CRM / RevTech
NRR falling as AI made customers efficient with fewer seats was reversed with a hybrid usage model.
The challenge
A revenue-intelligence platform saw NRR decline from 118% to 102% over 18 months. The driver: enterprise customers achieved more with fewer RevOps staff as AI automated pipeline analysis, forecasting and coaching. Seat counts fell at renewal, and there was no mechanism to capture the value of rising AI consumption as headcount dropped.
The approach
Each step below is a step of PROFIT+, named so you can see which part of the method did the work.
- Research
Mapped usage data to find which AI features drove the highest engagement and correlation with outcomes like win rate and forecast accuracy.
- Optimise
Designed a hybrid model: a per-seat base for core CRM, plus a usage tier for AI activity.
- Track
Modelled the NRR impact of the hybrid model against seat-only across the customer base.
- Implement
Built a migration path and communication strategy framing the change as value alignment rather than a price rise.
The outcome
- NRR trajectory reversed, stabilising at 110% within two quarters.
- Customers who adopted the AI usage tier showed higher retention and satisfaction.
- New-customer acquisition improved with a lower initial commitment and natural expansion built in.
In one line
A CRM company's NRR was falling as AI made customers efficient with fewer seats. We designed a hybrid model that captured the value of AI consumption, and NRR recovered from 102% to 110% within two quarters.
Relevant to Growth teams · CRM / Revenue Intelligence
Could this be your pricing?
Most of these outcomes started with one 30-minute call and a look at the price card.
More work
All case studiesA product-market-pricing fit crisis turned into 106% ARR growth by re-anchoring the price to fundraising outcomes.
One pricing tier for everyone became three, aligned to value, adding $4.5M ARR from existing customers.
Overlapping tiers buyers couldn't tell apart became clear, value-differentiated ones, lifting ASP 17%.