Cases

User Behavior-Based Push Notifications

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shopping mall ()

Challenge

Develop and implement a marketing strategy that considers customer movement within shopping centers, as well as external and behavioral factors. The goal was to send highly relevant push notifications that would increase engagement and encourage purchases.

Scope

O projeto focou no rastreamento do movimento dos clientes dentro de shopping centers por meio de mapas de calor e na análise de fatores externos e comportamentais. Essas informações foram integradas para criar campanhas de “push notifications” direcionadas com base na segmentação do usuário.

Solution

The solution involved creating a system that collected and analyzed heat map data, representing customer movement within shopping centers, as well as external and behavioral factors. This information was used to segment customers and personalize push notifications, promoting relevant offers and information. The strategy also incorporated machine learning to continually refine segmentation and notification delivery.

Result

Participating stores experienced growth in sales and customer retention. This approach, which combines customer movement with external and behavioral factors, set a new standard for personalized retail marketing, strengthening the company's position as a benchmark for innovation in the field.

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