Built to Sell Radio

The episode has a few genuinely useful data points (the Prescore burnout stats, the HVAC punctuality-to-close-rate correlation, the reframe of 'you're in lead gen, not roofing') but spends long stretches in generic AI optimism territory and common entrepreneurship advice about systems, delegation, and knowing your next chapter. Insight-per-minute is moderate at best.

“57% say too much stress versus 11% of the overall market. Uh, 41%. Take my take, my business is taking Too much time versus 13% of the overall”

“you've got a close rate of 60%. All you guys not turning up on time, the longer you leave it, the later you are. There's a direct correlation to close rate”

The most original moment is Lee's observation that PE firms are hiring AI heads largely to placate LPs rather than from genuine portfolio readiness - a candid, insider take. Everything else (AI needs data foundations, build systems, know your next chapter before selling) is well-worn B2B/exit content with no real contrarian edge.

“a lot of PE firms are hiring head of AI and it's tough. A lot of it is to placate LPs to say, we're great in AI”

“the average private equity business is an old boring business that spits out cash. It's a manufacturer in Ohio, you know, it's a, it's a distributor in Iowa”

Both guests are genuine practitioners - Lee has real PE advisory experience and Jason has built, sold, and sat on the buy side of agency M&A - making their opinions earned rather than theoretical. Neither is an elite or widely recognised operator and the conversation doesn't fully mine the depth their backgrounds could support.

“Lee McCabe, a private equity veteran who now advises PE firms on the businesses they buy”

“Jason Swank, who built marketing agencies and sat on the buy side, acquiring them”

The Prescore longitudinal data set and the named HVAC punctuality/close-rate example are concrete and useful, and Jason gives specific dollar figures for past website projects. However, most company examples are unnamed, the AI-uplift claims are asserted without supporting data, and several key points rely on anecdote or analogy rather than evidence.

“we've just done a big deep dive. There's a couple of things that are popping out today. One in five business owners say their primary reason for wanting to exit is burnout”

“most expensive website we ever did was close to a million bucks. Uh, my Jason Swank website, my, all my websites I've created, I've created in an hour with AI”

John earns credit for genuinely pushing back on his guests' AI optimism - invoking the Toronto law firm partner and the threat of 22-year-old AI-native founders - and the panel format creates real disagreement that the host actively exploits. However, closing questions default to 'how do they maximise value?' softballs, and several early questions are broad scene-setters rather than sharp probes.

“I just don't agree fundamentally with your perspective. I think you're both innovative and optimistic, but I just don't agree”

“But Jason, think about it like to use the analogy to extend it further, like they're getting tired and their eyesight's going and their reflexes are not what they were”