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Mar 14, 2021 · 22m · top-founders

They Refinanced $250m in Auto Loans Last Year, Make Money 3 Ways

Kevin Bennett · 13m spoken Nathan Latka · 6m spoken Eric Yuan · 4s spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this interview, MotoRefi CEO Kevin Bennett discusses how the fintech startup scaled to over $250 million in automotive loan refinancings by modernizing vehicle debt through an automated lending marketplace. Bennett details the company's three-part revenue model, capital-efficient marketplace approach, and mission to deliver substantial monthly savings to American households.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 34.2% of the talking time here. How this is scored →

Nathan as informed peer 4.8 Guest teaching 3.8 Guest disagreement 1.4 Nathan pushing back 4.0
05100:0010:0020:003:31–9:08 · Nathan as informed peer 4/10 Refinancing Volume Growth and COVID Pandemic Impact Latka pushes for specific metrics such as breaking a billion dollars in volume and exact customer counts. Bennett politely deflects and focuses on broad macro tailwinds from COVID and the QED origin story.9:09–12:25 · Nathan as informed peer 6/10 Three Core Revenue Streams and Platform Operations Latka draws parallels to fintech business models like Lendio to clarify whether MotorRefi takes balance sheet risk. Bennett explains their three revenue lines and credit-matching marketplace mechanics.12:26–15:45 · Nathan as informed peer 4/10 Loan Sizes, Referral Percentages, and Efficiency Gains Latka admits unfamiliarity with consumer auto refi dynamics and guesses loan sizes are around ten thousand dollars. Bennett corrects him, detailing standard loan sizes of fifteen to thirty thousand dollars and an even split across their three revenue channels.15:45–19:18 · Nathan as informed peer 6/10 Macro Lending Climate and Proprietary Data Strategy Latka challenges Bennett on whether macro capital abundance will compress referral margins and does live math to calculate historical loan volumes from a six-times growth metric. Bennett counters by explaining auto loan attractiveness compared to other asset classes.19:18–22:51 · Nathan as informed peer 4/10 Famous Five: Favorite Books and Influential Leaders Latka conducts the Famous Five questionnaire, briefly interjecting to ask if Bennett would ever launch a captive balance sheet fund. Bennett sticks to his core focus strategy.3:31–9:08 · Guest teaching 3/10 Refinancing Volume Growth and COVID Pandemic Impact Latka pushes for specific metrics such as breaking a billion dollars in volume and exact customer counts. Bennett politely deflects and focuses on broad macro tailwinds from COVID and the QED origin story.9:09–12:25 · Guest teaching 4/10 Three Core Revenue Streams and Platform Operations Latka draws parallels to fintech business models like Lendio to clarify whether MotorRefi takes balance sheet risk. Bennett explains their three revenue lines and credit-matching marketplace mechanics.12:26–15:45 · Guest teaching 6/10 Loan Sizes, Referral Percentages, and Efficiency Gains Latka admits unfamiliarity with consumer auto refi dynamics and guesses loan sizes are around ten thousand dollars. Bennett corrects him, detailing standard loan sizes of fifteen to thirty thousand dollars and an even split across their three revenue channels.15:45–19:18 · Guest teaching 4/10 Macro Lending Climate and Proprietary Data Strategy Latka challenges Bennett on whether macro capital abundance will compress referral margins and does live math to calculate historical loan volumes from a six-times growth metric. Bennett counters by explaining auto loan attractiveness compared to other asset classes.19:18–22:51 · Guest teaching 2/10 Famous Five: Favorite Books and Influential Leaders Latka conducts the Famous Five questionnaire, briefly interjecting to ask if Bennett would ever launch a captive balance sheet fund. Bennett sticks to his core focus strategy.3:31–9:08 · Guest disagreement 2/10 Refinancing Volume Growth and COVID Pandemic Impact Latka pushes for specific metrics such as breaking a billion dollars in volume and exact customer counts. Bennett politely deflects and focuses on broad macro tailwinds from COVID and the QED origin story.9:09–12:25 · Guest disagreement 1/10 Three Core Revenue Streams and Platform Operations Latka draws parallels to fintech business models like Lendio to clarify whether MotorRefi takes balance sheet risk. Bennett explains their three revenue lines and credit-matching marketplace mechanics.12:26–15:45 · Guest disagreement 1/10 Loan Sizes, Referral Percentages, and Efficiency Gains Latka admits unfamiliarity with consumer auto refi dynamics and guesses loan sizes are around ten thousand dollars. Bennett corrects him, detailing standard loan sizes of fifteen to thirty thousand dollars and an even split across their three revenue channels.15:45–19:18 · Guest disagreement 2/10 Macro Lending Climate and Proprietary Data Strategy Latka challenges Bennett on whether macro capital abundance will compress referral margins and does live math to calculate historical loan volumes from a six-times growth metric. Bennett counters by explaining auto loan attractiveness compared to other asset classes.19:18–22:51 · Guest disagreement 1/10 Famous Five: Favorite Books and Influential Leaders Latka conducts the Famous Five questionnaire, briefly interjecting to ask if Bennett would ever launch a captive balance sheet fund. Bennett sticks to his core focus strategy.3:31–9:08 · Nathan pushing back 4/10 Refinancing Volume Growth and COVID Pandemic Impact Latka pushes for specific metrics such as breaking a billion dollars in volume and exact customer counts. Bennett politely deflects and focuses on broad macro tailwinds from COVID and the QED origin story.9:09–12:25 · Nathan pushing back 5/10 Three Core Revenue Streams and Platform Operations Latka draws parallels to fintech business models like Lendio to clarify whether MotorRefi takes balance sheet risk. Bennett explains their three revenue lines and credit-matching marketplace mechanics.12:26–15:45 · Nathan pushing back 4/10 Loan Sizes, Referral Percentages, and Efficiency Gains Latka admits unfamiliarity with consumer auto refi dynamics and guesses loan sizes are around ten thousand dollars. Bennett corrects him, detailing standard loan sizes of fifteen to thirty thousand dollars and an even split across their three revenue channels.15:45–19:18 · Nathan pushing back 5/10 Macro Lending Climate and Proprietary Data Strategy Latka challenges Bennett on whether macro capital abundance will compress referral margins and does live math to calculate historical loan volumes from a six-times growth metric. Bennett counters by explaining auto loan attractiveness compared to other asset classes.19:18–22:51 · Nathan pushing back 2/10 Famous Five: Favorite Books and Influential Leaders Latka conducts the Famous Five questionnaire, briefly interjecting to ask if Bennett would ever launch a captive balance sheet fund. Bennett sticks to his core focus strategy.

