For 10+ years, fintech startups were in “IPO or bust” mode because there weren’t many active buyers in the ecosystem.

But buyers are back which has profound implications on the outcome distribution for Founders and VCs. This is DEFINITELY worth internalizing. Unpacked:
2/38: Until a few years ago, fintech startups were considered “niche opportunities” with very limited upside. Today, 1 in 5 investment dollars are chasing startups in this “niche” ecosystem and it seems like a day doesn’t go by without another fintech unicorn being minted.
3/38: But, for more than a decade, fintechs have been shaking up the traditional banking sector with their disruptive models. Fintechs have assembled low-cost modern tech stacks with modern UX/UIs and paired flexible infrastructure with an intense focus on their customers’ needs.
4/38: Traditional banks bring very different skills and assets to the table. They’re suffering from tech debt due to products built on top of legacy infrastructure but have scale and the machinery to navigate the complexities of operating in a highly regulated industry.
5/38: But banks have been slow to buy fintech startups even though it makes sense on paper. In fact, in the first decade of “fintech” (2009-2018), acquisition activity was anemic with around two dozen transactions by the “majors”. Most banks didn’t participate at all.
6/38: Explaining why banks “sat it out” is easy.

Lofty multiples, short-term optimization, build vs. buy thinking and integration challenges.

These issues stem from insular thinking and management prioritizing what analysts and investors want vs. what their customers want.
7/38: Lofty Multiples

Since 2008, fintechs convinced VC and PE firms that they were more “tech” than “fin” and therefore deserved tech multiples. These same firms prioritized growth over profitability and valued companies based on future metrics.
8/38: During this period, banks were trading in the public markets based on trailing P/E multiples of 10-20X and fintechs were trading in the private markets at forward revenue multiples of 5-15X. The divide was seen as too wide to cross.
9/38: Short-Term Optimization

For great fintechs, the value of their brands, customer bases, growth machines and proprietary technology stacks are coveted by banks. But, banks have historically struggled to attribute significant value to these intangibles.
10/38: How much a bank has historically been willing to pay for an asset has always focused on answering the question: “How long will it take for the acquisition to be accretive”? Banks don’t like when the answer is unclear or is many years in the future.
11/38: Build vs. Buy Thinking

Big companies have by definition been successful (otherwise they never would have become big companies). If not checked, this success can create hubris and a “not built here” culture.
12/38: Most banks have fallen into this trap. Many Bank Executives believe that it would be cheaper and easier to build than to buy. But the truth is that most Banks are terrible at shipping code. Shipping code is everything and Banks haven’t historically done it well.
13/38: Innovation is brought to life in code and code is like trying to study the stars. Looking at a star 50 light years away means looking 50 years in the past. To ship code 1 year after having an idea means addressing a problem that’s 1 year old from a market perspective.
14/38: And if fintech companies are shipping code in weeks vs. months or quarters vs. years at a traditional Bank, the fintechs are better able to keep up with the "now" needs of the marketplace vs. its "yesterday" needs.
15/38: Integration Challenges

Big, well-run banks are well oiled machines. They run smoothly based on the cultural norms and decision processes they’ve built over time. The people fintechs hire and how they get work done is extraordinarily different!
16/38: Banks have set up systems where most decision makers aren’t rewarded for pushing the envelope but they are punished if they go too far. It’s a system with zero upside and unlimited downside (getting fired).
17/38: Contrast this to a fintech where getting to “no” is equivalent to shutting their doors. It has to string together enough “yes” answers over a multi-year period to earn the right to survive. Yes means finding a way that works EVERY SINGLE DAY.
18/38: So banks have wanted more of what fintechs bring to the table but they’ve been reluctant to adopt the methodologies of the nimble, problem-solving-orientation of successful fintechs. The fear on both sides of an acquisition has been that “integration” would kill the magic.
19/38: But the tide is changing. More banks have started to acquire fintechs. A handful of fintechs have become large enough to buy smaller fintechs. And non-bank tech companies are entering the fray because they plan on adding fintech capabilities to their product suites.
20/38: Driver 1: Technicals have improved

