’t have been more different.

Levie knew SharePoint was Box’s biggest competitor, so he did what any inventive, irreverent entrepreneur would do—he took out a billboard advertisement on a stretch of highway on Route 101 between San Francisco and Silicon Valley. The ad promised SharePoint users that Box would pay for three months of SharePoint access if they didn’t prefer Box. In February 2009, Box went one step further in its media assault on Microsoft by erecting another billboard, this one highlighting the many aspects of SharePoint that were most unpopular among its user base.

While the enterprise market represented a unique chance for Box to pivot away from the increasingly competitive consumer market, essentially shifting the focus of the entire company was no small undertaking. Until that point, Box had used a freemium business model. This worked fine for the consumer market, but it was completely unsuitable for the enterprise. This meant Box would not only have to radically redesign its product from the ground up but also restructure its entire business model.

By acquiring Increo, Box immediately gained access to Increo’s innovative document collaboration tools. This was crucial. It wasn’t enough for Box to offer cloud-based storage or integrations with Salesforce and Office. It had to offer additional value as competing tools vied for dominance.

The consumerization of enterprise IT driven by Box and other forward-thinking companies wasn’t merely an attempt to cultivate a unique value proposition or drive adoption. It reflected much broader shifts in computing in general. The advent of Web 2.0 apps created a new design paradigm that placed emphasis on ease of use and accessibility across multiple devices over complex file management tools. Smartphones fundamentally changed the way we think of computing. For an enterprise software company like Box to be at the forefront of trends in usability was impressive.

OneCloud was an excellent example of how consumer-focused design informed Box’s broader strategy. The company had built a platform for developers in 2011 known as the Box Innovation Network, which functioned similarly to an app marketplace. OneCloud was an extension of this idea, only it was intended exclusively for mobile devices. This would later become a predictable cycle in Box’s development. New features were added to the product to meet emerging needs, and those features were presented to users in ways that directly mirrored those of consumer apps and sites.

What’s more important, however, is how well Box converted its free users to paid subscribers. Consumer apps like Evernote convert free users to paid plans at a rate of approximately 3%. Box was converting free users to paid plans at a rate closer to 8%, including major corporate customers such as Bank of New York and ambient advertising powerhouse Clear Channel. As a result, Box achieved revenues of more than $11M in 2011.

Because most of Box’s sales calls came from companies that had already been using the product, Box’s sales teams were typically able to close 60% of those deals within two weeks—an impressive figure, especially considering the often months-long sales cycles typically associated with the enterprise market.

Box has done an excellent job of not only carving out its own niche in an increasingly competitive space but also by applying design and UX principles of consumer-focused SaaS products to redefine how enterprise software looks, feels, and works. With its keen focus on usability, ease, and simplicity, Box has become a leading force in the consumerization of the enterprise and has shaped how other enterprise software companies approach their products.

Ad tech firm poised to surge 50%

Bid factoring is essentially a linear equation that enables marketers to apply multipliers to different targeting parameters. This approach makes it easier to value each user individually and dynamically, allowing marketers to more easily reach their target users. Bid factoring saved time for marketers through automation and removed the need to store tons of line item permutations, therefore lowering data storage costs.

When Green started The Trade Desk, his goal was to “build a company for the next 100 years.” He did not want to follow the same mistakes that other companies in the space made such as having a conflict of interest by being on both the buy and sell side. Green decided to build a demand side platform because he believed the demand side of the advertising transaction will always have the advantage. In advertising it will always be a buyer’s market because it is easy to add supply by having an extra impression on a web page or additional 30-second spot to a commercial break to meet increased demand. This basic economic reality means advertising supply is more elastic than demand and will forever put the buy side in the power position.

The Trade Desk would also be transparent and not charge unsustainable take rates. Green believed once the digital advertising industry matures, total transaction costs to purchase a digital ad would be $0.20-$0.30 for every $1.00 spent, with roughly $0.15-$0.20 going to the DSP and $0.05-$0.10 being split between the SSP and the ad exchange. The Trade Desk could have charged much higher take rates but decided to charge customers what it believed would be the fair end-state price for their services. While take rates could become lower as competition potentially increases, similar to what happened with discount stock brokerages, barriers to entry and the DSP’s ability to provide increasing value to advertisers overtime should preserve prices.

As the ad market has grown, the number of auctions has increased exponentially. In order for a DSP to win an auction, it now takes many more looks. For each ad campaign, costs have increased while revenues remained fairly flat, increasing operating leverage. DSPs that have half the ad spend as The Trade Desk will struggle because they will incur the same amount of expense per ad campaign but monetize less, making it much more difficult to be profitable if you are a smaller player and don’t have the scale.

Every day The Trade Desk’s customers log into their platform to use the data and analysis to value ad inventory and run marketing campaigns. Advertisers provide their customer data and publishers provide their user data, which The Trade Desk uses to help advertisers value media for their specific needs. As The Trade Desk accumulates more data over time, its insight and analysis add more value to its customers, creating a self-reinforcing virtuous cycle.


Nvidia’s new Turing architecture is all about real-time ray tracing and AI

Nvidia describes the new Turing architecture as “the greatest leap since the invention of the CUDA GPU in 2006.”

“Hybrid rendering will change the industry, opening up amazing possibilities that enhance our lives with more beautiful designs, richer entertainment and more interactive experiences,” said Nvidia CEO Jensen Huang. “The arrival of real-time ray tracing is the Holy Grail of our industry.”

The new RT cores can accelerate ray tracing by up to 25 times compared to Nvidia’s Pascal architecture, and Nvidia claims 10 GigaRays a second for the maximum performance.

With NGX, Nvidia today also launched a new platform that aims to bring AI into the graphics pipelines. “NGX technology brings capabilities such as taking a standard camera feed and creating super slow motion like you’d get from a $100,000+ specialized camera,” the company explains, and also notes that filmmakers could use this technology to easily remove wires from photographs or replace missing pixels with the right background.


Tesla’s autonomous opportunity is severely underappreciated

We estimate that net revenue for autonomous platform providers – those companies that own the software technology stack for autonomous ride-hailing services – should exceed $2 trillion by 2030, roughly equal to our expectations for automaker revenue at that time. Unlike their auto-manufacturing peers, however, autonomous platform providers should see software-like margins, be less capital-intensive, and enjoy network-effect-driven regional competitive dominance. So, while autonomous platform providers may generate the same revenue as automotive manufacturers, ARK believes these providers will generate six times the operating earnings and consequently will prove to be substantially more valuable. In fact, ARK estimates autonomous platforms will be worth more than the entire $4 trillion global energy sector.

An enhanced Autopilot package with the ability to self-drive costs $5,000 upfront or $6,000 for customers who choose to wait and buy later. Payment for this feature alone can be thought of as nearly pure profit on every Tesla sold. In addition, once Tesla launches the Tesla Network, its autonomous ride-hailing network, it could collect platform fees, similar to Uber’s model today, from every autonomous ride charged to the consumer. Given a rate of $1 per mile to the end consumer and over 100,000 miles per year per vehicle, Tesla could benefit from $20,000 in high-margin platform fees per car per year. Over a five-year lifetime, a single Model 3 could generate $40,000 in net cash flow. Even investors optimistic about Tesla’s prospects project the Model 3 cash flow at $4,000 and one-time in nature. In effect, each Model 3 sale could generate 10 times more cash flow than investors currently understand.

Google’s targeted ads are coming to a billboard near you

Digital outdoor ad spending is growing at 15 percent annually, and will overtake traditional outdoor outlays by 2020, according to PwC. But Google is the 800-pound gorilla that’s not yet in the room. It would give the company another major edge over Facebook, which doesn’t have the same access to location-based mobile data.


Alibaba tweaks a controversial legal structure

There are three problems with VIEs. First, key-man risk. If the people with nominal title die, divorce or disappear, it is not certain that their heirs and successors can be bound to follow the same contracts. Second, it is not clear if the structure is even legal. China’s courts have set few reliable precedents on VIEs and the official position is one of toleration rather than approval. Third, VIEs allow China’s leading tech firms to be listed abroad, preventing mainlanders from easily owning their shares and participating in their success.

Alibaba’s proposed change is aimed at tackling the first problem, key-man risk. At the moment four of its five VIEs are nominally owned by Jack Ma, the firm’s leader, and Simon Xie, a co-founder and former employee. After the restructuring, the two men will no longer be the dominant counterparties. Instead the VIEs will be owned by two layers of holding companies, which will sign contracts with Alibaba. These holding companies will ultimately be nominally owned by a broader group of Alibaba’s senior Chinese staff. The idea is that if anyone gets run over by a bus, then the scheme will not be disrupted, because nominal control is spread among a wider group of people. The new approach is far from perfect but it is an improvement. If all goes to plan it will be completed by 2019. Other tech firms may feel pressure to follow.

$1b+ market map: The world’s 260 unicorn companies in one infographic
60+ startups disrupting IKEA in one market map

SoftBank’s Son says WeWork is his ‘next Alibaba’

It is rare for Son, who casts a wide net with his startup investments, to commit so much resources to a single company. But he said WeWork is more than just a renter of office space: it is “something completely new that uses technology to build and network communities.”

The use of shared space to forge connections is not unique to WeWork. The company’s edge lies in the steady flow of data it collects on members, which is shared with other locations and can be accessed by users of the WeWork app around the world. The idea is that more data means more innovation — a model that underlies Son’s excitement about the company.

What MoviePass can teach us about the future of subscription businesses

Pricing is so powerful that playing with it requires great skill and precision. MoviePass should have done its price experimentation at the outset and on a local basis. It could have optimized the price points and tested alternative pricing models quietly, instead of jerking millions of customers around. Even a slight tweak — such as moving to a club pricing model like Costco’s — might have solved its cash-flow problems.

