• Tech Book of the Month
  • Archive
  • Recommend a Book
  • Choose The Next Book
  • Sign Up
  • About
  • Search
Tech Book of the Month
  • Tech Book of the Month
  • Archive
  • Recommend a Book
  • Choose The Next Book
  • Sign Up
  • About
  • Search

April 2021 - Innovator's Solution by Clayton Christensen and Michael Raynor

This month we take another look at disruptive innovation in the counter piece to Clayton Christensen’s Innovator’s Dilemma, our July 2020 book. The book crystallizes the types of disruptive innovation and provides frameworks for how incumbents can introduce or combat these innovations. The book was a pleasure to read and will serve as a great reference for the future.

Tech Themes

  1. Integration and Outsourcing. Today, technology companies rely on a variety of software tools and open source components to build their products. When you stitch all of these components together, you get the full product architecture. A great example is seen here with Gitlab, an SMB DevOps provider. They have Postgres for a relational database, Redis for caching, NGINX for request routing, Sentry for monitoring and error tracking and so on. Each of these subsystems interacts with each other to form the powerful Gitlab project. These interaction points are called interfaces. The key product development question for companies is: “Which things do I build internally and which do I outsource?” A simple answer offered by many MBA students is “Outsource everything that is not part of your core competence.” As Clayton Christensen points out, “The problem with core-competence/not-your-core-competence categorization is that what might seem to be a non-core activity today might become an absolutely critical competence to have mastered in a proprietary way in the future, and vice versa.” A great example that we’ve discussed before is IBM’s decision to go with Microsoft DOS for its Operating System and Intel for its Microprocessor. At the time, IBM thought it was making a strategic decision to outsource things that were not within its core competence but they inadvertently gave almost all of the industry profits from personal computing to Intel and Microsoft. Other competitors copied their modular approach and the whole industry slugged it out on price. The question of whether to outsource really depends on what might be important in the future. But that is difficult to predict, so the question of integration vs. outsourcing really comes down to the state of the product and market itself: is this product “not good enough” yet? If the answer is yes, then a proprietary, integrated architecture is likely needed just to make the actual product work for customers. Over time, as competitors enter the market and the fully integrated platform becomes more commoditized, the individual subsystems become increasingly important competitive drivers. So the decision to outsource or build internally must be made on the status of product and the market its attacking.

  2. Commoditization within Stacks. The above point leads to the unbelievable idea of how companies fall into the commoditization trap. This happens from overshooting, where companies create products that are too good (which I find counter-intuitive, who thought that doing your job really well would cause customers to leave!). Christensen describes this through the lens of a salesperson “‘Why can’t they see that our product is better than the competition? They’re treating it like a commodity!’ This is evidence of overshooting…there is a performance surplus. Customers are happy to accept improved products, but unwilling to pay a premium price to get them.” At this time, the things demanded by customers flip - they are willing to pay premium prices for innovations along a new trajectory of performance, most likely speed, convenience, and customization. “The pressure of competing along this new trajectory of improvement forces a gradual evolution in product architectures, away from the interdependent, proprietary architectures that had the advantage in the not-good-enough era toward modular designs in the era of performance surplus. In a modular world, you can prosper by outsourcing or by supplying just one element.” This process of integration, to modularization and back, is super fascinating. As an example of modularization, let’s take the streaming company Confluent, the makers of the open-source software project Apache Kafka. Confluent offers a real-time communications service that allows companies to stream data (as events) rather than batching large data transfers. Their product is often a sub-system underpinning real-time applications, like providing data to traders at Citigroup. Clearly, the basis of competition in trading has pivoted over the years as more and more banking companies offer the service. Companies are prioritizing a new axis, speed, to differentiate amongst competing services, and when speed is the basis of competition, you use Confluent and Kafka to beat out the competition. Now let’s fast forward five years and assume all banks use Kafka and Confluent for their traders, the modular sub-system is thus commoditized. What happens? I’d posit that the axis would shift again, maybe towards convenience, or customization where traders want specific info displayed maybe on a mobile phone or tablet. The fundamental idea is that “Disruption and commoditization can be seen as two sides of the same coin. That’s because the process of commoditization initiates a reciprocal process of de-commoditization [somewhere else in the stack].”

