Tobi, a fashion retailer known for its strong email marketing performance, sought to move beyond traditional automation and engage customers based on their true style preferences. Working with Netcore, the brand implemented affinity-based segmentation powered by real customer intent signals, such as browsing behavior, product interests, and category preferences. Instead of sending generic campaigns, Tobi delivered highly relevant recommendations focused on products customers were most likely to love, including categories such as denim, corsets, dresses, and other fashion interests. By analyzing customer affinities and shopping behavior, the brand created personalized communications that spoke directly to individual tastes rather than relying on assumptions. This data-driven approach signif

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