These kinds of tweaks could also have enabled the company to consider regional pricing strategies, given that its cost of goods (the full price of movie tickets, which it pays theater operators) varies from $8 in Nebraska to over $15 in New York. This case is also a good reminder that the United States has local profit pools. It is silly to think that a one-size-fits-all national strategy is the right approach for a market as ethnically and economically diverse as the United States.

MoviePass failed to recognize how the behavior of superconsumers, customers who are highly engaged with a category and a brand, differs from that of average consumers — and how, if not anticipated, this difference can create problems for a company’s cost model. It can especially be a problem if the company uses a “buffet” model of fixed price and unlimited quantities, as MoviePass did.

Quantum computers today aren’t very useful. That could change

Quantum computers are, however, far more prone to errors than binary machines. Instead of using electric signals to generate a series of zeros and ones like a conventional computer, quantum computers rely on the real-world, mechanical behavior of photons, which are packets of microwave energy. The machines require a complex, multi-layered refrigeration process that brings quantum chips to a temperature just above absolute zero. By eliminating certain particles and other potential interference, the remaining photons are used to solve computational problems. The true magic of this system is how photons can become entangled and produce different but related results. Scientists only partially understand why it works the way it does.

A quantum chip doesn’t look like much with the naked eye. Through an optical microscope, though, you can see the quantum logic gate that makes everything possible. The team here is working on a process of stringing together 16-qubit chips to execute on the 128-qubit design. Essential to this is a new kind of quantum chip that communicates results in three dimensions instead of the current two, which allows Rigetti to fit the chips together like puzzle pieces and turn them into a single, more powerful computer. “What we’re working on next is something that can be scaled and tiled indefinitely,” Bestwick said.

Why the future belongs to ‘challenge-driven leaders’

The consensus view of Mr. Marchionne, relayed by hundreds of tributes, is that he possessed an unusual blend of vision, technical expertise, analytical rigor, open-mindedness and candor. The remembrances also agreed on something else: he was a bona fide eccentric. “God bless you, Sergio,” Morgan Stanley analyst Adam Jonas told Mr. Marchionne during a January conference call. “We’re never going to see anyone like you again.”

The trajectory of great ideas

“Being right is the enemy of staying right because it leads you to forget the way the world works.” – Jason Zweig. Buddhism has a concept called beginner’s mind, which is an active openness to trying new things and studying new ideas, unburdened by past preconceptions, like a beginner would. Knowing you have a competitive advantage is often the enemy of beginner’s mind, because doing well reduces the incentive to explore other ideas, especially when those ideas conflict with your proven strategy. Which is dangerous. Being locked into a single view is fatal in an economy where reversion to the mean and competition constantly dismantles old strategies.

Survivorship bias on wheels

One last thing: When it was introduced as new in 1984, the 1985 Testarossa listed for $90,000 (but dealers charged huge premiums over list due to “Ferrari fever.”) You can still find Testarossas for that original list price — meaning the net returns over 43 years has been precisely zero — before maintenance, storage and repair costs.

As a comparison, in 1985, the benchmark S&P500 was about 200, and it closed yesterday at 2,821.93. That generated an average annual return of about 8.5%, returning 1,400% price appreciation since then, and, with dividends reinvested, over 3,000% total return (in nominal terms, like the chart above, neither is adjusted for inflation).

Selecting investments after the fact is easy; ask yourself this question: What car do you want to buy as an investment for the next 34 years to be sold in 2052?


Curated Insights 2018.08.10

Climbing the wall of worry: Disruptive innovation could add fuel to this bull market

This explanation of the flattening yield curve seemingly suggests that “this time is different,” but this time is not different in the context of disruptive innovation. During the 50 years ended 1929, the last time that three or more general purpose technology platforms were evolving simultaneously, the yield curve was inverted more than half of the time.1 The disruptive innovations of that time – the internal combustion engine, telephone, and electricity – stimulated rapid real growth at low rates of inflation. Through booms and busts in an era without the Federal Reserve and with minimal government intervention, US real GDP growth averaged 3.7% and inflation 1.1%, while short rates averaged roughly 4.8% and long rates roughly 3.8%.2 The yield curve was inverted. So, this time is not different, but investors do have to extend their time horizons to understand the impact of profound technological breakthroughs on the economy.

They all fall down

$1 invested in Disney in 1970 is now worth $197. $1 invested in the S&P 500 is worth $125, for comparison. The 19,500% return in Disney had plenty of bumps in the road. The stock lost 10% on a single day 11 times, including a 29% loss on October 19, 1987. Disney gained 11.5% for 48 years. But of course, there is a huge difference between 11.5% for 48 years and 11.5% every year for 48 years.

These returns were earned only by those able to withstand a massive amount of pain. Disney experienced 13 separate bear markets over the last 48 years, including an 86% crash during the 1973-74 bear market. The S&P 500 experienced just four over the same time.

Nobody could have known in real-time what the future held for this company, or whether its best days were behind it, but these would have been very real questions during every decline along the way. Disney hit an all-time high in January 1973, and wouldn’t see those levels again until 1986. It made a high in April 2000 and then didn’t get back there until February 2011.

Spotify’s playlist for global domination

This has been Ek’s plan all along: to get the music industry so dependent on Spotify that even the doubters can’t live without it. “We need this company to be robust,” Borchetta says of Spotify. “It’s important to the ecosystem of the whole business that they are successful.”

The Spotify team realized that they needed a mobile product that could be accessed by everyone, not just paying subscribers. And they needed it quickly. They had already been negotiating with labels about licensing rights for a free mobile version, but the deals weren’t done. Nor were engineers ready with a product. The sudden crisis sparked company-wide urgency. When the licensing deals were finally signed, in December 2013, “we literally just pushed the button on the same day to get it out there,” says Soderstrom of the new app. There was no time for rigorous testing. “If it had taken another six months, it might have been too late to recover.” The strategy worked: At the end of 2013, Spotify had 36 million users and 8 million paying subscribers; by January 2015, it announced 60 million and 15 million, respectively. Forty-two percent of time spent on Spotify was now via phones and 10% on tablets, the first time mobile listening surpassed desktop.

The new free tier has been a top priority for more than a year. It reflects how important it is for the company to keep acquiring new customers (and turn them into paying ones), but it also has its own commercial element. “Billions of people listen to radio, and most of that today isn’t monetized very efficiently,” Ek says as we chat on the couch in his Stockholm office. “Commercial radio, that’s conservatively a $50 billion industry globally. The U.S. radio industry is $17 billion, close to the size of the whole global recorded music industry, which is $23 billion. And what do people listen to? Primarily music.” Ninety percent of Spotify’s current revenues come from subscriptions, but if the free product expands, so can Spotify’s radiolike advertising business. As Ek notes, with typical understatement, “We still have a lot of room to grow.”

Ek didn’t see the value at first—”Oh, this is going to be a disaster,” he recalls thinking about one playlist innovation—but playlisting did more than increase Spotify’s consumer appeal. It turned Spotify into a user’s personal DJ. The company told investors in its prospectus, filed last February, that “we now program approximately 31% of all listening on Spotify” via playlists, which has created powerful new brands within Spotify such as Rap Caviar and ¡Viva Latino!. There are now Rap Caviar and ¡Viva Latino! concert series, pointing the way toward an even broader role for the company within the music business, where it’s generating live event and merchandising revenue without having to pay record labels.

He’s succeeded in the [music] business because he’s extremely patient and not high on his own supply, meaning he has not been susceptible to the vices that ruin people in entertainment. Ek’s personality has opened the door to a different kind of relationship with musical artists from what prevailed in the era of cocaine-snorting, thieving record execs. So far, Ek has been focused on changing how creators get paid; in streaming, an artist is compensated every time a song is played, creating lifetime revenue (albeit a fraction of a penny at a time), whereas in the old model they got paid (sometimes) after selling a CD or download. But that’s only the beginning. “Spotify’s first eight to 10 years were focused on consumers,” says R&D chief Soderstrom. “The next eight to 10 will be focused on artists.”

Spotify for Artists is the most visible example of this new directive. The service, which launched in its current form in 2016, allows musicians to access data on who is listening to their work on the platform and to personalize their presence to enhance engagement. Iconic rock band Metallica, which once helped sue Napster out of existence, used this data on tour to customize its setlists based on what local fans listen to most. Smaller artists have used it to identify where to tour, and to activate their superfans. “Whatever your genre is, you can find an audience,” says Spotify chief marketing officer Seth Farbman.

Ek has been talking a lot this year about Spotify’s mission to get 1 million artists to make a living off the platform, but he doesn’t mean there will be 1 million Lady Gagas or Bruno Marses. Financial analysts often compare Spotify to Netflix—a comparison Ek pushes back against—but Ek’s vision of the future looks more like YouTube: a meeting spot for creators and fans, in groups both large and small, and Spotify benefits when transactions happen in this “marketplace.” Ek says: “In that model, it’s almost like you’re managing an economy.”

“The major-label system was built out for the 5,000 biggest artists in the world,” Carter notes. “If we’re going to [enable] a million artists to make a living, that’s going to require an entirely different ecosystem.” In this world, “an artist might be happy making $50,000 a year, supplementing income from other work to help pay their mortgage, raise their kids, by doing what they love. I’m just as committed to that kind of artist. How do we make it so there are a lot more winners,” Carter says, “to redefine what it means to be a winner?”


The definitive timeline of Spotify’s critic-defying journey to rule music

May 2013: Spotify makes its first acquisition: Tunigo, which already helped users find, create and share new music and playlists on Spotify. Turned out to be a good one! It still underpins the company’s editorial playlist strategy to this day.

