Retention
Win back high-value customers before they are gone for good.
Datajar identifies customers showing churn signals — declining order frequency, dropping spend, long inactivity — and triggers personalised win-back sequences automatically, before the customer is lost.
See it in action
app.datajar.co
"Trigger a win-back sequence for high-value cohorts inactive for 45+ days."
Segment built · 1,240 customers · email sequence triggered
Capabilities
What your agent does for you
- Identify high-LTV customers showing early inactivity or declining frequency
- Build churn-risk segments ranked by revenue at stake
- Trigger personalised win-back email or SMS sequences automatically
- Suppress already-converting customers from re-engagement flows
- Track re-engagement rates and surface what messaging is working
Setup
Up and running in four steps
- 1
Connect customer & order data
Link your store — Datajar analyses purchase history, order frequency, and spending trends per customer.
- 2
Define churn signals
Set the inactivity window, minimum LTV threshold, and cohorts you want to protect.
- 3
Agent segments and acts
The agent builds the at-risk segment and triggers your win-back sequence — email, SMS, or both.
- 4
Monitor re-engagement
Track open rates, conversions, and revenue recovered directly in the Datajar chat interface.
Results
Real outcomes, measurable impact
1,240
at-risk customers identified
45 days
early warning window
Automated
win-back sequences
Ready to deploy your AI agent?
Connect your store in minutes and let Datajar start taking actions for you today.
Explore more