Mar 04, 2026
Churn signals wired into customer success
A B2B SaaS team was losing logos with no early warning — we plugged product-usage and support signals into a risk score the CS team uses every Monday morning.
Gross revenue retention
↑
Duration
10 weeks
Team
2 people
Challenge
Customer Success ran on QBR cadence and gut feel. By the time an account was flagged as at-risk, the renewal conversation was already lost.
Solution
We built a risk-score pipeline on the existing stack (Segment, Zendesk, HubSpot), with an AI layer that summarized the "why" behind each risk and suggested a next action.
Outcome
CSMs started every week with a ranked at-risk list and a concrete reason per account. Saves in the first quarter paid back the project.
What was happening
The CS team was staffed well and talked to customers often — but the signal that mattered (product adoption sliding, tickets spiking, champion leaving) was scattered across three tools and nobody's dashboard.
Renewals kept surprising leadership. Not because the data was missing — because nobody had time to triangulate it.
What changed
We wired Segment events, Zendesk tickets and HubSpot activity into a single score per account, then wrapped it in an AI explanation layer that told the CSM exactly why the score moved.
The Monday ranked list replaced the QBR-cadence instincts. CSMs act early instead of reactively.
- Risk score built on 11 product, support and commercial signals
- Weekly AI-generated "why this account" summary per flagged logo
- Next-best-action recommendation tied to playbooks the CS team already runs
AI Transformation, Process Optimization & Cost Efficiency