  3. The Disruptive Becomes the Disruptor. Disruption is a relative term. As we’ve discussed previously, disruption is often mischaracterized as startups enter markets and challenge incumbents. Disruption is really a focused and contextual concept whereby products that are “not good enough” by market standards enter a market with a simpler, more convenient, or less expensive product. These products and markets are often dismissed by incumbents or even ceded by market leaders as those leaders continue to move up-market to chase even bigger customers. Its fascinating to watch the disruptive become the disrupted. A great example would be department stores - initially, Macy’s offered a massive selection that couldn’t be found in any single store and customers loved it. They did this by turning inventory three times per year with 40% gross margins for a 120% return on capital invested in inventory. In the 1960s, Walmart and Kmart attacked the full-service department stores by offering a similar selection at much cheaper prices. They did this by setting up a value system whereby they could make 23% gross margins but turn inventories 5 times per year, enabling them to earn the industry golden 120% return on capital invested in inventory. Full-service department stores decided not to compete against these lower gross margin products and shifted more space to beauty and cosmetics that offered even higher gross margins (55%) than the 40% they were used to. This meant they could increase their return on capital invested in inventory and their profits while avoiding a competitive threat. This process continued with discount stores eventually pushing Macy’s out of most categories until Macy’s had nowhere to go. All of a sudden the initially disruptive department stores had become disrupted. We see this in technology markets as well. I’m not 100% this qualifies but think about Salesforce and Oracle. Marc Benioff had spent a number of years at Oracle and left to start Salesforce, which pioneered selling subscription, cloud software, on a per-seat revenue model. This meant a much cheaper option compared to traditional Oracle/Siebel CRM software. Salesforce was initially adopted by smaller customers that didn’t need the feature-rich platform offered by Oracle. Oracle dismissed Salesforce as competition even as Oracle CEO Larry Ellison seeded Salesforce and sat on Salesforce’s board. Today, Salesforce is a $200B company and briefly passed Oracle in market cap a few months ago. But now, Salesforce has raised its prices and mostly targets large enterprise buyers to hit its ambitious growth initiatives. Down-market competitors like Hubspot have come into the market with cheaper solutions and more fully integrated marketing tools to help smaller businesses that aren’t ready for a fully-featured Salesforce platform. Disruption is always contextual and it never stops.

Business Themes

1_fnX5OXzCcYOyPfRHA7o7ug.png
  1. Low-end-Market vs. New-Market Disruption. There are two types of established methods for disruption: Low-end-market (Down-market) and New-market. Low-end-market disruption seeks to establish performance that is “not good enough” along traditional lines, and targets overserved customers in the low-end of the mainstream market. It typically utilizes a new operating or financial approach with structurally different margins than up-market competitors. Amazon.com is a quintessential low-end market disruptor compared to traditional bookstores, offering prices so low they angered book publishers while offering unmatched convenience to customers allowing them to purchase books online. In contrast, Robinhood is a great example of a new-market disruption. Traditional discount brokerages like Charles Schwab and Fidelity had been around for a while (themselves disruptors of full-service models like Morgan Stanley Wealth Management). But Robinhood targeted a group of people that weren’t consuming in the market, namely teens and millennials, and they did it in an easy-to-use app with a much better user interface compared to Schwab and Fidelity. Robinhood also pioneered new pricing with zero-fee trading and made revenue via a new financial approach, payment for order flow (PFOF). Robinhood makes money by being a data provider to market makers - basically, large hedge funds, like Citadel, pay Robinhood for data on their transactions to help optimize customers buying and selling prices. When approaching big markets its important to ask: Is this targeted at a non-consumer today or am I competing at a structurally lower margin with a new financial model and a “not quite good enough” product? This determines whether you are providing a low-end market disruption or a new-market disruption.

