Case Study: Havan achieves 25.7% higher Product ROAS with ROI Hunter's AI-powered Smart Segments

Havan boosts Product ROAS by 25.7% with ROI Hunter

Havan, one of Brazil's largest department store chains, faced a challenge with its Meta Advantage+ Shopping campaigns. With over 350,000 products, the algorithm distributed ad budget evenly, concentrating exposure on the most-shown items rather than the best converters. Their goal was to drive more efficient revenue from proven products without manual management or reducing their vast assortment. To solve this, they turned to ROI Hunter and its AI-powered SMART Segments.

ROI Hunter implemented a solution using Segment Prioritisation with its Smart Segments feature. Havan ran a controlled A/B test where one campaign used Smart Segments to automatically boost top-performing products daily. This resulted in a 25.7% increase in Product ROAS and a 25.5% uplift in product revenue at an identical spend. The solution also drove a 50.7% increase in revenue per data view, proving ROI Hunter's platform successfully allocated budget to higher-converting products without adding operational overhead.

Havan