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

0:00 · Nathan 63.9% · guest 36.1%0:00 · Nathan 63.9% · guest 36.1%3:00 · Nathan 18.8% · guest 81.2%3:00 · Nathan 18.8% · guest 81.2%6:00 · Nathan 11.8% · guest 88.2%6:00 · Nathan 11.8% · guest 88.2%9:00 · Nathan 34.9% · guest 65.1%9:00 · Nathan 34.9% · guest 65.1%12:00 · Nathan 51.5% · guest 48.5%12:00 · Nathan 51.5% · guest 48.5%15:00 · Nathan 34.1% · guest 65.9%15:00 · Nathan 34.1% · guest 65.9%18:00 · Nathan 19.5% · guest 80.5%18:00 · Nathan 19.5% · guest 80.5%21:00 · Nathan 43.7% · guest 56.3%21:00 · Nathan 43.7% · guest 56.3%
Sharpest disagreement ▶ 11:41 Bennett deflects exact lending partner count

When Latka pushes for a specific range of lending partners, Bennett firmly keeps the number non-disclosed with a vague upper bound.

 Hardest push from Nathan ▶ 16:17 Latka reframes and re-asks lender margin squeeze question

Latka interrupts and clarifies his question after Bennett answers from the consumer standpoint rather than addressing bank referral fee compression.

 Biggest teaching moment ▶ 12:35 Bennett corrects Latka on auto refi ticket sizes

Latka assumes auto refis are around ten thousand dollars, but Bennett explains that typical loans range from fifteen to over thirty thousand dollars.