  2. Jobs To Be Done. The jobs to be done framework was one of the most important frameworks that Clayton Christensen ever introduced. Marketers typically use advertising platforms like Facebook and Google to target specific demographics with their ads. These segments are narrowly defined: “Males over 55, living in New York City, with household income above $100,000.” The issue with this categorization method is that while these are attributes that may be correlated with a product purchase, customers do not look up exactly how marketers expect them to behave and purchase the products expected by their attributes. There may be a correlation but simply targeting certain demographics does not yield a great result. The marketers need to understand why the customer is adopting the product. This is where the Jobs to Be Done framework comes in. As Christensen describes it, “Customers - people and companies - have ‘jobs’ that arise regularly and need to get done. When customers become aware of a job that they need to get done in their lives, they look around for a product or service that they can ‘hire’ to get the job done. Their thought processes originate with an awareness of needing to get something done, and then they set out to hire something or someone to do the job as effectively, conveniently, and inexpensively as possible.” Christensen zeroes in on the contextual adoption of products; it is the circumstance and not the demographics that matter most. Christensen describes ways for people to view competition and feature development through the Jobs to Be Done lens using Blackberry as an example (later disrupted by the iPhone). While the immature smartphone market was seeing feature competition from Microsoft, Motorola, and Nokia, Blackberry and its parent company RIM came out with a simple to use device that allowed for short productivity bursts when the time was available. This meant they leaned into features that competed not with other smartphone providers (like better cellular reception), but rather things that allowed for these easy “productive” sessions like email, wall street journal updates, and simple games. The Blackberry was later disrupted by the iPhone which offered more interesting applications in an easier to use package. Interestingly, the first iPhone shipped without an app store (but as a proprietary, interdependent product) and was viewed as not good enough for work purposes, allowing the Blackberry to co-exist. Management even dismissed the iPhone as a competitor initially. It wasn’t long until the iPhone caught up and eventually surpassed the Blackberry as the world’s leading mobile phone.

  3. Brand Strategies. Companies may choose to address customers in a number of different circumstances and address a number of Jobs to Be Done. It’s important that the Company establishes specific ways of communicating the circumstance to the customer. Branding is powerful, something that Warren Buffett, Terry Smith, and Clayton Christensen have all recognized as durable growth providers. As Christensen puts it: “Brands are, at the beginning, hollow words into which marketers stuff meaning. if a brand’s meaning is positioned on a job to be done, then when the job arises in a customer’s life, he or she will remember the brand and hire the product. Customers pay significant premiums for brands that do a job well.” So what can a large corporate company do when faced with a disruptive challenger to its branding turf? It’s simple - add a word to their leading brand, targeted at the circumstance in which a customer might find themself. Think about Marriott, one of the leading hotel chains. They offer a number of hotel brands: Courtyard by Marriott for business travel, Residence Inn by Marriott for a home away from home, the Ritz Carlton for high-end luxurious stays, Marriott Vacation Club for resort destination hotels. Each brand is targeted at a different Job to Be Done and customers intuitively understand what the brands stand for based on experience or advertising. A great technology example is Amazon Web Services (AWS), the cloud computing division of Amazon.com. Amazon invented the cloud, and rather than launch with the Amazon.com brand, which might have confused their normal e-commerce customers, they created a completely new brand targeted at a different set of buyers and problems, that maintained the quality and recognition that Amazon had become known for. Another great retail example is the SNKRs app released by Nike. Nike understands that some customers are sneakerheads, and want to know the latest about all Nike shoe drops, so Nike created a distinct, branded app called SNKRS, that gives news and updates on the latest, trendiest sneakers. These buyers might not be interested in logging into the Nike app and may become angry after sifting through all of the different types of apparel offered by Nike, just to find new shoes. The SNKRS app offers a new set of consumers and an easy way to find what they are looking for (convenience), which benefits Nike’s core business. Branding is powerful, and understanding the Job to Be Done helps focus the right brand for the right job.

Dig Deeper

  • Clayton Christensen’s Overview on Disruptive Innovation

  • Jobs to Be Done: 4 Real-World Examples

  • A Peek Inside Marriott’s Marketing Strategy & Why It Works So Well

  • The Rise and Fall of Blackberry

  • Payment for Order Flow Overview

  • How Commoditization Happens

tags: Clayton Christensen, AWS, Nike, Amazon, Marriott, Warren Buffett, Terry Smith, Blackberry, RIM, Microsoft, Motorola, iPhone, Facebook, Google, Robinhood, Citadel, Schwab, Fidelity, Morgan Stanley, Oracle, Salesforce, Walmart, Macy's, Kmart, Confluent, Kafka, Citigroup, Intel, Gitlab, Redis
categories: Non-Fiction
 

March 2021 - Payments Systems in the U.S. by Carol Coye Benson, Scott Loftesness, and Russ Jones

This month we dive into the fintech space for the first time! Glenbrook Partners is a famous payments consulting company. This classic book describes the history and current state of the many financial systems we use every day. While the book is a bit dated and reads like a textbook, it throws in some great real-world observations and provides a great foundation for any payments novice!

