Mar 9, 2019 · 50m · a16z

3 Ways Startups Are Coming for Established Fintech Companies -- And What To Do About It

Alex Rampell · 36m spoken Frank Chen · 8m spoken
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In this Andreessen Horowitz video, Alex Rampell and Frank Chen analyze the strategic wedges fintech startups use to disrupt established institutions and detail defensive frameworks including sub-branding, turndown traffic monetization, and targeted M&A.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

The host as informed peer 3.8 Guest teaching 6.3 Guest disagreement 1.2 The host pushing back 1.7
05100:0015:0030:0045:001:57–14:05 · The host as informed peer 4/10 Wedge 1: Winning the Most Profitable Customers Frank frames the discussion around incumbent vulnerabilities and offers personal examples like his cautious Prius driving habits to illustrate low-risk customer profiles. Alex provides a deep dive into risk pools, explaining how positive selection lets startups cherry-pick profitable customers from incumbent cross-subsidies. The discussion remains completely collaborative and educational.14:05–25:21 · The host as informed peer 4/10 Wedge 2: Generating New Data Sources Frank actively contributes specific findings from his own research on machine learning credit scoring variables. Alex details usury laws, regulatory constraints under US fair lending, and alternative mobile data underwriting strategies used by startups like Branch. Both speakers build on each other's points seamlessly without conflict.25:21–32:56 · The host as informed peer 4/10 Wedge 3: Changing Customer Behavior Frank introduces Earn-In as a key example and later connects social accountability mechanisms to behavioral health management programs. Alex articulates how startups can re-underwrite dynamic customer behavior and leverage social pressure mechanisms to transform subprime risks into profitable accounts. The dynamic is exploratory and supportive.32:56–38:51 · The host as informed peer 3/10 Incumbent Defense: Sub-Branding and Customer Segmentation Frank asks how incumbents should respond and highlights the counterintuitive nature of choosing multi-brand segmentation over single-brand scale. Alex explains how incumbents can deploy sub-brands to target specific demographic niches without diluting their primary brand. Frank gently probes the strategic friction between scale and sub-branding.38:51–42:01 · The host as informed peer 3/10 Incumbent Defense: Monetizing 'Turn Down' Traffic Frank prompts Alex on how incumbents can construct co-selling relationships with emerging startups. Alex lays out the strategy of monetizing rejected applicant traffic by directing them to specialized underwriting startups, drawing a parallel to Amazon's ad strategy. Frank quickly highlights how this strategy monetizes spent customer acquisition costs.42:01–49:29 · The host as informed peer 5/10 Lightning Round: Investment and M&A Strategies for Incumbents Frank conducts a rapid-fire lightning round on corporate investment and M&A tactics, pushing back on the feasibility of hiring failed founders to manage successful internal executives. Alex delivers a contrarian view on acquiring talent from failed startups and evaluating process over outcome. Frank reinforces his position by referencing Annie Duke's decision theory on evaluating bets.1:57–14:05 · Guest teaching 7/10 Wedge 1: Winning the Most Profitable Customers Frank frames the discussion around incumbent vulnerabilities and offers personal examples like his cautious Prius driving habits to illustrate low-risk customer profiles. Alex provides a deep dive into risk pools, explaining how positive selection lets startups cherry-pick profitable customers from incumbent cross-subsidies. The discussion remains completely collaborative and educational.14:05–25:21 · Guest teaching 7/10 Wedge 2: Generating New Data Sources Frank actively contributes specific findings from his own research on machine learning credit scoring variables. Alex details usury laws, regulatory constraints under US fair lending, and alternative mobile data underwriting strategies used by startups like Branch. Both speakers build on each other's points seamlessly without conflict.25:21–32:56 · Guest teaching 6/10 Wedge 3: Changing Customer Behavior Frank introduces Earn-In as a key example and later connects social accountability mechanisms to behavioral health management programs. Alex articulates how startups can re-underwrite dynamic customer behavior and leverage social pressure mechanisms to transform subprime risks into profitable accounts. The dynamic is exploratory and supportive.32:56–38:51 · Guest teaching 6/10 Incumbent Defense: Sub-Branding and Customer Segmentation Frank asks how incumbents should respond and highlights the counterintuitive nature of choosing multi-brand segmentation over single-brand scale. Alex explains how incumbents can deploy sub-brands to target specific demographic niches without diluting their primary brand. Frank gently probes the strategic friction between scale and sub-branding.38:51–42:01 · Guest teaching 6/10 Incumbent Defense: Monetizing 'Turn Down' Traffic Frank prompts Alex on how incumbents can construct co-selling relationships with emerging startups. Alex lays out the strategy of monetizing rejected applicant traffic by directing them to specialized underwriting startups, drawing a parallel to Amazon's ad strategy. Frank quickly highlights how this strategy monetizes spent customer acquisition costs.42:01–49:29 · Guest teaching 6/10 Lightning Round: Investment and M&A Strategies for Incumbents Frank conducts a rapid-fire lightning round on corporate investment