Pulse came to me with a good problem and a bad problem tangled together. The good problem: their NPS sat around 58, well above the B2B SaaS median, and support tickets were mostly feature requests, not complaints. The bad problem: revenue growth had flattened for three straight quarters despite the product getting objectively better with every release.
The founding team's working theory was churn. It usually is. So the first two weeks were not spent in a strategy workshop — they were spent in the data, and on calls with twenty-two customers who had been with Pulse for at least a year.
The real problem wasn't churn
Churn was fine. Actually below category average. The problem was expansion — or the total absence of it. Customers landed on a plan in year one and stayed on that exact plan in year three, using three times the product they started with, paying the same invoice. Pulse had built something people wouldn't leave and had no mechanism for capturing the value that loyalty represented.
Digging into the plan structure explained why. Pricing was seat-based, flat, and set by a founder's gut call eighteen months earlier. It didn't track to any unit that grew as a customer's usage grew — no tie to data volume, integrations connected, or the workflows that had quietly become mission-critical inside these accounts. Customers had every incentive to keep using more of the product and zero mechanism connecting that usage back to what they paid.
Repositioning around the actual buyer
The second issue sat one layer up: Pulse's ideal customer profile, as written in their sales deck, described the persona who signed the first contract — usually an ops manager evaluating a point tool. But the accounts that expanded organically, the ones with the healthiest usage curves, were being driven by a different buyer entirely: a VP of Ops or a COO who cared about cross-team visibility, not the original narrow use case.
Sales and marketing were still pitching the point-tool story to the point-tool buyer, while the product had quietly outgrown that framing. Every new deal reinforced the low-ceiling positioning instead of breaking out of it.
What changed
- Rebuilt the pricing model around a usage metric tied directly to expanding value — not seats, which caps the account at headcount rather than adoption.
- Repositioned the ICP and go-to-market narrative around the cross-functional buyer who was already driving the best expansion, rather than the narrow persona in the original sales deck.
- Rebuilt the onboarding flow so new accounts hit their "aha moment" inside the first session instead of the first month, closing the gap between signup and habitual use.
- Introduced a lightweight account health score visible to the customer success team, flagging expansion-ready accounts before they asked, instead of waiting for a renewal conversation to surface the opportunity.
The product was never the problem. Pulse had built something genuinely sticky. What was missing was a business model with a memory — one that captured the value being created instead of freezing it at the moment of first contract.
None of this was a single quarter's work. Pricing changes touched legal, finance, and customer success, and grandfathering existing accounts fairly took real care — get that wrong and you turn your best customers into your loudest critics. We ran the new model with new customers first, watched conversion and expansion for two full sales cycles, then migrated existing accounts on their renewal dates with plenty of notice and a clear value story, not a rate hike disguised as one.
The result
Eighteen months on, net revenue retention moved from just under 100% to 2.3×, meaning the existing customer base alone was now growing revenue faster than most companies' entire new-logo motion. ARR was up 180% over the same period, split roughly evenly between new bookings under the repositioned ICP and expansion inside the base. Churn actually dropped another 40%, which wasn't the target — it was the byproduct of customers finally paying for the value they were already getting, which made the relationship feel fair instead of extractive.
+180%
ARR growth
2.3×
Net revenue retention
-40%
Churn reduction