Tech Themes

  1. Mapping Open-Loop and Closed-Loop Networks. The major credit and debit card providers (Visa, Mastercard, American Express, China UnionPay, and Discover) all compete for the same spots in customer wallets but have unique and differing backgrounds and mechanics. The first credit card on the scene was the BankAmericard in the late 1950’s. As it took off, Bank of America started licensing the technology all across the US and created National BankAmericard Inc. (NBI) to facilitate its card program. NBI merged with its international counterpart (IBANCO) to form Visa in the mid-1970’s. Another group of California banks had created the Interbank Card Association (ICA) to compete with Visa and in 1979 renamed itself Mastercard. Both organizations remained owned by the banks until their IPO’s in 2006 (Mastercard) and 2008 (Visa). Both of these companies are known as open-loop networks, that is they work with any bank and require banks to sign up customers and merchants. As the bank points out, “This structure allows the two end parties to transact with each other without having direct relationships with each other’s banks.” This convenient feature of open-loop payments systems means that they can scale incredibly quickly. Any time a bank signs up a new customer or merchant, they immediately have access to the network of all other banks on the Mastercard / Visa network. In contrast to open-loop systems, American Express and Discover operate largely closed-loop systems, where they enroll each merchant and customer individually. Because of this onerous task of finding and signing up every single consumer/merchant, Amex and Discover cannot scale to nearly the size of Visa/Mastercard. However, there is no bank intermediation and the networks get total access to all transaction data, making them a go-to solution for things like loyalty programs, where a merchant may want to leverage data to target specific brand benefits at a customer. Open-loop systems like Apple Pay (its tied to your bank account) and closed-loop systems like Starbuck’s purchasing app (funds are pre-loaded and can only be redeemed at Starbucks) can be found everywhere. Even Snowflake, the data warehouse provider and subject of last month’s TBOTM is a closed-loop payments network. Customers buy Snowflake credits up-front, which can only be used to redeem Snowflake compute services. In contrast, AWS and other cloud’s are beginning to offer more open-loop style networks, where AWS credits can be redeemed against non-AWS software. Side note - these credit systems and odd-pricing structures deliberately mislead customers and obfuscate actual costs, allowing the cloud companies to better control gross margins and revenue growth. It’s fascinating to view the world through this open-loop / closed-loop dynamic.

  2. New Kids on the Block - What are Stripe, Adyen, and Marqeta? Stripe recently raised at a minuscule valuation of $95B, making it the highest valued private startup (ever?!). Marqeta, its API/card-issuing counterpart, is prepping a 2021 IPO that may value it at $10B. Adyen, a Dutch public company is worth close to $60B (Visa is worth $440B for comparison). Stripe and Marqeta are API-based payment service providers, which allow businesses to easily accept online payments and issue debit and credit cards for a variety of use cases. Adyen is a merchant account provider, which means it actually maintains the merchant account used to run a company’s business - this often comes with enormous scale benefits and reduced costs, which is why large customers like Nike have opted for Adyen. This merchant account clearing process can take quite a while which is why Stripe is focused on SMB’s - a business can sign up as a Stripe customer and almost immediately begin accepting online payments on the internet. Stripe and Marqeta’s API’s allow a seamless integration into payment checkout flows. On top of this basic but highly now simplified use case, Stripe and Marqeta (and Adyen) allow companies to issue debit and credit cards for all sorts of use cases. This is creating an absolute BOOM in fintech, as companies seek to try new and innovative ways of issuing credit/debit cards - such as expense management, banking-as-a-service, and buy-now-pay-later. Why is this now such a big thing when Stripe, Adyen, and Marqeta were all created before 2011? In 2016, Visa launched its first developer API’s which allowed companies like Stripe, Adyen, and Marqeta to become licensed Visa card issuers - now any merchant could issue their own branded Visa card. That is why Andreessen Horowitz’s fintech partner Angela Strange proclaimed: “Every company will be a fintech company.” (this is also clearly some VC marketing)! Mastercard followed suit in 2019, launching its open API called the Mastercard Innovation Engine. The big networks decided to support innovation - Visa is an investor in Stripe and Marqeta, AmEx is an investor in Stripe, and Mastercard is an investor in Marqeta. Surprisingly, no network providers are investors in Adyen. Fintech innovation has always seen that the upstarts re-write the incumbents (Visa and Mastercard are bigger than the banks with much better business models) - will the same happen here?

