Retail loyalty

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 Score

Industry Benchmark

+12%
Regular recovery rate20–30%
Coupon margin protection+6 pts
Incremental revenue$30–60K/mo
Built for global SMBs — 60+ countries and 60+ currencies supported, with timezone-aware send windows.
What it is

The Retail Store Co-pilot.

ChurnGuard acts as a Retention Co-pilot for Retail Store owners. It doesn't just show data; it automates the "Next Best Action" for every at-risk customer.

The Problem

Why Churn is "Silent."

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 Engine

How our AI saves revenue.

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.

AI Intelligence

The signals our AI tracks for Retail Store.

01

Days since last transaction vs. individual cadence

Monitored daily to detect behavioral shifts 30-60 days before a cancellation event.

02

Basket size (AOV) trends and category drift

Monitored daily to detect behavioral shifts 30-60 days before a cancellation event.

03

Discount dependency (only buying on sale)

Monitored daily to detect behavioral shifts 30-60 days before a cancellation event.

04

Preferred store location and visit timing

Monitored daily to detect behavioral shifts 30-60 days before a cancellation event.

05

Loyalty program activity and point accrual

Monitored daily to detect behavioral shifts 30-60 days before a cancellation event.

Plus 15+ Industry Signals

Customized to your specific billing and activity data during the first 60 seconds of processing.

Business Impact

Recovered revenue,
not just data points.

Recover 20–30% of "Cooling" regulars before they switch

Protect margins by only discounting customers who are actually leaving

Identify "Whale" shoppers for localized VIP events

Automate the store manager daily winback list

60s

Time to insight

4.5x

Typical ROI

PII-Safe

Enterprise-grade security

Sample Use Case

How a business like yours uses ChurnGuard to stop the leak.

"A multi-location retailer recovers 410 of 1,100 cooling regulars with a 12% targeted coupon, generating $34K in incremental revenue."

🛍️
Retail Store Owner
Customer Profile

Reachability

One click to win them back.

Call

Not recommended.

Email

Best for Retail Store.

Co-pilot Ready

WhatsApp

Best for Retail Store.

Co-pilot Ready

Push

Best for Retail Store.

Co-pilot Ready

The Proper Choice

Why Retail Store owners choose ChurnGuard.

FeatureChurnGuard AILegacy ToolsManual / DIY
AI Prediction Accuracy85%+20-30%Guesswork
Setup Time60 SecondsWeeksDays
Retail Store Native Playbooks
Automated Action Scripts
Coupon ROI Tracking
Retention Co-pilot Mode

Common Questions

How do you handle anonymous walk-in customers?

We focus on identifiable regulars — loyalty members, e-receipt buyers, app users — where retention is measurable.

Will this work with my POS?

Most POS systems export sales by customer. Drop the CSV or push events to our API; column variations are auto-mapped.

How is ROI measured?

Coupon redemption is tracked end-to-end; the platform reports redemption rate, recovered revenue, and margin per coupon batch.

Instant Deployment

Recover your first
lost revenue in 60s.

Upload your customer data and let ChurnGuard AI find the accounts you can save today. No code, no card, no long integration.