March 2014: Spotify acquires The Echo Nest, a startup that specializes in using machine learning to make recommendations and predict the type of music users will want to listen to, generating playlists from that data as well as helping advertisers reach those music fans. This also was a great acquisition! It underpins the algorithmically generated playlists such as Discover Weekly.

Is a change goin’ to come?

Last year, according to the IFPI, global revenues for recorded music (as opposed to live performance) grew 8.1 per cent to $17.3bn, driven by digital revenue’s 19.1-per-cent increase to $9.4bn. Of this digital revenue, streaming did the heavy lifting, as the $6.6bn from subscriptions and advertising constituted a 41-per-cent increase from the previous year. In what perhaps will be seen as a watershed moment, digital revenues accounted for the highest proportion of total recorded revenues for the first time ever, at 54 per cent. In nominal terms, music-industry revenues are still 32 per cent below its 1999 peak. Convert the dollars from Prince’s favourite year to today’s, and you’ll find artists, labels, publishers and the like are earning 54 per cent less than they used to.

Despite the launch of advertising channel Vevo, which Mr Morris led, musicians are still getting nickel-and-dimed by Alphabet’s platform and its competitors. Last year, video streaming accounted for a mammoth 55 per cent of all music listened to online, according to the IFPI. In turn, it only contributed 15 per cent of the revenues that Spotify and friends did.

FAANGs are more solo acts than a tech supergroup

The five biggest stocks in the S&P 500 have accounted for an average of 12.3 percent of the index since 1990, the earliest year for which numbers available. By comparison, the index’s allocation to the five FAANGs is 12.8 percent.

There are lots of surprises. First, not all FAANGs are growth stocks, as measured by historical earnings and revenue growth and predicted earnings growth. Apple, for example, scores a negative 0.1 for growth. Google’s growth score is a modest 0.4.

Second, they’re not all wildly expensive, based on stock price relative to book value, earnings, cash flow and other measures. Apple is slightly more expensive than average, with a value score of 0.05. Google and Facebook score a negative 0.45 and 0.39 for value, respectively — not cheap but far from the richest.

Third, some are higher quality than others, as measured by profitability, leverage and stability of operating results, and not in the order investors might think. Apple has a reputation for sky-high profits and reliable revenue, and yet it scores 0.15 for quality. Meanwhile, Netflix spends lavishly on programming and has negative cash flow, and its quality score is 0.63 — second only to Google’s score of 0.68.

Nor is it likely that the FAANGs will ever have much in common because their attributes are constantly changing. Apple, for example, was a much different bet five years ago, scoring high for growth and low for quality and momentum. The probability that all five stocks will be similarly situated at any given time is exceedingly low.

Elon Musk has some fun with Tesla

Now Tesla does have debt: It has three different convertible bonds, but it also has $1.8 billion of straight bonds that it issued last August to quite receptive investors. Those bonds have sold off since issuance and are rated Caa1 at Moody’s, which, again, are not auspicious signs for adding like 20 times as much debt. And my general assumption about Tesla bonds is that they operate on sort of a Netflix theory, in which bondholders get their security not from the company’s cash flows but from the knowledge that there’s a whole lot of equity value beneath them. If you issue billions more dollars of bonds to get rid of that equity, then why would anyone buy the bonds? FT Alphaville notes that the pressure of public markets, for Tesla, “surely pales in comparison to the pressure to maintain bank/ bond covenants and make interest payments.” “Even if say $40 billion could be financed in the high yield market,” note analysts at Barclays, “the annual interest bill would consume $2.7 billion in cash.”

The eight best predictors of the stock market

• The Philosophical Economics blog’s indicator is based on the percentage of household financial assets—stocks, bonds and cash—that is allocated to stocks. This proportion tends to be highest at market tops and lowest at market bottoms. According to data collected by Ned Davis Research from the Federal Reserve, this percentage currently looks to be at 56.3%, more than 10 percentage points higher than its historical average of 45.3%. At the top of the bull market in 2007, it stood at 56.8%. This metric has an R-square of 0.61.

• The Q ratio, with an R-squared of 46%. This ratio—which is calculated by dividing market value by the replacement cost of assets—was the outgrowth of research conducted by the late James Tobin, the 1981 Nobel laureate in economics.

• The price/sales ratio, with an R-squared of 44%, is calculated by dividing the S&P 500’s price by total per-share sales of its 500 component companies.

• The Buffett indicator was the next-highest, with an R-squared of 39%. This indicator, which is the ratio of the total value of equities in the U.S. to gross domestic product, is so named because Berkshire Hathaway Inc.’s Warren Buffett suggested in 2001 that is it “probably the best single measure of where valuations stand at any given moment.”

• CAPE, the cyclically adjusted price/earnings ratio, came next in the ranking, with an R-squared of 35%. This is also known as the Shiller P/E, after Robert Shiller, the Yale finance professor and 2012 Nobel laureate in economics, who made it famous in his 1990s book “Irrational Exuberance.” The CAPE is similar to the traditional P/E except the denominator is based on 10-year average inflation-adjusted earnings instead of focusing on trailing one-year earnings.

• Dividend yield, the percentage that dividends represent of the S&P 500 index, sports an R-squared of 26%.

• Traditional price/earnings ratio has an R-squared of 24%.

• Price/book ratio—calculated by dividing the S&P 500’s price by total per-share book value of its 500 component companies—has an R-squared of 21%.

It’s not terribly hard to find a measure that shows an overvalued market. Then, use a long time period to show the market has performed below average during your defined overvalued period. That’s easy. The difficulty is timing the market. For example, during the housing bubble, what I found interesting was how many people were right, that housing was indeed in a bubble. Lots of people realized it. Also, lots of people thought it would burst in 2004. Then in 2005. Then in 2006. They were right, but their timing was way off. Even if you know the market is overpriced, that doesn’t tell you much about how to invest today.


Hot chart: The A-D Line is roaring higher

You have two options as an investor: you could listen to the media or you could listen to the market. They’ve been pushing the notion lately that only a handful of Tech stocks are leading the way for the market, suggesting a weakening breadth environment. In the real world, however, we are participating in a united rally among Tech stocks as a group.

In fact, the Equally-Weighted Technology Index went out just 0.4% away from another all-time weekly closing high, just shy of it’s record high set last month. This is the Equally-Weighted Index, not the Cap-weighted index that the bears are suggesting is pointing to weakening breadth because the big names are such a large portion. If it was true that only a handful of names are going up and market breadth is deteriorating, the Equally-weighted index, which takes the extra-large market capitalization stocks completely out of the equation, would not be behaving this way.

So when someone tells you that breadth is weakening and only a handful of names are driving the market’s gains, you know they haven’t done the work themselves. They’re just regurgitating what they read or overhead somewhere, which happens a lot.

Natural maniacs

A problem happens when you think someone is brilliantly different but not well-behaved, when in fact they’re not well-behaved because they’re brilliantly different. That’s not an excuse to be a jerk, or worse, because you’re smart. But no one should be shocked when people who think about the world in unique ways you like also think about the world in unique ways you don’t like.

There is a thin line between bold and reckless, and you only know which is which with hindsight. And the reason there’s a difference between getting rich and staying rich is because the same traits needed to become rich, like swinging for the fences and optimism, are different from the traits needed to stay rich, like room for error and paranoia. Same thing with personalities and management styles.

“You gotta challenge all assumptions. If you don’t, what is doctrine on day one becomes dogma forever after,” John Boyd once said.

These maxims are always true

In 1962, Warren Buffett began buying stock in Berkshire Hathaway after noticing a pattern in the price direction of its stock whenever the company closed a mill. Eventually, Buffett acknowledged that the textile business was waning and the company’s financial situation was not going to improve. In 1964, Stanton made an oral tender offer of $11​1⁄2 per share for the company to buy back Buffett’s shares. Buffett agreed to the deal. A few weeks later, Warren Buffett received the tender offer in writing, but the tender offer was for only $11​3⁄8. Buffett later admitted that this lower, undercutting offer made him angry.[12] Instead of selling at the slightly lower price, Buffett decided to buy more of the stock to take control of the company and fire Stanton (which he did). However, this put Buffett in a situation where he was now majority owner of a textile business that was failing.

Being stubborn can cost you money. Buffett has talked about that at length over the years. But what is interesting is Buffett operated Berkshire from 1962 to 1985 and made millions of dollars without doing any publicity. No mass media. No hype. Can you imagine that today?

You know what gets you more customers? Execution. Delighting them. Focusing on them.

Scorched earth: the world battles extreme weather

Lloyds, the London-based insurance market, estimates that as much as $123bn in global gross domestic product in cities could be at risk from the impact of a warming planet, including windstorms and floods.

Meanwhile a 2015 study by the journal Nature found that due to climate change, global incomes were likely to be one-fifth lower in 2100 than they would be with a stable climate. And later this year the UN will issue a landmark report that quantifies the impact of 1.5C of warming, compared with 2C. Leaked copies suggest that the world will pass the 1.5-degree warming target by about 2040.

Curated Insights 2018.07.27

 

The oral history of travel’s greatest acquisition Booking.com

We ranked Priceline’s acquisition of Bookings B.V. alone — even when excluding the Active Hotels transaction — as the fifth greatest deal in Internet history, surpassing Google-DoubleClick and Amazon-Zappos in terms of value creation. Priceline’s Active-Bookings acquisitions transformed a travel brand that was running out of capital resources and international expansion options for its Name Your Own Price business. It opened up global opportunities in hotel bookings where Booking.com disclosed the room rates in advance instead of cloaking them in a relatively complicated bidding process.