Tailwinds for banks include the wave of one of the best economic recoveries in U.S. history, with consumer spending aided by massive amounts of liquidity and low interest rates. Bank stock prices are up and closing in on 2X book value.
21/38: Banks’ balance sheets are also much larger with deposits surging from an unprecedented period of consumer saving and loan paydown. JPM is a good example having gained $1T in deposits in the past year. But while deposits are important, they need to be put to work.
22/38: Driver 2: Capital and Growth

There’s only so much capital banks can return to shareholders because of CCAR. But they’re generating a lot of capital and their stocks are trading at healthy valuations which makes acquisitions easier to execute that in the past.
23/38: The last wave of regulatory implementation is complete (Dodd-Frank, etc) and no new regulations are on the horizon to worry about. The last administration took the shackles off growth so banks like JPM decided to expand into all states because it finally could.
24/38: Regionals can continue to grow through bank M&A but the biggest banks can’t. On a relative basis, fintechs are more expensive acquisition targets but the public markets clearly believe there’s value to be captured (Tradeweb, Square, Stripe, Affirm, Bill.com)
25/38: Driver 3: Internal innovation efforts

Banks have tried to innovate with marginal success because they don’t have the talent, processes or speed to take on nimble startups. Playing “catch-up” is difficult when the landscape of fintech offerings is constantly expanding.
26/38: Certain pieces of banking are starting to exhibit winner-take-most dynamics. In spaces like payments and investments, being a fast follower or a me-too player isn’t good enough. Building to a world class standard is more difficult than buying an emerging winner.
27/38: Driver 4: Emerging Winners

Most public companies allow “the street to lead the witness”. They carefully manage industry analysts and optimize for quarterly earnings reports. In the past, this meant worrying about goodwill and insisting that acquisitions were accretive.
28/38: The public markets are rewarding tech-forward banks because the impressive performance of platforms like Square and Paypal has upped the perceived value of owning market leading offerings. But buying established winners is expensive so banks are looking earlier.
29/38: Banks have finally started to internalize that market momentum is real. A company that’s growing at a 100%+ growth rate isn’t going to suddenly slow down. Paying up for these companies while they’re small is cheaper than waiting for them to double and double again.
30/38: This strategy adds goodwill to an acquirer’s balance sheet but the market has been rewarding acquirers for being “technologically forward”. And to Founders, it creates an off-ramp that puts tens of millions of dollars in their pockets and de-risks the rest of their lives.
31/38: Bonus Driver 1: Fintechs Are Buying Fintechs

There are now a few dozen fintechs (private and public) with enough scale, capital and capabilities to buy smaller fintechs. These acquisitions are “threat enhancers” to an already threatened bank ecosystem.
32/38: Pre-IPO fintechs are buying smaller fintechs to dress up their IPO narratives. Acquisitions can diversify a company’s revenue base and tell a story about how it has significant growth potential because secondary product lines have additional TAM to chase.
33/38: Bonus Driver 2: Tech Companies Are Buying Fintechs

Many tech companies have sizeable, highly engaged user bases and are masters at upselling. There’s a reason why the best tech companies (especially SaaS) are able to predictably grow revenue/customer year-over-year.
34/38: Adding fintech products to a tech company’s offerings can result in 1 plus 1 actually equaling 3. Their highly engaged users are often receptive to buying bundled or integrated products and cheap distribution and servicing is transformative to the economic equation.
35/38: In the tech world, B2B acquisitions are generally easier than B2C acquisitions. In the B2B world, feature completeness and the value of built-in distribution is easy to understand. It’s harder to jam B2C companies together for various reasons.
36/38: The result

What’s become increasingly clear is that “selling to a strategic buyer” has become another exit option for Founders and Investors. Adding exit options theoretically increases the expected value of the distribution of outcomes.
37/38: If too many startups choose to exercise this option then value will shift from Investors and Founders to Strategics. But if the absolute best-of-the-best startups stick it out then Investors and Founders might be better off due to shorter duration and re-risked outcomes.
38/38: TL;DR: Banks cannot grow without innovating and internal innovation efforts aren’t getting the job done. The fintech ecosystem is where innovation is happening and it’s now big enough to threaten banks and impossible to ignore. The net result is that buyers are back!!!

