Solutions · Frequency

Bring the customer back before their next natural purchase

Frequency is the metric that moves sales the most in brick-and-mortar retail. And it does not rise with a blanket campaign: it rises when the rule matches each customer's cycle.

+40%
in annual purchase frequency
+14%
annual frequency in a fashion chain
<3%
of contribution margin as cost

How Guper solves it

1

The real cycle is measured

The interval between purchases is calculated per person, not with a fixed window for the whole base.

2

The rule changes by profile

Someone who buys weekly and someone who buys every six months get different incentives.

3

The reminder arrives in time

Before the balance expires and before the customer drifts into the risk zone.

4

Measured against control

A group stays out of the program so incrementality can be read for real.

FAQ

Does it work for high ticket and long cycles?

Yes, and that is where the churn rule based on real intervals matters most, because the customer slips away quietly.

How do you avoid cannibalizing sales that would happen anyway?

With a control group. Influenced sales are compared against those who got no incentive.

See a story with numbers →

How would it look in your operation?

A 45-minute session, on your numbers.

Book a demo