Smart Chickens A B2B SaaS Demand Gen Drives Innovation & Growth Podcast

The episode contains a genuine cluster of useful SaaS operating metrics and strategic framing (partner-led entry, proof-of-concept onboarding, customer advisory board as outsourced R&D), but these nuggets are buried in a 64-minute episode dominated by the host's lengthy personal tangents and throat-clearing. Insight-per-minute ratio is low.

“we are right now 25 million ARR...growing by like 50% annually. And this 25 million of us uh dollars of revenue of arriving, uh, we are achieving with only 5 million of investment”

“Our R and D team is outsourced to our customers”

A few genuinely interesting framings appear - customer preference centers as an alternative to AI guessing, and the argument that first-party data makes prediction unnecessary - but the bulk of the conversation recycles standard omnichannel and 'Frankenstein stack' discourse that circulates widely in the martech space.

“customer preference center actually I would say they even. It puts aside this kind of idea of AI and prediction because the customer, when you properly gather the zero and first party data in preference center that means that you don't need AI to guess, you don't need to guess”

“Our R and D team is outsourced to our customers”

Greg is a credible bootstrapped founder with real operating metrics and a clear strategic narrative; he built the company with genuine capital discipline. Daniel's role and depth are less defined throughout the conversation, but together they represent authentic practitioners rather than thought-leader generalists.

“we are right now 300 people. Uh, we are US$25 million ARR. We have. We are just kind of. We just run. We just published to our investors a plan to get to 100 million in the next five years”

“I noticed that already in the States companies like Pardot, Acton, uh, Marketo existed...those guys in the US were focusing on B2B2B companies. They were creating software for B2B companies...what was different here in Europe is that the uh, initial customer base were not B2B companies, they were B2C companies”

The episode delivers an unusually concrete set of company metrics - ARR, growth rate, total investment, CAC payback, average MRR, LTV, customer count, geographic split, NRR, headcount, and a named 5-year target - making it one of the more numerically grounded founder interviews in this space, even if supporting third-party evidence is thin and vaguely cited.

“our current, uh, average MRR is US$2,000. Right. And the lifetime, uh, lifetime around 50 months. And CAC? Well...the cac, we get our CAC paid back in four months”

“right now it's 2,600 customers. That's our base database of paying customers. Um, and really 90% of that is East Europe”

The host routinely delivers 400-600 word monologues that answer his own questions, pivots to unrelated personal anecdotes (H&M shopping trip, wife's gift shop, Pope John Paul II), and asks compound multi-part questions that allow guests to pick the easiest thread. There is almost no meaningful follow-up or pushback on any guest claim.

“I went into HM the other day as a short story. Uh, that's a good one for you guys to go after. We haven't. And right away I could tell they're very with. They're very, they're with it”

“And congratulations on Crocs. Uh, my kids love Crocs by the way”