  3. Building a High Availability System. Do Mastercard and Visa have the highest availability needs of any system? Obviously, people are angry when Slack or Google Cloud goes down, but think about how many people are affected when Visa or Mastercard goes down? In 2018, a UK hardware failure prompted a five-hour outage at Visa: “Disgruntled customers at supermarkets, petrol stations and abroad vented their frustrations on social media when there was little information from the financial services firm. Bank transactions were also hit.” High availability is a measure of system uptime: “Availability is often expressed as a percentage indicating how much uptime is expected from a particular system or component in a given period of time, where a value of 100% would indicate that the system never fails. For instance, a system that guarantees 99% of availability in a period of one year can have up to 3.65 days of downtime (1%).” According to Statista, Visa handles ~185B transactions per year (a cool 6,000 per second), while UnionPay comes in second with 131B and Mastercard in third with 108B. For the last twelve months end June 30, 2020, Visa processed $8.7T in payments volume which means that the average transaction was ~$47. At 6,000 transactions per second, Visa loses $282,000 in payment volume every second it’s down. Mastercard and Visa have always been historically very cagey about disclosing data center operations (the only article I could find is from 2013) though they control their own operations much like other technology giants. “One of the keys to the [Visa] network's performance, Quinlan says, is capacity. And Visa has lots of it. Its two data centers--which are mirror images of each other and can operate interchangeably--are configured to process as many as 30,000 simultaneous transactions, or nearly three times as much as they've ever been asked to handle. Inside the pods, 376 servers, 277 switches, 85 routers, and 42 firewalls--all connected by 3,000 miles of cable--hum around the clock, enabling transactions around the globe in near real-time and keeping Visa's business running.” The data infrastructure challenges that payments systems are subjected to are massive and yet they all seem to perform very well. I’d love to learn more about how they do it!

Business Themes

interchange_fee.jpg
Interchange.png
  1. What is interchange and why does it exist? BigCommerce has a great simple definition for interchange: “Interchange fees are transaction fees that the merchant's bank account must pay whenever a customer uses a credit/debit card to make a purchase from their store. The fees are paid to the card-issuing bank to cover handling costs, fraud and bad debt costs and the risk involved in approving the payment.” What is crazy about interchange is that it is not the banks, but the networks (Mastercard, Visa, China UnionPay) that set interchange rates. On top of that, the networks set the rates but receive no revenue from interchange itself. As the book points out: “Since the card netork’s issuing customers are the recipients of interchange fees, the level of interchange that a network sets is an important element in the network’s competitive position. A higher level of interchange on one network’s card products naturally makes that network’s card products more attractive to card issuers.” The incentives here are wild - the card issuers (banks) want higher interchange because they receive the interchange from the merchant’s bank in a transaction, the card networks want more card issuing customers and offering higher interchange rates better positions them in competitive battles. The merchant is left worse off by higher interchange rates, as the merchant bank almost always passes this fee on to the merchant itself ($100 received via credit card turns out to only be $97 when it gets to their bank account because of fees). Visa and Mastercard have different interchange rates for every type of transaction and acceptance method - making it a complicated nightmare to actually understand their fees. The networks and their issuers may claim that increased interchange fees allow banks to invest more in fraud protection, risk management, and handling costs, but there is no way to verify this claim. This has caused a crazy war between merchants, the card networks, and the card issuers.

