Case Study
Predicting churn to makeover allbeauty’s customer retention strategy
allbeauty, a leading online beauty retailer, enhanced its customer retention strategy by leveraging RedEye’s predictive churn model. Using AI and machine learning, they identified customers likely to lapse and optimized their reactivation campaigns to engage them at the right time. This approach led to a 518.7% increase in revenue, a 414.6% boost in sales, and higher email engagement, all while reducing email volume by 27%. By personalizing outreach based on individual purchase behavior, allbeauty significantly reduced churn and strengthened customer loyalty without changing its existing email creative.