01
Pharmacy chain
-42% chronic-customer churn after deploying adherence-aware retention.
Solutions
You don't lose a customer in a day. Why notice in a quarter?
Predict customer churn 30 days early, intervene automatically, and recover at-risk revenue. Fundle's retention engine reduces churn 35% on average.
Section 01
The thesis
The problem
By the time a customer "looks lapsed" — 90 days of no visits — they've already moved their spend elsewhere. Win-back campaigns on truly-lapsed customers convert <10%.
The Fundle approach
Fundle's Retention Agent monitors visit frequency, basket-size trajectory, category breadth and channel engagement daily. Members entering "About to Churn" cohorts trigger automatic win-back journeys, 30 days before they stop coming.
Section 02
The capabilities
Everything you need — native, not stitched together.
01
Daily churn-risk scoring
02
Automatic win-back journeys
03
Tier-protection logic
04
Lifecycle milestone campaigns
In production
Use cases
What it looks like when this runs in production.
·-35% average churn reduction
·30-day prediction lead time
Questions
Most asked
The questions enterprise loyalty teams ask first.
What's the difference between RFM "At Risk" and your churn prediction?
RFM is a backward-looking score. Fundle's churn model is forward-looking — it flags members likely to churn in 30 days before they show up in any RFM bucket.
Continue exploring
Next step
Ready to see Fundle in action?
A 30-minute working session with a Fundle loyalty strategist and a solutions engineer — tailored to your brand or mall.