  2. Why is Jamie Dimon so pissed about fintechs? In a recent interview, Jamie Dimon, CEO of JP Morgan Chase, recently called fintechs “examples of unfair competition.” Dimon is angry about the famous (or infamous) Durbin Amendment, which was a last-minute addition included in the landmark Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010. The Durbin amendment attempted to cap the interchange amount that could be charged by banks and tier the interchange rates based on the assets of the bank. In theory, capping the rates would mean that merchants paid less in fees, and the merchant would pass these lower fees onto the consumer by giving them lower prices thus spurring demand. The tiering would mean banks with >$10B in assets under management would make less in interchange fees, leveling the playing field for smaller banks and credit unions. “The regulated [bank with >$10B in assets] debit fee is 0.05% + $0.21, while the unregulated is 1.60% + $0.05. Before the Durbin Amendment the fee was 1.190% + $0.10.” While this did lower debit card interchange, a few unintended consequences resulted: 1. Regulators expected that banks would make substantially less revenue, however, they failed to recognize that banks might increase other fees to offset this lost revenue stream: “Banks have cut back on offering rewards for their debit cards. Banks have also started charging more for their checking accounts or they require a larger monthly balance.” In addition, many smaller banks couldn’t recoup the lost revenue amount, leading to many bankruptcies and consolidation. 2. Because a flat rate fee was introduced regardless of transaction size, smaller merchants were charged more in interchange than the prior system (which was pro-rated based on $ amount). “One problem with the Durbin Amendment is that it didn’t take small transactions into account,” said Ellen Cunningham, processing expert at CardFellow.com. “On a small transaction, 22 cents is a bigger bite than on a larger transaction. Convenience stores, coffee shops and others with smaller sales benefited from the original system, with a lower per-transaction fee even if it came with a higher percentage.” These small retailers ended up raising prices in some instances to combat these additional fees - causing the law to have the opposite effect of lowering costs to consumers. Dimon is angry that this law has allowed fintech companies to start charging higher prices for debit card transactions. As shown above, smaller banks earn a substantial amount more in interchange fees. These smaller banks are moving quickly to partner with fintechs, which now power hundreds of millions of dollars in account balances and Dimon believes they are not spending enough attention on anti-money laundering and fraud practices. In addition, fintech’s are making money in suspect ways - Chime makes 21% of its revenue through high out-of-network ATM fees, and cash advance companies like Dave, Branch, and Earnin’ are offering what amount to pay-day loans to customers.

  3. Mastercard and Visa: A history of regulation. Visa and Mastercard have been the subject of many regulatory battles over the years. The US Justice Department announced in March that it would be investigating Visa over online debit-card practices. In 1996, Visa and Mastercard were sued by merchants and settled for $3B. In 1998, the Department of Justice won a case against Visa and Mastercard for not allowing issuing banks to work with other card networks like AmEx and Discover. In 2009, Mastercard and Visa were sued by the European Union and forced to reduce debit card swipe fees by 0.2%. In 2012, Mastercard and Visa were sued for price-fixing fees and were forced to pay $6.25B in a settlement. The networks have been sued by the US, Europe, Australia, New Zealand, ATM Operators, Intuit, Starbucks, Amazon, Walmart, and many more. Each time they have been forced to modify fees and practices to ensure competition. However, this has also re-inforced their dominance as the biggest payment networks which is why no competitors have been established since the creation of the networks in the 1970’s. Also, leave it to the banks to establish a revenue source that is so good that it is almost entirely undefeatable by legislation. When, if ever, will Visa and Mastercard not be dominant payments companies?

Dig Deeper

  • American Banker: Big banks, Big Tech face-off over swipe fees

  • Stripe Sessions 2019 | The future of payments

  • China's growth cements UnionPay as world's largest card scheme

  • THE DAY THE CREDIT CARD WAS BORN by Joe Nocera (Washington Post)

  • Mine Safety Disclosure’s 2019 Visa Investment Case

  • FineMeValue’s Payments Overview

tags: Visa, Mastercard, American Express, Discover, Bank of America, Stripe, Marqeta, Adyen, Apple, Open-loop, Closed-loop, Snowflake, AWS, Nike, BNPL, Andreessen Horowitz, Angela Strange, Slack, Google Cloud, UnionPay, BigCommerce, Jamie Dimon, Dodd-Frank, Durbin Amendment, JP Morgan Chase, Debit Cards, Credit Cards, Chime, Branch, Earnin', US Department of Justice, Intuit, Starbucks, Amazon, Walmart
categories: Non-Fiction
 

About Contact Us | Recommend a Book Disclaimer