Geert-Jan: I had very little knowledge about the hotel industry. I was a night porter in a hotel as a student. It gave me some inspiration and at least I knew how the reservation process went because we had people who came in at night who hadn’t booked so they came in for a reservation. I had no clue about commission rates; that’s why I started with 5 percent. To me, it sounded very logical that hotels themselves should know the best room rate they can charge at any time. From the beginning, it was the hotel that decided what the rate should be on the website.

Active Hotels in the UK and Bookings.nl in the Netherlands launched separately using the agency, or pay-at-the-hotel, business model while large U.S.-headquartered companies such as Expedia, Hotels.com, and Priceline.com were having various levels of success in Europe. These major online travel agencies focused on big hotel chains, which weren’t as important in Europe. Expedia and Hotels.com were enamored with the higher-commission merchant model, which required travelers to pre-pay for their hotel stays, and that just wasn’t the way things were done in Europe. Priceline.com was trying its Name Your Own Price bidding model in the UK and elsewhere internationally, and it wasn’t getting traction outside the United States.

Bookings.nl merged with the UK’s Bookings Online in 2000. In 2002, Barry Diller’s USA InterActive/IAC acquired Expedia, and came close to buying Geert-Jan Bruinsma’s Bookings.nl in Amsterdam. Separately, in 2003, IAC/Expedia signed a non-disclosure agreement with the UK’s Active Hotels, but a deal never materialized. Together, these decisions may have arguably amounted to the biggest missed opportunity in online travel history.

In July 2005, Priceline.com acquired Bookings B.V. for $133 million. Although the joint operation and merged companies — Active Hotels and Bookings — would eventually take the name Booking.com, it is interesting to note that Priceline paid more for Active Hotels, buying it in 2004 for $161 million, than it did for Bookings. Now the focus became to integrate the two companies, which at that time had 18,000 properties combined, the largest inventory among online players in Europe. In the grand scheme of things, the integration went remarkably well, although it was at times a tough marriage between Active and Bookings. There were cultural differences and clashes among the teams; most of the Active Hotels leadership left after a year or two. In both deals, management reinvested a portion of the acquisition proceeds back into their respective businesses.


Where to go after product-market fit: An interview with Marc Andreessen

So winning the market is the big thing. The thing that is so essential that people need to understand is that the world is a really big place. The good news is that markets are bigger than ever. There are more consumers on the internet than ever before. There are more businesses that use software than ever before.

Number two is getting to the next product. We are in a product cycle business. Which is to say that every product in tech becomes obsolete, and they become obsolete pretty quickly. If all you do is take your current product to market and win the market, and you don’t do anything else — if you don’t keep innovating — your product will go stale. And somebody will come out with a better product and displace you.

If you do take the market, you tend to have the financial resources to be able to invest heavily in R&D. And you also develop M&A currency, so you can then go buy the second product if you have to. It gives you another option to get to the second product.

The general model for successful tech companies, contrary to myth and legend, is that they become distribution-centric rather than product-centric. They become a distribution channel, so they can get to the world. And then they put many new products through that distribution channel. One of the things that’s most frustrating for a startup is that it will sometimes have a better product but get beaten by a company that has a better distribution channel. In the history of the tech industry, that’s actually been a more common pattern.

But then the third thing you need to do is what I call “everything else,” which is building the company around the product and the distribution engine. That means becoming competent at finance, HR, legal, marketing, PR, investor relations, and recruiting. That’s the stuff that’s the easiest to put to one side — for a little while. If you’ve got a killer product and a great sales engine, you can put that other stuff aside for a while. But the longer you put that stuff aside, the more risk that you develop and the more you expose yourself to catastrophic failure through self-inflicted wounds.

And so at some point, if the early guys don’t get to the other 95% of the market, somebody else is going to go take it away. And whoever has 95% of the market, number one they’re going to get all the value. All the investment returns, all the employee compensation flows to that company. And then number two, that company then accretes resources so they can work backward. In a lot of cases, they end up buying the company that got the early adopters for a small percentage of their equity, and then they just take the whole thing.

One interesting question I have is: Would you rather have another two years’ lead on product, or a two years’ lead on having a state-of-the-art growth effort?

First of all, raising prices is a great way to flesh out whether you actually do have a moat. If you do have a moat, the customers will still buy, because they have to. The definition of a moat is the ability to charge more. And so number one, it’s just a good way to flesh out that topic and really expose it to sunlight. And then number two, companies that charge more can better fund both their distribution efforts and their ongoing R&D efforts. Charging more is a key lever to be able to grow. And the companies that charge more therefore tend to grow faster.

Consumer startups are dead. Long live consumer startups.

The unicorns of the 2013 and 2104 vintages of consumer companies should have matured already, and the number of consumer unicorns won’t change substantially even if we wait several more years. Enough time has passed for hit enterprise startups from 2013 and 2014 to break out, making those vintages mature.

It starts first and foremost with the network effects that the Empire has that translated so well to the smartphone. The world has seen dominant consumer companies before — from Walmart to Disney to Nike to AOL — but never consumer companies that had this ability to connect all their mobile users together for the benefit of the entire ecosystem. More Snapchat users leads to better content shared and choices for people to instantly communicate with (direct network effect). More Apple iPhone users leads to better network infrastructure like 4G that improves the mobile experience (indirect network effect). More Uber drivers leads to cheaper and faster rides for passengers (two sided network effect). And so forth. The Empire grows stronger with every like, share, click, ride, pin, post, watch, buy, publish, and subscribe.

Next, every consumer company obviously needs consumers to be successful, and the Empire has unparalleled distribution advantages. Facebook and Google’s distribution power is obvious and it’s no coincidence that those two companies have 11 products between them that each have more than 1 billion monthly active users. But Netflix and Amazon also have tremendous distribution advantages. Netflix retains their subscribers better than anyone in the business — less than 1% cancel each month, which is about 5 times better than other video subscription services. That allows them to spend more for each subscriber (about $100) than other services because subscribers will stick around longer to payback that marketing expense. Amazon has launched 100 private label brands and grown them quickly because they can redirect shopping traffic towards their own products. For example, Amazon’s private label isn’t just the preferred option when purchasing batteries through Alexa; it’s the only option. So perhaps not as obvious as Facebook and Google, Netflix and Amazon’s distribution powers are just as potent.

Finally, it takes world class product and engineering talent to build great consumer products and the Empire has amassed one of the largest and most talented army of builders in the world. Amazon is the single largest spender in the entire country on research and development at $22.6 billion dollars last year. Apple, Google, and Facebook aren’t far behind as all three rank in the Top 10. And not only is the Empire army the biggest on the field, they are also given unique insights and capabilities that no one else has. For example, Apple iOS application engineers can utilize features of the platform (known as private APIs) that other mobile developers are not allowed to use in their apps.

Google CEO Sundar Pichai revealed a jaw-dropping fact about its translation app that shows how much money is still sitting on the table

The app translates a staggering 143 billion words every day, Pichai said. And, he added, it got a big boost during this summer’s World Cup soccer tournament.

Given that a lot of people most likely use the translation app while traveling, it’s not a stretch to imagine ads for local hotels, restaurants, and other traveler-oriented attractions. Even if a Google Translate user isn’t traveling, the app could offer pitches for travel guides and language schools. And as Google continues to enhance the translation app with new features, the business opportunities are likely to expand. There could even be potential for an enterprise business opportunity, by allowing other companies to leverage the technology into their products.


The future of media

In 2018 alone, Netflix CEO Reed Hastings said Netflix will spend over $10 billion on new content, release 80 new films, and premier an astonishing 700 new television shows. For context, the top six movie studios released 75 movies in 2017—combined. From a customer’s point of view, this an unprecedented value proposition: For the price of two lattes per month, you gain access to some of highest-rated and most-watched television shows and movies on the planet. From the industry perspective, this is what drives studio executives and networks insane: Netflix uses its war chest of capital to buy and finance new projects, often out-bidding other buyers of content and acquiring international rights.

By owning the direct relationship between customer and content, Netflix and the other subscription-based streamers have an incredible advantage. In any business, customers go to the providers with the best value proposition—and right now, over-the-top (OTT) streaming has the best value. Netflix wouldn’t dare sully the viewing experience with clunky, annoying advertisements. And because of their subscriber-based business model, they don’t have to.

In 2019, for instance, Disney plans to launch its own direct-to-consumer subscription service. Time will tell if this will work, but it’s our view that it’s too little too late. Yes, Disney holds the keys to lucrative properties within Pixar, Marvel, LucasFilm, etc. And launching the service with a Star Wars movie or television show will certain get some traction. But by 2019, that “distribution ship” will likely have already sailed. Netflix and Amazon will have hundreds of millions in combined viewers, and Disney will be starting from scratch. While the Mouse House may certainly find a core audience hungry for their content, its own subscription service may not justify itself—and it would not be shocking to find Disney looking for a distribution partner in someone like Amazon, who will already has over 100 million Prime subscribers.

Airbnb offers investors a unique stay

Airbnb was conceptualized in August 2007 as an alternative to hotel lodging. We calculate it is now the largest player in the $150 billion alternative accommodation booking market with a high teens share, up from about 4% in 2014. We estimate that roughly half of the market’s bookings occur online, with Airbnb holding around 35% online share today versus about 10% in 2014.

We believe a premium is warranted based on several attractive features Airbnb offers investors, including (1) a powerful and rare network advantage that should drive continued share gains in a rapidly growing alternative accommodation market; (2) an opportunity to expand its network and addressable market into hotel, experiences, corporate, and transportation; and (3) strong profitability prospects driven by high consumer awareness, allowing the company to leverage top-line growth. We believe Airbnb’s IPO should be on the radar screens for investors seeking exposure to a company positioned to gain share in the nearly $700 billion global online travel market, which we estimate will grow 9.4% annually on average over the next five years.

