A retailer matched media to real catchments, not radius maps

Household-level catchment analysis focused spend on the homes that convert.

+19%

HIGHER RETURN ON AD SPEND

30%

LESS LOW-VALUE SPEND

3.1M

HIGH-PROPENSITY HOUSEHOLDS

The Challenge

A multi-site retailer was buying local media by postcode and a fixed radius around each store. Radius maps don’t match how people shop: over-spending on low-propensity suburbs inside the circle, under-serving high-propensity households just outside it.

The Solution

Alive Data mapped each store’s true catchment at the household level, using movement and spend data to find where customers actually come from and which nearby households resemble them. Store-level audiences of high-propensity households replaced the radius buy.

The Results

Spending against real catchments lifted return on ad spend by around 19% and cut spend on low-propensity areas by roughly 30%, across 3.1M high-propensity households.

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