Case Study: LuisaViaRoma Achieves 106% Revenue Growth with Making Science’s AI Predictive Model

LuisaViaRoma boosts revenue 106% with Making Science

LuisaViaRoma, a leading online luxury fashion retailer, faced the challenge of optimizing its customer acquisition campaigns due to a low conversion rate. The volume of sales conversions was insufficient for Google's algorithms to effectively optimize for this KPI. To address this, they partnered with vendor Making Science.

Making Science implemented a solution that incorporated new data signals from earlier stages of the sales cycle, such as product views and add to carts, into a predictive AI model. This model scored users in real-time and fed the data into DV360 campaigns for custom bidding. The results were significant: a test campaign using this data saw a 36% increase in sales and a 106% increase in revenue. The solution also boosted ROAS by 100% and lowered CPA by 25%.

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