Built-in AI Intelligence

Your Customer Data, Automatically Decoded

Five powerful algorithms run every night on your loyalty data. No Python. No data scientists. No extra cost. Just actionable insights in your dashboard every morning.

๐ŸŽฏ
Feature 1

RFM Customer Segmentation

Every customer is scored on three dimensions: how recently they visited, how frequently they come, and how much money they spend. These scores automatically place them into meaningful segments.

โœ“Champions โ€” Your best customers. Visit often, spend a lot, came recently.
!At-Risk โ€” Used to visit frequently but haven't been back. Time to reach out.
โ˜…Promising โ€” New customers showing early signs of loyalty. Nurture them.

Customer Segments

Champions
12
Loyal
18
Promising
5
At-Risk
8
Hibernating
4
Lost
3

Churn Risk Dashboard

Sarah M.avg: 7d | last: 18d ago
2.6xHIGH
Tom K.avg: 5d | last: 9d ago
1.8xMEDIUM
Lisa R.avg: 14d | last: 12d ago
0.9xLOW
James W.avg: 3d | last: 8d ago
2.7xHIGH
๐Ÿ”ฎ
Feature 2

Churn Prediction

Every customer has their own visit rhythm. A coffee shop regular who comes every 3 days is different from a salon customer who visits monthly. Our algorithm learns each customer's pattern and alerts you when they're overdue.

How it works:

Churn Score = Days since last visit รท Average visit gap. A score of 1.5x means they're 50% overdue. A score of 2.0x+ means critical โ€” they've gone twice as long as usual.

โฐ
Feature 3

Visit Timing Prediction

Know exactly when each customer is expected to return. Perfect for timing re-engagement messages, planning staffing, or identifying customers who need a nudge.

3d

Sarah visits every ~3 days

Next expected: Tomorrow

7d

Tom visits weekly

Next expected: 2 days overdue

Expected Next Visit

Today

Sarah M., Alex K.

Tomorrow

Lisa R.

In 3 days

Tom K., Maria S.

Overdue

James W., Chen L.

Customer Value Tiers

H

8

High Value

~45 pts/mo

M

22

Medium

~20 pts/mo

L

20

Low

~5 pts/mo

๐Ÿ’Ž
Feature 4

Customer Lifetime Value

Not all customers are equal. Our CLV model predicts how much value each customer will bring over the next 30 and 90 days, combining visit frequency, average spend, and retention probability.

Use this to decide who deserves VIP treatment, where to focus your re-engagement efforts, and which customer relationships are worth investing in.

๐Ÿ›ก๏ธ
Feature 5

Anomaly Detection

Protect your loyalty program from abuse. Our system automatically flags suspicious patterns so you can investigate before they become a problem.

โšก

Rapid Check-ins

Same customer checking in multiple times within 30 minutes

๐Ÿ“ˆ

Points Outliers

Point awards that deviate significantly from the norm

๐Ÿ”„

Frequency Spikes

Sudden increase in visit frequency that breaks the pattern

Recent Alerts

HIGH2h ago

Customer checked in twice within 5 minutes

MEDIUM5h ago

Unusual points award: 500 pts (z-score: 4.2)

MEDIUM1d ago

8 visits this week (avg: 2/week)

How It Works

๐Ÿ“Š

Collect Data

Every check-in, point award, and redemption feeds the algorithms automatically.

๐Ÿง 

Nightly Analysis

Every night at 2 AM, five algorithms process your data and update all scores.

๐ŸŽฏ

Take Action

Open your dashboard in the morning and see exactly which customers need attention.

Ready to Understand Your Customers Better?

Start your 14-day free trial. All AI features included. No credit card required.