Case Study: Travis Perkins achieves 34% increase in Customer Lifetime Value and 54% churn reduction with RedEye

AI and predictive analytics reduced customer churn by 54%

Travis Perkins, one of Britain’s largest builders’ merchants with over 650 branches and 100,000 product lines, faced a challenge of customer churn and a growing lapsed segment that threatened long-term value. To address this, RedEye deployed its AI-driven Predictive Analytics via its proprietary Customer Data Platform and Predictive/Churn Models to identify customers at risk and surface the next likely actions for re-engagement.

RedEye implemented a Churn Model that analysed transactions and real-time web engagement, then used multi-channel, personalised communications and ongoing machine learning to re-engage customers. The result was a 3.9% reduction in the lapsed segment, a 34% increase in customer lifetime value over 12 months, a 90% rise in active contacts and significant overall database value growth — all delivered through RedEye’s platform.

Travis Perkins