and M&A tactics, pushing back on the feasibility of hiring failed founders to manage successful internal executives. Alex delivers a contrarian view on acquiring talent from failed startups and evaluating process over outcome. Frank reinforces his position by referencing Annie Duke's decision theory on evaluating bets.1:57–14:05 · Guest disagreement 1/10 Wedge 1: Winning the Most Profitable Customers Frank frames the discussion around incumbent vulnerabilities and offers personal examples like his cautious Prius driving habits to illustrate low-risk customer profiles. Alex provides a deep dive into risk pools, explaining how positive selection lets startups cherry-pick profitable customers from incumbent cross-subsidies. The discussion remains completely collaborative and educational.14:05–25:21 · Guest disagreement 1/10 Wedge 2: Generating New Data Sources Frank actively contributes specific findings from his own research on machine learning credit scoring variables. Alex details usury laws, regulatory constraints under US fair lending, and alternative mobile data underwriting strategies used by startups like Branch. Both speakers build on each other's points seamlessly without conflict.25:21–32:56 · Guest disagreement 1/10 Wedge 3: Changing Customer Behavior Frank introduces Earn-In as a key example and later connects social accountability mechanisms to behavioral health management programs. Alex articulates how startups can re-underwrite dynamic customer behavior and leverage social pressure mechanisms to transform subprime risks into profitable accounts. The dynamic is exploratory and supportive.32:56–38:51 · Guest disagreement 1/10 Incumbent Defense: Sub-Branding and Customer Segmentation Frank asks how incumbents should respond and highlights the counterintuitive nature of choosing multi-brand segmentation over single-brand scale. Alex explains how incumbents can deploy sub-brands to target specific demographic niches without diluting their primary brand. Frank gently probes the strategic friction between scale and sub-branding.38:51–42:01 · Guest disagreement 1/10 Incumbent Defense: Monetizing 'Turn Down' Traffic Frank prompts Alex on how incumbents can construct co-selling relationships with emerging startups. Alex lays out the strategy of monetizing rejected applicant traffic by directing them to specialized underwriting startups, drawing a parallel to Amazon's ad strategy. Frank quickly highlights how this strategy monetizes spent customer acquisition costs.42:01–49:29 · Guest disagreement 2/10 Lightning Round: Investment and M&A Strategies for Incumbents Frank conducts a rapid-fire lightning round on corporate investment and M&A tactics, pushing back on the feasibility of hiring failed founders to manage successful internal executives. Alex delivers a contrarian view on acquiring talent from failed startups and evaluating process over outcome. Frank reinforces his position by referencing Annie Duke's decision theory on evaluating bets.1:57–14:05 · The host pushing back 1/10 Wedge 1: Winning the Most Profitable Customers Frank frames the discussion around incumbent vulnerabilities and offers personal examples like his cautious Prius driving habits to illustrate low-risk customer profiles. Alex provides a deep dive into risk pools, explaining how positive selection lets startups cherry-pick profitable customers from incumbent cross-subsidies. The discussion remains completely collaborative and educational.14:05–25:21 · The host pushing back 1/10 Wedge 2: Generating New Data Sources Frank actively contributes specific findings from his own research on machine learning credit scoring variables. Alex details usury laws, regulatory constraints under US fair lending, and alternative mobile data underwriting strategies used by startups like Branch. Both speakers build on each other's points seamlessly without conflict.25:21–32:56 · The host pushing back 1/10 Wedge 3: Changing Customer Behavior Frank introduces Earn-In as a key example and later connects social accountability mechanisms to behavioral health management programs. Alex articulates how startups can re-underwrite dynamic customer behavior and leverage social pressure mechanisms to transform subprime risks into profitable accounts. The dynamic is exploratory and supportive.32:56–38:51 · The host pushing back 2/10 Incumbent Defense: Sub-Branding and Customer Segmentation Frank asks how incumbents should respond and highlights the counterintuitive nature of choosing multi-brand segmentation over single-brand scale. Alex explains how incumbents can deploy sub-brands to target specific demographic niches without diluting their primary brand. Frank gently probes the strategic friction between scale and sub-branding.38:51–42:01 · The host pushing back 1/10 Incumbent Defense: Monetizing 'Turn Down' Traffic Frank prompts Alex on how incumbents can construct co-selling relationships with emerging startups. Alex lays out the strategy of monetizing rejected applicant traffic by directing them to specialized underwriting startups, drawing a parallel to Amazon's ad strategy. Frank quickly highlights how this strategy monetizes spent customer acquisition costs.42:01–49:29 · The host pushing back 4/10 Lightning Round: Investment and M&A Strategies for Incumbents Frank conducts a rapid-fire lightning round on corporate investment and M&A tactics, pushing back on the feasibility of hiring failed founders to manage successful internal executives. Alex delivers a contrarian view on acquiring talent from failed startups and evaluating process over outcome. Frank reinforces his position by referencing Annie Duke's decision theory on evaluating bets.

