Source
urlhttps://read.readwise.io/read/01kvxr9ym4s5mky6ww8av99s6p
rawraw/why-im-pivoting-my-saas-from-b2c-to-b2b.md

TL;DR: Perfect Interview.ai was making about $2K/month as a consumer job-search product, but its best-case user outcome created churn. The pivot is to sell the same technology to career coaches as white-label infrastructure — a narrower micro-saas market with deeper pockets, persistent pain, and higher LTV.

Biggest lessons

  • Revenue is not the same as a scalable business. $2K/month felt exciting as a side hustle, but split between co-founders it was not enough to justify full-time commitment.
  • Success-triggered churn kills consumer LTV. If Perfect Interview works, the user lands a job and stops needing it — the product behaves more like a dating app than a durable utility.
  • A generic target customer hides the actual buyer. “All job seekers” and “all knowledge workers” made prior products too broad to differentiate; building for everyone meant building for nobody.
  • B2B can turn a short-term tool into workflow infrastructure. Career coaches already run mock interviews, grade answers, and give feedback; white-label AI practice tools could remove 80-90% of that manual work.
  • Build for persons, not personas. The team started with two real career coaches who asked for the product instead of inventing a broad market segment from a slide deck.

Why it matters

  • This source adds a concrete pivot pattern to idea-validation: if consumer usage is real but churn is structural, look for an adjacent business customer whose pain repeats every week.
  • It sharpens micro-saas by showing that “narrow” should mean a real buyer with a recurring workflow, not just a small demographic label.
  • It reframes paid-ads-scaling: low-LTV B2C can make ads look impossible, while the right B2B packaging may support the same CAC.

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