We estimate that Booking Holdings is already second behind Airbnb in the private accommodation market, having expanded its online share to roughly 20% last year from the midteens in 2015 driven by industry-leading supply and demand ((over 5 million alternative accommodation listings and around 450 million monthly visitors). We expect Booking to continue to see share gains at the expense of smaller competitors as it invests further in its non-hotel network with the goal to become the leader in the market. We estimate that its alternative accommodation booking growth rate can begin to eclipse Airbnb’s in 2020, as Booking’s investments and powerful network advantage take hold.

We think Airbnb can gain traction in the corporate booking market, which we estimate at around $1.1 trillion, as its partnerships and initiatives reduce the back-office and safety concerns of many global firms, aiding its network advantage and growth opportunity. The company has announced several major partnerships in the past few years.

The global air and ground transportation markets are large at around $600 billion and $100 billion, respectively, but the consolidation and efficiency of the industry offers only low-single-digit take rates (compared with teens and 20% for lodging and experiences, respectively). We wouldn’t expect transportation attached rates on Airbnb lodging bookings to be more than a single-digit level, since the company can’t offer any differentiated experience. Also, travelers love to shop around for the best deal, especially in a commoditized environment like transportation. We expect just 1%-2% of Airbnb’s total revenue to come from the segment in 2022, following an anticipated launch into these markets in 2019.


EBay paid $573M to buy Japanese e-commerce platform Qoo10, filing reveals

The acquisition of Qoo10 underscores how eBay is at the same time pulling back from general plays while doubling down on more targeted opportunities. Earlier this year, the company gave up its stake in Flipkart as part of its acquisition by Walmart, but at the same time committed to investing in a new, standalone eBay operation in India, using some of the $1.1 billion in proceeds it made from selling its Flipkart stake to Walmart.

But eBay isn’t going to go head-to-head with those two. Instead, its India operations will focus on cross-border sales, so essentially looking to connect buyers and sellers in the country with opportunities overseas within its network. That’s the same model it has used to effect in other parts of the world, so its acquisition of Qoo10 and its other international services will be a key part of that India strategy, and vice versa.


How e-commerce is transforming rural China | The New Yorker

Establishing this reputation has required JD to adopt a strategy radically different from that of its greatest rival, Alibaba, which is essentially the eBay of China—a platform connecting customers to a vast network of third-party sellers. Although there are an increasing number of third-party sellers on JD’s site, the core of its business, like Amazon’s, involves managing the entire supply chain. It buys from manufacturers, stocks inventory in warehouses, and invests billions of dollars in development, including a kind of in-house FedEx, called JD Logistics. There are now nearly eighty-five thousand delivery personnel like Xia, and several thousand depots, from large hubs to tiny outlets like the one in Xinhuang. “The couriers are the faces of JD,” Liu said. “They come to your home. You have to trust them.” The success of this network, combined with the notorious unreliability of the Chinese postal service, means that JD Logistics is now itself a product—a service that other e-commerce players pay to use.

Chen explained that JD’s burgeoning focus on luxury was a consequence not only of the rise of a moneyed middle class but also of the middle class’s relative youth. Buyers of big-ticket items are five to ten years younger than their Western counterparts. “Most of them experience, and learn about, luxury brands over the phone,” she said. “So digital becomes increasingly important.”


Is JD.com the future of Chinese e-commerce?

When breaking down the costs to fulfill an order from the warehouse to the customer’s front door, about 30-35% of costs go to warehousing, another 20-25% to transporting products from the warehouse to local delivery hubs, and 40-45% to last-mile delivery, which is mostly human labor costs and transportation costs. However, this cost structure is mostly indicative of urban, densely populated regions that have large fulfillment centers and dedicated last-mile delivery staffs. Most rural cities are quite different in that they don’t have sophisticated layers of network infrastructure. For example, large fulfillment centers are replaced by small delivery depots or mom-and-pop shops acting as pick-up centers. Since most consumers pick up their packages at these centralized locations, large last-mile delivery staffs are not required. It’s hard to say if drones would result in cutting logistics costs 70% on its own, but overall the fulfillment process could achieve significant savings.

JD has always approached its business from a customer’s perspective, utilizing an integrated retail and logistics model to provide a superior experience. In JD’s early days, 70% of customer complaints involved delivery service, since China’s logistics infrastructure was essentially nonexistent. To solve this issue, JD founder Richard Liu decided to take operations in-house, recognizing this would be a critical differentiator in providing the best customer experience. JD now delivers 90%+ of direct retail orders within 24 hours, an unfathomable achievement in markets outside of China. But as other businesses eventually catch up, the question turns to where future differentiation will lie.

By integrating deeper into the supply side, JD can continue to structurally lower its cost of goods and average selling prices. While Alibaba can spur competition between merchants, lowering their gross margins in the meantime, the fragmented nature of the supply side means there isn’t structural pressure to the cost of goods side of Alibaba’s model, meaning prices can only fall so much. As JD’s lowers prices, receives inventory on more of a “just-in-time” basis, it will turn inventory quicker meaning it can lower prices even more.

The incredible rise of Pinduoduo, China’s newest force in e-commerce

Pinduoduo’s C2B model allows it to ship directly from the manufacturers eliminates layers of distributors, not only reduces the price tag for buyers but also raises the profit of manufacturers. This approach is particularly effective for the sales of perishable agricultural and fresh products, where the speed for matching supply and demand is critical.

Lesser-known brands were chosen over famous brands to erase any premium that comes from branding. Additionally, the costs for advertising and marketing are also lowered through user sharing to social media. The approach is both cost-saving and effective. Through social sharing, users are sending the product information precisely to friends and groups that may have similar income and consumption preferences. Viral marketing is a more clever way to build the identity of all the lesser-known brands on its platform. Financially, the platform could even out part of discounts with less marketing budgets.

 

BlackRock ready to spread its web across Europe

Having started as part of private equity company Blackstone 30 years ago, BlackRock is the world’s largest money manager with 70 offices globally. It manages $6.3tn assets on behalf of clients in 100 countries.

Europe, the Middle East and Africa accounts for 28 per cent of its total assets under management. The region’s 3,800 staff make up 27 per cent of its global workforce while the $4.1bn of revenue from Emea was 30 per cent of BlackRock’s total last year.

BlackRock has built connections with financial adviser networks tied to banks and insurers and believes it can offer complementary products. Domestic financial institutions do not see it as a significant threat when compared with local rivals.

ARK Disrupt Issue 134: eSports, AI, crypto, fintech, balloons, & CRISPR

Twitch’s viewership in June approached 800 million hours, or 9 billion hours at an annual run-rate. How much could 9 billion hours of viewership be worth? A lot!

NFL broadcast rights provide some good perspective. The NFL enjoys roughly 6 billion in hours viewed annually,1 and in 2013 it sold nine years of broadcast rights for roughly $40 billion.2 We expect Twitch’s viewership to be double that of the NFL by next January and to double again within our five-year investment time horizon. What would broadcasters pay for the perpetual rights to four NFLs, especially if they didn’t have to ship crews and cameras all over the country and could monetize the content more efficiently?

Video game streaming is linked to monetization in a way not possible for traditional sports. Viewers pay subscriptions and sometimes tip individual streamers—from which Twitch extracts a platform fee—and, in real time, streamers can thank their viewers for contributions. On their channels, streamers often interact with viewers, sometimes taking direction from them. With stronger social and economic network effects, Twitch’s engagement and monetization should be able to top that of traditional broadcast channels.

While Google has said that Loon should be able to deliver internet service for $5 per month per user, ARK estimates that it could offer even lower prices, say $4 per month. At that rate, if Loon were able to deliver internet access today to everyone in the world with enough income to afford it, its subscription revenue could approach $130 billion, roughly equivalent to estimates for Alphabet’s total sales in 2019.3 More realistically, Loon will share this market with other forms of internet delivery, such as low earth orbit satellites, but Alphabet’s opportunity is vast nonetheless.

DAU/MAU is an important metric to measure engagement, but here’s where it fails

If your product is a high-frequency, high-retention product that’s ultimately going to be ads supported, DAU/MAU should be your guiding light. But if you can monetize well, develop network effects, or quite frankly, your natural cadence isn’t going to be high – then just measure something else! It’s impossible to battle nature… just find the right metric for you that’s telling you that your product is providing value to your users.

Retailers ubiquitously choose Instagram over Snapchat. Nearly all retailers tracked in Gartner L2’s Digital IQ Index: Specialty Retail air Instagram Stories; in contrast, only 4% were active on Snapchat during the study period.

Restaurants must embrace online delivery, and fast

Just 1.6 percent of all restaurant industry transactions in 2017 were conducted online for delivery, according to a report by Cowen Inc. restaurant industry analyst Andrew Charles. The same analysis estimates that online delivery accounted for $19.7 billion in gross merchandise volume, or 3.7 percent, of U.S. restaurant sales in 2017. That’s roughly in line with the proportion of retail sales that had moved online by 2008. And we all know how different the mall landscape is now compared to 10 years ago.

And restaurants may even find themselves wanting to change their menus. Uber Eats has been using its data to help local restaurants launch delivery-only menus. In Chicago, it found people were searching for suddenly popular Hawaiian poke, but there weren’t many options. So Uber Eats reached out to neighborhood sushi spots, which would already have some of the same ingredients, and asked them to try making the dish for the app. Imagine how transformative those kinds of insights could be if applied at the scale of a chain restaurant.

