A B2B fitness platform with 9,000 business customers had been quoted $100K/year for full analytics coverage. A scoped onboarding diagnostic built the data foundation they actually needed for $110/month — and confirmed a $2,400 per-customer LTV gap tied to activation.
The platform had 9,000 fitness business customers across 80 countries. Leadership knew onboarding was their biggest retention lever — it was the #1 complaint on every review platform. What they didn’t know was where exactly it broke, or how to quantify what fixing it would be worth.
A previous analytics review had produced a quote of $100,000/year for full-platform tracking. That killed the project. The organisation was capital-efficient by design — total funding raised was under $15M — and $100K for dashboards that didn’t answer the specific question they had wasn’t something leadership would approve.
The result was decisions made by opinion. Every conversation about onboarding — what to change, what to prioritise, where the friction was — happened without data. The hypothesis was right (poorly-onboarded customers churn faster) but the hypothesis was unproven. You can’t run a prioritised experiment backlog on a hypothesis you can’t measure.
A scoped corporate onboarding diagnostic — three weeks, fixed fee, focused entirely on the business customer journey from signup to activation.
A complete data foundation for onboarding decisions — not a presentation, a working analytics system plus the context to use it.
Your onboarding decisions are now grounded in data you can show a board. The activation rate is a number, not an estimate. The drop-off points are specific — not “somewhere in setup,” but “the membership type configuration step, which 67% of non-activating customers abandon without completing.” The conversation about what to fix first is different when you have that.
The LTV gap is now a financial argument, not a product intuition. $2,400 per customer in recovered lifetime revenue from activation improvement is a number you can attach to engineering investment. A 1% activation rate improvement on 2,000 new customers per year is $48,000/year. That pays back a $6K diagnostic in 6 weeks.
The analytics cost problem is solved. $110/month for onboarding-only tracking vs. $100K/year for full platform coverage isn’t a better deal on the same product — it’s a different product that answers the specific question that mattered. The lesson isn’t “PostHog is cheaper than Amplitude.” It’s that scoping changes the cost by two orders of magnitude.
10 years building growth systems for B2B SaaS companies at $1M–$50M ARR. BSc Behavioural Psychology, MSc Data Science. This engagement required designing an event taxonomy from scratch, configuring a scoped analytics environment, and building cohort retention analysis — while keeping the scope tight enough to be deliverable in three weeks at a price the organisation’s cost culture would approve.
A two-week diagnostic covering your full onboarding funnel — where it breaks, why it breaks, and what to fix first — with your activation event defined and instrumented at the end.
If your activation rate is an estimate and your drop-off points are vague, the problem isn’t engineering capacity. It’s that you’re building without data. An onboarding diagnostic scoped to your B2B layer typically takes 2–3 weeks. The conversation to scope it takes 15 minutes.