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More from @fintechjunkie

21 Jul
Yesterday I tweeted an unpopular opinion that deserves unpacking.

Valuations are up. Unicorns are getting birthed faster than ever before. Multiples have hit all-time peaks. New investors are aggressively entering the VC ecosystem.

Who’s to blame? What does it mean? Unpacked:
2/30: VC is an asset class. Many people don’t think of it that way but it is. And it isn’t a big asset class. It’s small relative to other major asset classes like publicly traded stocks, bonds, currency or real estate. But the VC asset class is growing quickly and accelerating.
3/30: One driving factor is that alpha has mostly disappeared from the stock market. The vast majority of return can be attributed to a few stocks each year and only 1 in 25 stocks are investments worthy holding over the long-term (relative to Treasuries).
Read 30 tweets
19 Jul
After months of hard work you’ve managed to raise a comfortable amount of new of capital for your #startup. Now what?

A simple thread for Founders and VCs about shifting from a “need to raise” to a “need to prove” mindset.
2/21: Preamble: Not all businesses are venture backable. If the size/outcome potential is too small then raising VC money and running a VC backed startup playbook might not make sense. This thread is meant as good, generic advice for early/mid stage VC backed businesses.
3/21: Venture investing is very simple at its core. VCs invest in Founders who are building businesses that solve big problems.

Every Founder’s pitch describes a large profound problem, their solution to the problem, and the financials the business will generate over time.
Read 21 tweets
16 Jul
If you want to constantly produce top quartile returns, you have to find at least one “return the fund” (RTF) investment every fund.

Here’s a simple exercise that’s helped me spot 1-2 RTFs every fund:
2/20: Step 1: Run the Math

It always starts with sizing what a company’s enterprise valuation has to look like upon exit for it to become a RTF investment. Fund strategy and size dictate what type of game you need to hunt.
3/20: Having an investment RTF within a portfolio that has a small number of logos w/follow-on capital concentrated in the better companies is a different challenge than having an angel investment RTF in a “One check and done” portfolio.
Read 20 tweets
14 Jul
"There are only two ways to make money in business. One is to bundle and the other is to unbundle."

A thread on this powerful but very mis-understood concept:
2/22: The practice of bundling is pretty intuitive: It focuses on combining multiple value propositions into a single, integrated offering.

Unbundling is the opposite: It focuses on untethering a single value proposition from a combined offering.
3/22: When constructed properly, the benefits of bundling are intuitive:

Customers can buy a suite of contextually relevant products/services through a single provider/buying process.

Providers can improve the LTV/customer by selling a bundle vs. a single product.
Read 22 tweets
10 Jul
There’s no denying that right now a lot of money is flooding into #startups. A lot!

But the money won’t always be there. What will happen once the cash stops flowing? Will there be a wave of startups forced to close shop or are there other possible outcomes? A few thoughts 👇
2/13: Answering this question isn’t easy because every startup’s situation is unique. But I can share a framework that can be used to help think through the possible outcomes.

I call the framework “Climbing the Relevance Curve” and it has three simple questions at its core.
3/13: Question 1: Will anyone notice?

At the foundation of the concept of “relevance” is the notion that a startup is either relevant or irrelevant through the lens of a counterparty. You don’t get to decide this. The market does.
Read 13 tweets
9 Jul
Poker, Peloton and Pulp Fiction. A game, a company and a movie. I’ve learned major life lessons from all 3.

Here’s the single biggest takeaway from each that helps me in my professional life.
2/14: Poker – Focus on the process, not the outcome

We all make decisions every day. Its not atypical for an average person to make thousands of small decisions in a 24-hour period and people in positions of authority make big decisions all the time.
3/14: Poker teaches that outcomes are a function of decisions and luck. Poor decisions that result in positive outcomes should be treated as a bad decisions and should be avoided. Good decisions that result in negative outcomes should be repeated.
Read 14 tweets

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