 Nathan holds their own ▶ 18:48 Latka calculates past and projected volume run rates

Latka takes Bennett's monthly revenue multiple to extrapolate exact 2019 baseline figures and 2021 forward volume targets.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Refinancing Volume Growth and COVID Pandemic Impact 4324 Latka pushes for specific metrics such as breaking a billion dollars in volume and exact customer counts. Bennett politely deflects and focuses on broad macro tailwinds from COVID and the QED origin story.
Three Core Revenue Streams and Platform Operations 6415 Latka draws parallels to fintech business models like Lendio to clarify whether MotorRefi takes balance sheet risk. Bennett explains their three revenue lines and credit-matching marketplace mechanics.
Loan Sizes, Referral Percentages, and Efficiency Gains 4614 Latka admits unfamiliarity with consumer auto refi dynamics and guesses loan sizes are around ten thousand dollars. Bennett corrects him, detailing standard loan sizes of fifteen to thirty thousand dollars and an even split across their three revenue channels.
Macro Lending Climate and Proprietary Data Strategy 6425 Latka challenges Bennett on whether macro capital abundance will compress referral margins and does live math to calculate historical loan volumes from a six-times growth metric. Bennett counters by explaining auto loan attractiveness compared to other asset classes.
Famous Five: Favorite Books and Influential Leaders 4212 Latka conducts the Famous Five questionnaire, briefly interjecting to ask if Bennett would ever launch a captive balance sheet fund. Bennett sticks to his core focus strategy.

Statements from this episode (13)

Assertion Supported
Bennett: MotoRefi completed over $250M in auto refinancings in 2020
“So we did over two hundred and fifty million dollars in refinancings last year, and we will do orders of magnitude above that this year.”
Kevin Bennett Mar 14, 2021 ▶ 3:41
Insight
Bennett: Low interest rates and COVID created tailwinds for auto refinancing
“I'd say slight tailwind. I mean, what you've seen is that consumers are looking you know, whether or not that they are personally impacted, they know people are impacted, they're thinking about their finances rates are relatively low. And so you've seen a lot …”
Kevin Bennett Mar 14, 2021 ▶ 4:24
Assertion Partly supported
Bennett: Auto loans represent a $1.2T asset class matching student loans
“And there was this great opportunity for a, you know, auto as an asset class over 1.2 trillion dollars, the same size student loans. But hadn't seen the same innovation.”
Kevin Bennett Mar 14, 2021 ▶ 8:29
Disclosure
Bennett: MotoRefi operates as a pure marketplace without balance-sheeting loans
“We're closer to the latter in that we are not balance sheeting any loans.”
Kevin Bennett Mar 14, 2021 ▶ 10:30
Assertion Not checkable as stated
Bennett: MotoRefi doubled its lender network on the platform in 2020
“So we don't release the aggregate numbers, but we doubled the number of lenders in the platform last year.”
Kevin Bennett Mar 14, 2021 ▶ 11:37
Assertion Supported
Bennett: Auto refinance loan sizes typically range from $15,000 to $30,000
“I mean, it could be, you know, 15 to 30 easily, sometimes north of 30.”
Kevin Bennett Mar 14, 2021 ▶ 12:42
Disclosure
Bennett: MotoRefi revenue splits evenly across origination, referrals, and product sales
“It's about even within each.”
Kevin Bennett Mar 14, 2021 ▶ 14:59
Assertion Not checkable as stated
Bennett: MotoRefi saves consumers $1,200 annually on auto refinancing net of fees
“The consumer, again, net of fees is saving a hundred dollars a month on, on the refinance. And that's 1200 dollars a year, obviously in real money.”
Kevin Bennett Mar 14, 2021 ▶ 15:16
Assertion Not checkable as stated
Bennett: MotoRefi software improves lender approval and funding rates by 20%
“We operate up to 20% more efficiently when it comes to approval rates and funding rates based on the data integrations we have based on the software we run.”
Kevin Bennett Mar 14, 2021 ▶ 15:24
Opinion
Bennett: Auto lending offers a better risk-return profile than other asset classes
“So we actually see auto as an asset class being more compelling relative to other asset classes based on the return and risk profile. So we see more emphasis in growth in, in auto lending actually these are the other other types of lending. So while there coul…”
Kevin Bennett Mar 14, 2021 ▶ 16:37
Disclosure
Bennett: MotoRefi has raised about $25M in total funding
“Raised about twenty-five million today.”
Kevin Bennett Mar 14, 2021 ▶ 17:31
Assertion Not checkable as stated
Bennett: MotoRefi grew monthly revenue 6X in 2020
“We announced it when we announced the round that we grew last year monthly revenue six X.”
Kevin Bennett Mar 14, 2021 ▶ 18:52
Prediction Not checkable as stated
Bennett predicts MotoRefi's 2021 growth will match or exceed its 2020 performance
“We are seeing things on a similar trajectory. So we're feeling really good about the growth. And we think this year is going to look a lot like last year, if not better.”
Kevin Bennett Mar 14, 2021 ▶ 19:10
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