Predict churn early and win customers back.
Scores every customer’s churn risk in real time, launches the intervention most likely to save them and proves the revenue retained.
−33%
churn
weeks
earlier warning
proven
revenue retained
Section 01
The business problem
By the time a customer “churns”, they left weeks ago. Retention is reactive, win-back offers are generic and no one can quantify the revenue actually saved.
Why existing solutions fall short
- Churn is measured after the fact, not predicted.
- Win-back is a single blanket discount for everyone.
- Retention impact is never tied back to revenue.
Section 02
How Fundle solves it
The Customer Retention Agent predicts churn risk continuously, matches each at-risk customer to the save action most likely to work, and measures the incremental revenue retained.
01
Churn prediction
Scores every customer’s risk in real time with explainable drivers.
02
Save-action matching
Chooses the intervention with the best expected save value.
03
Win-back journeys
Runs staged reactivation for lapsed customers.
04
Retained-revenue proof
Quantifies incremental revenue saved vs a holdout.
How it works
From data to outcome — the agentic workflow.
Predict
Scores churn risk and surfaces drivers.
Match
Selects the best save action per customer.
Intervene
Launches the save or win-back journey.
Prove
Measures revenue retained against a control.
Business impact & ROI
−33%
reduction in churn
5x
ROI on save spend
holdout
verified impact
Integrations
FAQ
Customer Retention Agent — questions buyers ask.
How early can it warn?
Risk rises weeks before lapse, giving you a real window to intervene.
How do I trust the numbers?
Impact is measured against a holdout group, so retained revenue is verifiable.
Does it over-discount to retain?
No — it matches the least-costly action that saves the customer.
Get started
See Customer Retention Agent on your data.
A 30-minute working session with the Fundle team — mapped to your brand, mall or programme.