“If you can't tie a loyalty rupee to an incremental sale, you don't have loyalty — you have philanthropy. Fundle's offline-attribution engine ends that ambiguity.”
Customer intelligence vs. customer data
Most retailers have customer data — rows in a warehouse, fields in a CRM. Very few have customer intelligence. Intelligence means predictive scores, ranked recommendations, and triggered actions that change behaviour. Fundle's Customer Intelligence Platform produces six live signals on every customer, every day: churn risk, next-best-offer, predicted LTV, propensity to upsell, engagement health and segment migration probability.
The six live signals Fundle ships on every customer
- Churn risk (0-100) — daily, 30-day forward window
- Next-best-offer — top-3 SKUs ranked by propensity × margin
- Predicted LTV — 12-month and 36-month projections
- Upsell propensity — probability of basket-size lift per category
- Engagement health — channel responsiveness, opt-in robustness
- Segment migration — likelihood of moving between RFM segments
How retailers use this
- Trigger automated win-back the day churn risk crosses 70
- Inject next-best-offer into the WhatsApp message at send-time
- Route high-LTV customers to premium service queues
- Suppress full-price campaigns to discount-hunters
- Identify "rising-LTV" customers for tier upgrades
- Detect declining engagement health before it becomes churn
What separates a real CIP from a "dashboard"
A dashboard tells you the past. A customer intelligence platform predicts the future and triggers actions on those predictions automatically. The difference is the AI agent layer — and the closed-loop measurement that proves whether the intervention worked. Fundle ships both, in one platform, with automated control groups on every campaign.
Related resources
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