Customer Analysis for Retail

Understand your customers. Improve their loyalty and increase their LTV.

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One step ahead of churn

Detect customers in risk of churn, discover the evolution of new vs repeat customers, and provide surgical data to create custom journeys for your CRM

Increase sales and LTV

Finally, understand the interactions between customers and your catalog. Discover which products, categories and brands build the most loyalty.

Cluster your clients as buyer personas

Label each client as active, inactive or asleep. Cluster them as buyer personas to understand which groups have a higher LTV. Analyze them by cohorts to understand which campaigns or which months bring the best customers.