A global luxury beauty retailer sought to improve advertising return on ad spend (ROAS) by shifting from broad audience targeting to a more precise, data-driven approach. To eliminate wasted ad spend and engage high-intent shoppers, they partnered with InfoTrust to develop a sophisticated propensity model. By leveraging InfoTrust’s specialized software and advanced data modeling capabilities, the retailer identified and ranked customers based on their likelihood to purchase online. This technical solution enabled the brand to focus its marketing budget on high-propensity segments, resulting in a significant 1.75 increase in ROAS and demonstrating the power of precise, audience-centric analytics.

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