Case / segMENTOR

Behavior-based push notifications

Push targeting driven by shopper behavior inside shopping centers, weighing external and behavioral factors. The result was more effective communication and increased sales.

Challenge

A shopping-center operator wanted messages that reflected where customers went and what was relevant to them, rather than generic promotions.

Scope

Combine movement heat maps with external and behavioral signals to target mobile push campaigns.

Approach

The team used those signals to segment shoppers and personalize notifications, with machine learning refining delivery over time.

Outcome

Participating stores reported growth in sales and customer retention; the source does not publish a numerical lift.

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