Delicious new protein source, starting with a salmon burger: Terramino Foods

Animal farming takes up over 70% of the planet’s agricultural land, and 70% of the world’s available freshwater and energy consumption. Animal production consumes more than 1/3 of raw materials and fossil fuels in the US. It is responsible for 18% of the total release of greenhouse gases , 9% of global CO2, 80% of ammonia emissions in the U.S. come from animal waste.

Globally, fish account for approximately 4 of every 10lbs of animal products consumed. To meet the growing demand, 90% of global fish stocks are overfished. Global fisheries are expected to collapse by 2048. And there is growing risk in human health with high levels of mercury, PCBs, dioxins and other health containments.

But unlike chicken, pork and beef alternatives becoming more available, seafood alternatives are virtually non-existent. Alternative seafood options are very limited even at Whole Foods, and the taste and quality for these select products are subpar. We’ve realized there’s a gaping hole in alternative seafoods.

Escalating the US trade war is not in China’s interest. Reform is what it must do

The economic significance of the tariffs has been hugely exaggerated: 25 per cent on US$34 billion is an extra US$8.5 billion. China’s exports are likely to top US$2.4 trillion in 2018. The tariff impact is therefore symbolic. Even the 10 per cent tariff on US$200 billion only amounts to an additional US$20 billion. The numbers are not big, in relative terms.

The tariffs shouldn’t significantly affect China’s competitiveness. China’s labour cost is less than one-fifth of the OECD level. Adding 10 or 25 per cent to it won’t affect China’s competitive position relative to the US or other developed economies. While some production could relocate to other emerging economies, they just don’t have the scale to take over significant value chains from China.

The best option is to reform now and appreciate the currency later. The current trade dispute could be used as a catalyst to initiate reforms. If others complain that China’s industrial policy contains excessive government subsidies, why not scale them back and rely more on the market to create business and advance innovation? What have the subsidies done for the economy so far? After pouring in tens of billions of dollars, has China produced one significant innovation? The chances are that the market can do better.

Why we need to update financial reporting for the digital era

Digital companies, however, consider scientists’ and software workers’ and product development teams’ time to be the company’s most valuable resource. They believe that they can always raise financial capital to meet their funding shortfall or use company stock or options to pay for acquisitions and employee wages. The CEO’s principal aim therefore is not necessarily to judiciously allocate financial capital but to allocate precious scientific and human resources to the most promising projects and to pull back and redeploy those resources in a timely manner when the prospects of specific projects dim.

Digital companies, in contrast, chase risky projects that have lottery-like payoffs. An idea with uncertain prospects but with at least some conceivable chance of reaching a billion dollars in revenue is considered far more valuable than a project with net present value of few hundred million dollars but no chance of massive upside.

As firms become increasingly difficult to value and more and more companies report negative earnings, analysts perform multiple adjustments to recreate companies’ financials in their internal assessments. For example, they capitalize a part of R&D expenditures that can enhance firm’s future competitive ability and deduct a part of capital investments that merely maintain firms’ competitive ability. This is an outcome of the growing divergence between what companies consider as value-creating metrics and those reported as profits in the GAAP.

For instance, standard-setters might want to encourage disclosures related to (i) value per customer; (ii) earnings or revenue outcomes or other specific metrics related to specific projects in progress; and (iii) data on how the R&D and software talent of digital firms is being deployed. Relying on firms’ voluntary initiatives is unlikely to work because executives told us time and again that they will not disclose sensitive information, unless their competition is forced to do the same.

A whiff of rotten eggs may augur an oil shock

For years, cargo ships have been powered by about 4 million barrels a day of the dirtiest, bottom-of-the-barrel fraction of crude, a tarry substance known as bunker fuel or residual fuel oil. That’s set to change in less than 18 months, after the International Maritime Organization adopted rules that would keep the sulfur content of the bunker fuel on standard ships below 0.5 percent from Jan. 1, 2020.

The likelier outcome is that refiners will blend each barrel with about three of lower-sulfur fractions — principally gasoil or middle distillate, essentially the same stuff as automotive diesel — to get the proportion down from 2015’s average of 2.45 percent. But that, of course, will require an additional 2 million barrels a day or so of lower-sulfur fuel, and it’s not clear that the world’s refiners can shift so fast.

That, and the widening discount of January 2020 fuel oil over Brent, gives weight to a more pessimistic analysis: Shortages in the heaviest fractions of the barrel will drive up the prices of gasoil, jet fuel and gasoline, boosting the cost of crude itself until the market rebalances.

Curated Insights 2018.07.20

Professor Aswath Damodaran on valuation

The most egregious valuation mistake that I see investment professionals make is mistaking pricing for valuation. Most investment professionals don’t do valuation, they do pricing. What I mean by that is that you price a number to a stock based on what other people are paying for similar stocks. Any time you use a multiple comparable you’re not valuing the company, you’re pricing a company. Ninety percent of the time, when someone says “I’ve valued a company at X”, I always have to stop and ask them, “What do you mean value the company?”. Most of the time when I extract the answer, the answer is that they’ve really priced the company. There’s nothing wrong with pricing. But it’s not valuation. Valuation is about digging through a business, understanding the business, understanding its cash flows, growth, and risk, and then trying to attach a number to a business based on its value as a business. Most people don’t do that. It’s not their job. They price companies. So the biggest mistake in valuation is mistaking pricing for valuation.

The biggest mistake is that VCs don’t value users, they price them. What I mean by that is that if there’s a line of VCs and you go up to a VC and say “I have a million users”, the VC says “Amazing, I’ll pay you $1 Billion”. Most VC’s are still pricing users, with the assumption that all users have value, and that all their data is going to be useful. And I think that’s a dangerous thing. The reason I wrote that paper is to illustrate that users can be valuable, but users can be useless. Moviepass users are useless – there are a lot of them, but I don’t think the marginal Moviepass user adds any value. In fact, I think that they destroy value, because you’re giving them a service for way below cost. Netflix users, are clearly much more valuable as a commodity. I think that we have to differentiate between users, and to do that we have to start asking serious questions about what separates good users from bad users, what separates valuable users from useless users.

Well it’s massively impacted prices. It’s going to mean that there’s going to be a lot more splitting up of the market, like with Uber and Didi in China, and with Uber and Grab’s agreement in Southeast Asia. I think increasingly that the ridesharing companies think that the future lies in each of them carving out markets for themselves where they don’t face competition. Softbank incentivizes that by being invested in all of these companies. Uber, Lyft, and Grab fares will start to go up, and you can thank Softbank for that. They’re the ones in the background impacting how this business is evolving.

It’s a feature not a bug. It’s the nature of young companies and young markets, that you will overvalue them, because you’re looking at clusters of what I call overoptimism. Each cluster, be it the VCs and employees of a company think that they have the answers to the big questions. It’s how markets evolve, and I think that it’s a healthy process. I think that bubbles are not always bad, because they’re what allow us to change and move on. So I think that you can look at bubbles as a bad thing and try to make them go away, but I think that they’re a good feature of markets and allow us to shift from one business to another, from one technology to another.


How internet advertising can grow to $600 billion by 2023

While digital direct response advertising took share from print in the first leg of internet, digital video advertising could take share from TV in the second leg. What would be the impact on budgets of sustained strong growth in internet advertising? If you assume compounded growth rates of 15% for Google, 20% for Facebook, 20% for China, and 12% for everyone else, internet advertising would reach $620 billion by 2023—a figure that’s larger than the entire global advertising market today.

One might say that that is sufficient proof that internet advertising must slow down less it exceeds its total addressable market. But it’s just as dangerous to assume that the size of advertising market is a static number or a fixed percent of global GDP.

Amazon in particular has potential to contribute out-sized growth. Already roughly half of US consumers start their product search on Amazon, bypassing Google’s most important search ads. These shoppers see Amazon’s sponsored product ads which are highly valuable and result in direct measurement of sales. Amazon’s $3 billion ad business is growing quickly and could dampen Google’s search business in the coming years.

Analysts and investors have historically underestimated the size of the internet advertising market and continue to do so based on a static set of assumptions. Yet, more than any other medium, internet advertising has evolved and re-invented itself constantly. The drivers of growth today – mobile, video, and programmatic – barely existed ten years ago. There’s no telling what the next ten years might bring.


Texas to pass Iraq and Iran as world’s No. 3 oil powerhouse

Texas is pumping so much oil that it will surpass OPEC members Iran and Iraq next year, HSBC predicted in a recent report. If it were a country, Texas would be the world’s No. 3 oil producer, behind only Russia and Saudi Arabia, the investment bank said.

The combined output of the Permian and Eagle Ford is expected to rise from just 2.5 million barrels per day in 2014 to 5.6 million barrels per day in 2019, according to HSBC. That means Texas will account for more than half of America’s total oil production. By comparison, Iraq’s daily production is seen at about 4.8 million barrels, while Iran is projected to pump 3 million. Oil supplies from Iran are likely to plunge due to tough sanctions from the United States.


Beijing did a tech reality check on its industrial champions. The results were not amazing

The ministry questioned the companies about 130 “core components and materials”, finding them reliant on imports for 95 per cent of central processing unit and CPU-related chips for their computers and servers. The companies also depended on foreign suppliers for 95 per cent of the advanced manufacturing and testing components on production lines for various sectors, including rockets, large aircraft and even cars, according to the report published on Friday. About a third of the “key materials” covered by the survey were not available in China, the state news agency reported, without detailing the items covered or when the survey was conducted.

Google fined a record $5 billion by the EU for Android antitrust violations

While many had expected Google to face its own “Microsoft moment,” the EU doesn’t seem to be forcing any strong future oversight on Android or asking Google to modify its software to include a ballot for alternative browsers or search engines.

