This Everlytic case study demonstrates how a leading retailer improved customer engagement and revenue by replacing generic email campaigns with personalized, data-driven communications. Instead of sending the same message to every customer, the retailer used real-time shopping behavior, customer preferences, and automation to tailor subject lines, product recommendations, and messaging for each recipient. Continuous analysis of customer engagement enabled ongoing optimization, ensuring emails remained relevant over time. This personalized approach increased average customer spending by 1.74%, generated a 2.03% uplift in total sales, and achieved open rates of up to 16% with click-through rates of 1%. The study concludes that relevance, rather than sending more campaigns, is the key to imp

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