Case Study: Max Fashion lowers bounce rate by 93% with ROI Hunter

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Preview of the Max Fashion Case Study

Max Fashion lowers bounce rate by 93% with ROI Hunter

Max Fashion, a major fashion retailer, faced a challenge where their Facebook dynamic ads were repeatedly promoting products that were out-of-stock in popular sizes. This issue frustrated customers, wasted ad impressions, and led to high bounce rates and increased marketing costs. ROI Hunter's Product Insights solution was used to address this problem.

ROI Hunter integrated Max Fashion's product and stock-level data to create a filter that identified and excluded items with low stock availability from their ad campaigns. This simple fix prevented the promotion of nearly out-of-stock products. The results were dramatic: Max Fashion achieved a 45% lower cost per session, a 93% lower bounce rate, and a 60% lower cost per purchase, significantly improving their campaign efficiency and customer experience.


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