Case Study: allbeauty achieves 518.7% revenue increase and reduced churn with RedEye's predictive churn solution

Predicting churn to makeover allbeauty’s customer retention strategy

allbeauty is a UK-based online beauty and fragrance retailer with over 13,000 product lines and 150,000 customers that needed to stop valuable shoppers slipping into competitors’ hands. They discovered their automated reactivation campaign (targeting customers 15 months after last purchase) treated everyone the same and often reached customers too late, so they turned to RedEye and its predictive model suite—specifically RedEye’s AI-driven predictive churn model—to identify individual customers likely to lapse within the next 90 days.

RedEye applied its predictive churn model to allbeauty’s customer database to trigger personalised reactivation at each customer’s precise moment of lapsing, reducing unnecessary sends and prioritising high-risk customers. The result was a 414.6% increase in sales and a 518.7% increase in revenue, alongside a 6.2% uplift in click-through rate, an 11.7% rise in open rates and a 27% reduction in emails sent—demonstrating RedEye’s impact on retention and engagement.

allbeauty