speaking balance: gold is the host, purple is the guest (3 minute bins)

0:00 · the host 0% · guest 100%0:00 · the host 0% · guest 100%3:00 · the host 0% · guest 100%3:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%6:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%9:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%12:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%15:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%18:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%21:00 · the host 0% · guest 100%24:00 · the host 0% · guest 100%24:00 · the host 0% · guest 100%27:00 · the host 0% · guest 100%27:00 · the host 0% · guest 100%30:00 · the host 0% · guest 100%30:00 · the host 0% · guest 100%33:00 · the host 0% · guest 100%33:00 · the host 0% · guest 100%36:00 · the host 0% · guest 100%36:00 · the host 0% · guest 100%39:00 · the host 0% · guest 100%39:00 · the host 0% · guest 100%42:00 · the host 0% · guest 100%42:00 · the host 0% · guest 100%45:00 · the host 0% · guest 100%45:00 · the host 0% · guest 100%48:00 · the host 0% · guest 100%48:00 · the host 0% · guest 100%
Sharpest disagreement ▶ 45:40 Alex Advocates Appointing Failed Founders Over Corporate Execs

Alex deliberately presents a provocative, contrarian M&A strategy, acknowledging that placing failed startup founders above established corporate executives is 'breaking glass' within traditional organizations.

Hardest push from the host ▶ 46:05 Frank Challenges Corporate Feasibility of Promoting Failed Founders

Frank directly challenges Alex's M&A recommendation, pointing out the severe organizational resistance and structural contradiction of rewarding a failed external founder over successful internal executives.

Biggest teaching moment ▶ 5:40 Alex Explains Negative Selection and Probabilistic Customer Economics

Alex re-frames traditional business growth logic by explaining why accumulating more customers can actually ruin profitability in risk-pool models like insurance, unlike standard retail product sales.

The host holds their own ▶ 24:15 Frank Cites Specific Counterintuitive Machine Learning Credit Predictors

Frank demonstrates deep domain familiarity by citing specific, non-obvious data points from his own machine learning research, such as battery consumption rates and text messaging ratios.

the scores for every segment, with the reasoning behind each
ChapterTopicThe host as informed peerGuest teachingGuest disagreementThe host pushing backWhy
Wedge 1: Winning the Most Profitable Customers 4711 Frank frames the discussion around incumbent vulnerabilities and offers personal examples like his cautious Prius driving habits to illustrate low-risk customer profiles. Alex provides a deep dive into risk pools, explaining how positive selection lets startups cherry-pick profitable customers from incumbent cross-subsidies. The discussion remains completely collaborative and educational.
Wedge 2: Generating New Data Sources 4711 Frank actively contributes specific findings from his own research on machine learning credit scoring variables. Alex details usury laws, regulatory constraints under US fair lending, and alternative mobile data underwriting strategies used by startups like Branch. Both speakers build on each other's points seamlessly without conflict.
Wedge 3: Changing Customer Behavior 4611 Frank introduces Earn-In as a key example and later connects social accountability mechanisms to behavioral health management programs. Alex articulates how startups can re-underwrite dynamic customer behavior and leverage social pressure mechanisms to transform subprime risks into profitable accounts. The dynamic is exploratory and supportive.
Incumbent Defense: Sub-Branding and Customer Segmentation 3612 Frank asks how incumbents should respond and highlights the counterintuitive nature of choosing multi-brand segmentation over single-brand scale. Alex explains how incumbents can deploy sub-brands to target specific demographic niches without diluting their primary brand. Frank gently probes the strategic friction between scale and sub-branding.
Incumbent Defense: Monetizing 'Turn Down' Traffic 3611 Frank prompts Alex on how incumbents can construct co-selling relationships with emerging startups. Alex lays out the strategy of monetizing rejected applicant traffic by directing them to specialized underwriting startups, drawing a parallel to Amazon's ad strategy. Frank quickly highlights how this strategy monetizes spent customer acquisition costs.
Lightning Round: Investment and M&A Strategies for Incumbents 5624 Frank conducts a rapid-fire lightning round on corporate investment and M&A tactics, pushing back on the feasibility of hiring failed founders to manage successful internal executives. Alex delivers a contrarian view on acquiring talent from failed startups and evaluating process over outcome. Frank reinforces his position by referencing Annie Duke's decision theory on evaluating bets.