This decision seems to be more about preventing Google from bundling its services to Android, than forcing the company to change Android significantly. Phone manufacturers will still be free to bundle Chrome and Google search apps if they wish, but they won’t be forced to do so, and they’ll be free to offer devices with forked versions of Android.

Amazon’s share of the US e-commerce market is now 49%, or 5% of all retail spend

The figures are also remarkable not because of their size, but because of Amazon’s pace has not slowed down. Its sales are up 29.2 percent versus a year ago, when it commanded 43 percent of all e-commerce retail sales.

The rocket ship for Amazon’s growth at the moment is its Marketplace — the platform where Amazon allows third-party sellers to use its retail and (if they choose) logistics infrastructure to sell and deliver items to Amazon shoppers. It’s currently accounting for 68 percent of all retail sales, working out to nearly $176 billion, versus 32 percent for Amazon’s direct sales, and eMarketer projects that by the end of this year, Marketplace’s share will be more than double that of Amazon’s own sales (it’s already about double).


Amazon set for Prime Day ad revenue bonanza

The need to advertise to cut through the crowd on Prime Day underscores the growing contribution of advertising to Amazon’s business. While its Amazon’s core retail operations generate the majority of its revenue, executives and analysts see advertising as a promising growth area. Its “other” revenue segment, mostly derived from advertising, more than doubled to $2bn in the first quarter and the company flagged the high-margin business as “a strong contributor to profitability”.

Amazon’s slice of the $100bn US digital ad market is still very small: 2.7 per cent, or fifth place, this year compared with Google’s 37.2 per cent and Facebook’s 19.6 per cent, according to eMarketer. Its share is expected to reach 4.5 per cent by 2020, passing Microsoft and Verizon’s Oath to climb to third place, while Google and Facebook are predicted to lose ground.


Mark Mahaney, analyst at RBC Capital Markets, estimates that by 2022 Amazon’s ad revenues will top $25bn and generate more than $8bn in incremental operating profit, making the business “as impactful” to the company as Amazon Web Services, its cloud computing business, is today.

Travel giant Booking invests $500M in Chinese ride-hailing firm Didi Chuxing

Besides Booking.com and Agoda, Booking also operates Kayak, Priceline.com, Rentacars.com and OpenTable, all of which makes it a powerful ally for Didi. That’s particularly important since the Chinese firm is in global expansion mode, having launched services in Mexico, Australia and Taiwan this year. Beyond those three, it acquired local ride-hailing company 99 in Brazil and announced plans to roll into Japan.

Beyond boosting a brand and consumer touchpoints, linking up with travel companies makes sense as ride-hailing goes from simply ride-hailing to become a de facto platform for travel between both longer haul (flights) and short distance (public transport) trips. That explains why Didi has doubled down on dock-less bikes and other transportation modes.

Reuters reports that the unit, which was formed in April and consists of Didi’s car rental, sales, maintenance, sharing and gas services businesses, could be spun out in a deal worth $1.5 billion. The thinking is apparently that Didi’s IPO, which is said to be in the planning stages, would run smoother without these asset-heavy businesses involved.


Spotify’s new tool helps artists and labels reach its playlist editors

The company says that, today, more than 75,000 artists are featured on its editorial playlists every week, plus another 150,000 on its flagship playlist, Discover Weekly.

These days, artists and labels ask for intros to playlists editors, believing that getting to the right person will give them an edge in having their tracks selected for a playlist. The new submissions feature aims to change this process, while also driving artists and labels to use Spotify’s own software for managing profiles and tracking their stats on the service.

We want to make something crystal clear: no one can pay to be added to one of Spotify’s editorial playlists. Our editors pick tracks with listeners in mind. They make these decisions using data about what’s resonating most with their community of listeners.

What are cobots? Understanding the newest wave of smart robot reinventing whole industries

Now, incumbents are playing catch-up against Teradyne’s cobot division Universal Robots (UR), which currently claims around 60% of the cobot marketshare. Big names like ABB, Fanuc, Yaskawa, KUKA, and Robert Bosch, which are all better known for their low-tech robots, have followed UR into the cobot market. (It’s estimated that Fanuc has between 6% and 10% of cobot market share, and Yaskawa’s is even smaller.) And partnerships are springing up: Kawasaki is now working with its Swiss rival ABB to standardize robotic programming.

One big reason could be labor costs rising worldwide. Because of economic growth, wages in industrialized countries have soared. In China, for example, average wages have more than doubled since 2006, and the country is no longer considered a destination for low-cost outsourcing. In fact, China is now so expensive that it’s losing consumer electronics jobs to lower-cost neighbors like Vietnam, pushing its robot demand to grow more than 20% just last year.

Expensive labor is also tilting the scale for more localized manufacturing, and robotics are enabling a new wave of re-shoring (the return of manufacturing to the United States). In a 2015 survey by BCG, 20% of US-based manufacturers surveyed said they were actively shifting production back to the US from China, or were planning to do so over the next two years. The majority said lower automation costs have made the US more competitive.

Subsequently, firms are increasingly turning to cobots, which these days are easily programmable, cheaper than traditional labor, and even inexpensive compared to “dumb” robots. For all of these reasons, cobot makers are selling more units at lower prices than ever before.

How has the average US house size changed?

Over the past 95 years, average [residential home] floor area has increased from 1048 square feet to 2657 square feet, which equates to a 2.5x increase. Furthermore, the average floor area per person has more than quadrupled, from 242 square feet to 1046! Essentially, it’s likely that one person nowadays has the same amount of space as a family back in the 1920s.

Curated Insights 2018.07.13

Confessions of a digital dinosaur: Esports is the next great traditional sport

Esports is becoming the next great traditional sport because more young people are regularly playing and watching them than any other sport. For young people esports has a tremendous first-mover advantage of being the first digitally native sport.

Matt Kim, an esports reporter offers an interesting perspective. He grew up in Seoul, South Korea where the national sport is esports. “By the time I left South Korea, StarCraft was a dominant pop culture fixture in ways I don’t think a lot of people really understand. It wasn’t just because South Korea was paying professional gamers years before anyone else, or that competitions were broadcast on major television networks. In South Korea, StarCraft was literally everywhere, from branding on clothes to labels on food. It was in everyday conversations with classmates. Posters were plastered across city windows of seemingly infinite PC bangs – cafes where players pay by the hour. Now I’m seeing esports (in the U.S.) in mid-construction where it’s my job to report on its progress. Yet it feels like I’ve already seen the ending, and now I get to witness its engineering in reverse.”

1.2 billion hours were watched of the League of Legends Championships. More than 80 million unique viewers watched one match alone. By comparison, 76 million watched the final episode of Seinfeld, the Super Bowl of traditional television. If this is hard to get your head around, imagine how advertisers are trying to chew on this exponential opportunity while some of their traditional platforms are being spit out with declining viewership.

The video game online streaming audience is more than five times greater than Netflix subscribers, and Twitch dominates this market. According to Cerulli, the average age of a wealth manager is 51. I wonder how many have even heard of Twitch. Twitch is home to more than 2 million broadcasts a month shown to more than 15 million unique daily viewers. Their audience watched 355 billion minutes of Twitch last year. More than 150,000 streamers – the people providing the content – are getting paid from the Twitch platform alone. The total number of creators earning money more than tripled year over year. All with enough left over for Twitch to raise more than $30 million for charities. The revenue side has explosive scale while the cost per broadcast has to be even more enticing to future creators. I met a broadcaster on Twitch who needed a cheap webcam and comfortable chair. Compare that to an itemized cost to produce an average football game on television I found.

Even the cutting edge seems too crowded to one of my favorite thinkers – Daryl Morey, the General Manager of the Houston Rockets – who likes to be even earlier. He has completely revolutionized my favorite game of basketball. But, he’s not done. He now compares the growth opportunity of esports to 1950s basketball. Morey explains, “I say it all the time because it’s true: The three dominant sports in the future are going to be soccer, basketball and esports.”

“I believe esports will rival the biggest traditional sports leagues in terms of future opportunities, and between advertising, ticket sales, licensing, sponsorships and merchandising, there are tremendous growth areas for this nascent industry.” That comes from Steve Borenstein, Chairman of Activision’s esports division, who is the former CEO of ESPN and the NFL Network.

How Amazon steers shoppers to its own products

Amazon’s move into the private label retail space started small and quiet. As the article says, “It started with a simple battery.” Now, AmazonBasics batteries account for a third of online battery sales. To stay competitive, brands like Energizer are paying to advertise at the top of relevant search results. While AmazonBasics only has about 100 products, the room for growth is large, and they have the data to see what products to take private next. “About 70 percent of the word searches done on Amazon’s search browser are for generic goods. That means consumers are typing in “men’s underwear” or “running shoes” rather than asking, specifically, for Hanes or Nike.”


What an Amazon Pharmacy could solve, and what it won’t

In the future, patients could log into their Amazon accounts to track their prescription history, helping them better track their own health care. The company could also offer something like the “you might also like” recommendation engine, but more based on science than browsing history. A patient might indicate he has coronary heart disease and high cholesterol, for example. Amazon would also have data on the patient’s meds, and could recommend alternative treatments. Or Amazon might inform doctors that similar patients are getting a higher dose of the same drug.

Amazon would also have the capacity to collect data on side effects. Clinical trials are not big enough or run over a long enough time period to catch the less common side effects. Those tend to be identified after drugs go on the market and are widely used. But they might be identified faster if patients reported side effects the same way they write reviews of products. Not all reported complaints will be attributable to the drugs, but with enough data, patterns would emerge.

