Case Study: RetouchMe improves LTV and boosts VIP customers with Yespo AI-powered predictive segmentation

A Yespo Case Study

Preview of the RetouchMe Case Study

Predictive Segmentation Helps RetouchMe Retain High-Value Customers and Improve Average LTV

RetouchMe, a mobile photo editing app with over a million downloads, faced a challenge with rapid growth. A sudden influx of new customers caused order delays and a declining quality of service, which increased churn. With 50% of its revenue coming from just 2% of its users, the company needed a way to identify and retain these high-value customers to improve their workflow and increase average customer lifetime value (LTV).

The vendor, Yespo, implemented a custom AI solution for predictive customer segmentation. This tool identified potential VIP customers with 99% accuracy within seven days of their first order, allowing RetouchMe to prioritize their requests. As a result, the company saw a 35% quarterly increase in VIP customers and a 17% quarterly increase in income.


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