Statements from this episode (13)

Insight
Fintech startups attack incumbents by targeting their best customers
“One way they come for me is they come after my best customers.”
Frank Chen Mar 9, 2019 ▶ 1:53
Insight
In insurance and lending, acquiring fewer, profitable customers beats raw volume
“It really is a unique industry where more customers is actually worse than less but more profitable customers because each incremental customer is like a coin flip of profit or loss.”
Alex Rampell Mar 9, 2019 ▶ 6:30
Assertion Not checkable as stated
Rampell identifies SoFi as the pioneer of positive selection bias in fintech
“The first company to probably do this on a widespread basis in fintech land was SoFi.”
Alex Rampell Mar 9, 2019 ▶ 8:11
Insight
A borrower's willingness to repay is as crucial as their financial ability
“Behind every credit score, if you think about how that works, it's willingness and ability to repay. And the psychological trait of the willingness is, in many cases, as important as the financial constraint of the ability.”
Alex Rampell Mar 9, 2019 ▶ 10:50
Insight
Rampell: APR is a misleading metric for short-term microloans
“That's a lot of money, or a lot of interest on an APR basis, but it's the wrong metric, because effectively it's like trying to figure out what your marathon time is based on your hundred meter dash.”
Alex Rampell Mar 9, 2019 ▶ 20:07
Insight
Rampell: Nurturing positive customer behavior drives fintech profitability
“If you can actually try to nurture better behavior, you actually see better, you do see better behavior, and then the profitability goes up.”
Alex Rampell Mar 9, 2019 ▶ 29:44
Insight
Rampell: Peer accountability drives loan repayment better than corporate collections
“If you are kind of held accountable by your peers, that is so much more powerful than getting a collections call from Citibank.”
Alex Rampell Mar 9, 2019 ▶ 32:15
Insight
Rampell: Sub-Brands Beat Monolithic Branding in Financial Services
“So in many cases, it actually helps to have sub brands and divide this up, which is, is somewhat anathema to a lot of companies that want to say, how do we get as much efficiency and synergy as possible? We're going to have one overarching brand.”
Alex Rampell Mar 9, 2019 ▶ 34:30
Assertion Partly supported
Rampell: Geico spends $1.2B annually on advertising
“Geico spends 1.2 billion dollars a year on advertising.”
Alex Rampell Mar 9, 2019 ▶ 40:09
Disclosure
Rampell: a16z prefers startups not dependent on incumbents for customer acquisition
“We don't always like this because we want to see, do you have your own acquisition strategies, your own acquisition channels? You're not dependent on the big company.”
Alex Rampell Mar 9, 2019 ▶ 40:25
Insight
Rampell: Slow corporate decision-making guarantees adverse selection in venture deals
“If you take nine weeks to make a decision and like, you know, we'll decide within a day or Sequoia or Benchmark or some other great venture capital firm, we'll decide within a day, like you're not going to get good deals if you take nine weeks.”
Alex Rampell Mar 9, 2019 ▶ 42:28
Assertion Not checkable as stated
Rampell: VC firms lack the instant customer distribution scale of incumbents
“Like venture capital firms don't have that. I can't fund somebody and send them a million customers tomorrow, but Geico could.”
Alex Rampell Mar 9, 2019 ▶ 44:18
Insight
Rampell: Acquiring failed startups requires weighting past outcomes near zero
“And the key thing to make this strategy work is you actually want to over allocate on process and you want to weight outcome to almost zero because you're buying the outcomes that were in fact zero.”
Alex Rampell Mar 9, 2019 ▶ 49:02
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