Case Study: Pajar improves customer retention and segmentation with Webtmize's RFM analysis

Pajar boosts retention with WebTmize’s RFM analysis and 4 customer segments

The customer, Pajar, a premium winter wear brand, faced challenges in customer acquisition and retention due to its highly seasonal business model. They partnered with the vendor WebTmize to perform an RFM analysis to identify high-value customers, understand behavioral patterns, and optimize their marketing strategies for better engagement and growth.

WebTmize implemented a solution using RFM and cohort analysis, employing Python and SQL for data extraction and machine learning for customer segmentation. This identified four key customer groups and revealed that the top 30% of customers generated over half of all revenue. The analysis provided strategic recommendations for retention and acquisition, with a goal to increase daily orders and potentially boost yearly revenue by an average of $300,000.

Pajar