Summary
This play identifies active customers showing signs of declining engagement or adoption. With timely outreach and targeted support, you can re-engage these accounts before they churn.
Why this works
Surfaces accounts that are slipping before it’s too late
Personalizes retention strategy based on real product signals
Reinforces value and prevents passive drop-off
Goal
(1) For the reader
Proactively re-engage customers showing signs of disengagement to stabilize adoption and improve retention.
(2) For the company
Reduce churn by catching at-risk accounts early and guiding them back toward successful usage.
Accoil Signal
(1) Primary signal
Account = Active paying customer
Engagement is declining over time
Usage of core product features is infrequent
Activity levels are noticeably lower than before
(2) Additional insights
Customer is in the early lifecycle stage
Key workflows or setup steps are incomplete
Account is marked as high potential or strategic
Action steps
Use Accoil filters to surface accounts with:
Declining engagement signals
Minimal recent feature activity
Lifecycle stage tagged as early
Send a Health Check Message
Use connections to send insights to the tools your team uses
Reach out with a friendly check-in
Acknowledge the drop in activity
Offer quick ways to get back on track (e.g., top 2 actions or walkthroughs)
Share product tips or short video guides
Recommend 1–2 underused features based on their role or industry
Personalize suggestions using recent activity
Optional: Add Incentive
Offer a live support session or strategy review
Unlock temporary access to premium workflows
Acknowledge milestone progress with a boost to continue
Track Movement
Use Accoil to monitor post-touch engagement changes
Flag non-responsive accounts for CS or success team routing
Add feedback to refine the churn playbook
Supporting metrics
Metrics | How to measure in Accoil |
Re-engagement Rate | % of accounts showing activity recovery post-outreach |
Retention of At-Risk Accounts | % of flagged accounts that remain active over time |
Feature Adoption Shift | Increase in usage of core features post-touch |
Escalation Coverage | % of flagged accounts handed off to CS when needed |