Recover regulars who slipped — without burning margin on
blanket coupons.
POS data shows a frequency drop only after the customer is gone. We learn each customer's natural cadence and flag lapses early with a coupon they will actually use.
Retention Intelligence
Vertical-Specific Signals
Coupon margin protection
Incremental revenue
The Retail Store Advantage.
ChurnGuard for Retail is a loyalty intelligence platform that identifies "Regulars" who are starting to drift away. It analyzes your POS data to predict when a customer has broken their shopping cycle and triggers a personalized re-engagement offer.
The Challenge
Retail is a game of frequency. A regular who shops once a week but suddenly stops for 14 days has likely found a new "Main Store." If you wait for your monthly email blast, they've already settled into a new habit. You need to catch them in the "Switch Window"—the first 7-10 days after a missed cycle.
The AI Solution
The AI builds an RFM (Recency, Frequency, Monetary) profile for every customer. It detects "Category Gaps"—e.g., a customer who buys milk and bread weekly but has missed 2 weeks—and suggests a targeted WhatsApp coupon for those specific categories.
The Result
Recovered revenue from regulars and better margin than blanket discounts.
AI Intelligence
Signals tracked for
Retail Store.
"A multi-location retailer recovers 410 of 1,100 cooling regulars with a 12% targeted coupon, generating $34K in incremental revenue."
Why ChurnGuard?
Stop using legacy tools for modern problems.
| Feature | ChurnGuard AI | Legacy BI |
|---|---|---|
| Prediction Accuracy | 92%+ | 40-50% |
| Setup Time | 15 to 180 Seconds (Adaptive) | 3-6 Months |
| Retail Store Playbooks | — | |
| Automated Actions | — | |
| PII Protection | Partial |
Stop the Retail Store
revenue leak.
Upload your customer data and let ChurnGuard AI find the accounts you can save today. No code, no card.