Netflix is a product & technology company (Netflix misunderstandings, pt. 2)

There’s a pernicious and persistent narrative about Netflix where the company’s success is overwhelmingly attributed to the mistakes of its suppliers. Not only did these suppliers (a group that included nearly every major media company) continually sell the most valuable rights to their most valuable content to Netflix, they massively underpriced these deals. As such, the streaming upstart was able to (1) access large volumes of high quality content at a time when it had none of its own; (2) build a business atop the creative successes of its eventual competitors; and (3) benefit from years of relatively uncontested OTT leadership. Hence success!

The prioritization of engagement time over quality is controversial, but there are a few explanations. To start, one has to assume Netflix is correct in observing that, at least in the short-run, watch time has a (much) stronger impact on retention than quality (and of course, the former is a more objective, quantifiable and analyzable metric). This relationship likely stems from the unique dynamics of an unbundled, D2C subscription content service.

This view considers content as fundamentally substitutable – because it’s not an experience being bought (or sold), it’s time. Quality is expressed through viewing volume and, as with most substitutable goods, pricing efficiency is paramount. If the average title generates 100 hours per dollar, then a title that generates only 80 hours costs Netflix 25% of potential viewing hours and thus avoidable subscriber losses and realizable subscriber gains. This dynamic is further bolstered by the role of cost amortization. The decision to make The Crown is an expensive one irrespective of the number of hours produced; set building, costume design, casting, scoring and location scouting are upfront, fixed costs, largely independent of episode count. As such, a 10-episode season typically won’t cost 11% more than a nine-episode one. Given the likelihood that a viewer would watch ten episodes rather than nine if given the choice, elongation drives both net engagement and efficiency gains. And that’s just in adding one episode.

To that same end, Netflix’s obsession with engagement may change as OTT video grows from its infancy into a more competitive puberty. As Netflix edges towards domestic saturation, its revenue growth will primarily be driven by price increases – and a reputation for overlong series and B-grade movies may prove problematic regardless of watch time growth (HBO’s price, after all, is 37% higher despite offering a fraction of the library and achieving even less engagement per customer). In addition, the competition in OTT video is only getting stronger. As new entrants attack the space with different priorities, or higher quality thresholds, Netflix will need to respond. Product will not be enough.


Netflix isn’t being reckless, it’s just playing a game no one else dares (Netflix misunderstandings, pt. 3)

Netflix’s goal is to have more subscribers than any other video service in the world, and to be the primary source of video content for each of these subscribers. The company doesn’t want to be a leader in video, or even the leader in video – it wants to monopolize the consumption of video; to become TV. This ambition has several important consequences, especially relating to the company’s spend.

Online distribution encourages audiences to concentrate their watching time and enables networks to monopolize their viewers’ attention. Much of this comes from the fact that unlike pay TV, most online video subscriptions are sold a la carte and on a month-to-month basis. This has four major implications. First, it’s harder for viewers to discover competing networks or sample their content, as they’re no longer a channel change away. Second, it’s harder for any network to acquire new paying customers, as this requires each would-be subscriber to first decide they’re willing to spend more money each month, then go through the process of signing-up. And even when a paid customer is acquired, retention is a challenge. A few great shows each year isn’t enough to sustain 12 straight months of paid subscriptions and avoid “binge-and-churn” subscriber behavior. Fourth, the viewer experience of managing multiple streaming networks is rough. Unlike pay TV, which bundles all channels onto a single output with a consistent UI and centralized guides, OTT video requires audiences to contend with multiple apps, with different watchlists and interfaces (e.g. some have individual user profiles others don’t; some boast great UIs, others are horrid), not to mention variable definitions of reliability and streaming quality. On top of this, internet-enabled personalization and on-demand distribution allows a digital network to be all things to all people at all times – no longer are dozens of channels needed to satisfy the various interests of a single zip code. And finally, digital networks are free to air any content at any time – and as such, any consumption lubricates additional consumption and prevents consumption of a competitor.

Netflix’s goal is to functionally replace the entire bundle– to have so much content that customers don’t need another general entertainment aggregator, be it Hulu or DirecTV Now. Audiences would still have a few focused carve outs, such as HBO, ESPN or Disney, but rather than enlisting for Discovery + AMC + ABC + Nickelodeon + Showtime etc., the average household would just need Netflix. Not only does the company benefit from a virtuous cycle in pursuit of this goal, this would save the average household hundreds of dollars per year even if Netflix doubled or tripled its monthly fee. This end-state might seem ambitious, but that’s why Netflix’s spend is both substantial and aggressive – the goal isn’t just satisfying current subscribers, it’s to replace almost all its competitors.


Netflix and the rise of global scale media (or how media learned to love its customers)

Two important results of this has been the ability to raise its prices 3 times in the past 4 years without materially impacting its long-term growth rate, demonstrating just how much consumer surplus it provides the customer relative to the value it captures via pricing, while also bringing down its churn rate over time, demonstrating increasing customer satisfaction with its service. The large value gap also means that Netflix has additional pricing power in the future it can take to improve its margins.

Netflix has also created the capability to source content globally (sometimes required by regulation in certain locales) and redistributing it to subscribers in foreign geographies that would never have sought it out for lack of awareness. This data driven targeting/marketing capability uniquely provides Netflix’s the capability to drive viewer demand for its content investments across a global audience (increasing scale of demand) while increasing both the pool of its content supply (lowering overall cost) while better pricing the value of each piece of content pays.

JOHN MALONE: It’s way too late… So, you know, his scale, the ability to create content to scale. I mean, if you think about it, three years ago, HBO was the biggest, most powerful thing in the– in the– premium entertainment category. They spent I think two and– $2 billion to $2.5 billion on content. They’re now dwarfed. And beside that, HBO is essentially only a domestic distributor. So they don’t have the global platform under them. And, while they can syndicate or sell their content to foreign distributors, it– it– it is not nearly as strong a business model as being able to know the customer, deliver the stuff directly, and control the pricing at which your product is delivered. So– and having all the information about the consumer and their habits– which in Reed’s case, he’s not using for advertising at this point, but he certainly can use that to optimize his programming. So I– I think he’s done a brilliant job of– of building that business. Scale is– is very, very powerful when you’re producing something that has a high fixed and very low variable cost. So when you get to a point where your marginal cost is $0, profitability is enormous as you scale up.”

China’s risqué live-streaming apps are now objectifying men too

Live-streaming is expected to nearly double from this year to 126.8 billion yuan ($19 billion) in China by 2022, according to a research report from internet consultant IResearch. YY and Momo both take about 60 percent of the cut of tips that live-streamers make.

Already, YY has lifted the revenue contribution from female users by 10 percentage points to about 40 percent this year from when it first started the business, Li said. On Momo, women account for only about 25 percent of users and men remain the main source of tipping. Yet the company is working to create services that will make female users more open to using its platform including women-oriented gaming, cosmetics and fashion channels, according to Jia Wei, vice president of Momo and general manager of live-streaming.

JD.com estimates that women’s spending power will reach 4.5 trillion yuan ($676 billion) in China by 2019.

Can live streaming make money? Takeaways from Huya’s May IPO

According to an earlier PricewaterhouseCoopers report on trends in the sector, China and the Asia-Pacific region are becoming the largest consumer markets for online gaming and will maintain a steady compound annual growth rate (13.9%), with total revenue for the sector reaching US$195 million by 2021. Looking at the driving force behind this propulsion in value, PricewaterhouseCoopers predicts that by 2021, the value of advertising from live stream media will reach US$84 million, and events revenue will reach US$54 million. Player fees alone will net US$31 million. Ultimately, the rise of eSports in China is related to the booming video game market. In 2016, the Chinese video game sector was worth US$15.4 billion. By 2021, it is expected to challenge today’s largest market, the US, for first place, with expected revenues of $26.2 billion.


Activision is ‘best positioned’ for the coming billion-dollar eSports bonanza

eSports are expected to generate direct revenue of over $900 million this year and cross the $1 billion threshold in 2019, Post said. But those figures may just be scratching the surface. Over time, and using a traditional sports analogy, we believe eSports advertising (streaming, sponsorship), ticket sales, promotions, and merchandise sales could reach $15 billion.

Intel acquires eASIC to take its chipsets deeper into IoT and other future technologies

“We’re seeing the largest adoption of FPGA ever because of explosion of data and cloud services, and we think this will give us a lot of differentiation versus the likes of Xilinx,” which is one of Intel’s biggest competitors in FPGA. “We’ll be able to offer an end-to-end lifecycle that fits today’s changing workloads and infrastructure. No one on the marketplace will have this.” FPGA designs allow companies to quickly modify chip architectures, but they also require a lot of power. eASIC chips are more efficient, and they can be configured quickly from the outset (but cannot be modified).


Morningstar targets slice of $19tn market with in-house funds

The group’s highly-prized industry ratings system is influential in determining the fate of fund management companies. A poor rating, or negative report from an analyst, can often trigger sharp outflows, while top-rated funds draw huge inflows.

Morningstar said its mutual funds would not be qualitatively rated by its own analysts but they would be eligible for an in-house algorithmically-assigned star rating after a three-year performance record, at which time they would become a client of the group’s research arm.

Having started life as a boutique research provider that compiled data on 400 mutual funds three decades ago, Morningstar has become a powerhouse of the asset management industry, employing 5,000 staff, overseeing more than $200bn of assets and publishing data on 233,000 mutual funds.

Harvard study: Heat slows down the brain by 13%

The study has socioeconomic findings, too: if you’re too poor to afford air-conditioning you might fall behind at work or at school. In fact, studies are proving this repeatedly.

America, by and large, has an obsession with A/C… 87% of American homes have A/C. There are currently 1.6 billion A/C units in the world, and that figure is expected to be five times greater by 2050 as climate change takes its toll.