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Customer Loyalty Analytics for QSR

EdgeRed built a customer loyalty analytics capability for a leading Australian QSR brand – giving the marketing team a clear, data-driven view of who their most valuable customers were, what kept them coming back, and where loyalty was at risk.

The Challenge

A leading Australian QSR brand wanted to increase customer engagement and repeat visit frequency – but had no baseline view of customer behaviour, lifecycle stage or what was driving loyalty. Without understanding who was at risk of churning and what early behaviours predicted long-term loyalty, the marketing team was operating without direction.

What We Built

EdgeRed conducted a deep analysis of customer transaction data and built an automated loyalty analytics capability to power ongoing lifecycle management and targeted marketing.

The Outcome

The marketing team moved from gut feel to data-driven targeting – with a clear view of customer lifecycle stage, CLV and churn risk for the first time. Lifecycle-based campaigns drove a 2.5x uplift in customer retention, with early intervention strategies targeting customers in their first 14 days proving the strongest driver of long-term loyalty. The business now has an automated, always-on view of customer health dashboard – and a marketing team that knows exactly where to focus.