Case Study
How a prominent global fashion retailer achieved a 757% uplift by targeting visitors who are more likely to make a purchase
How a prominent global fashion retailer achieved a 757% uplift by targeting visitors who are more likely to make a purchase
How a prominent global fashion retailer achieved a 757% uplift by targeting visitors who are more likely to make a purchase eCommerce Director Insider’s predictive modelling and segmentation technology provided us invaluable insight into the future buying behaviour of our customers. Easily accessible and ready-to-use predictive segments allowed us to directly target those visitors who are most likely to make a purchase, helping us optimize our marketing budget besides observing a significant uplift.The global fashion retailer was looking to target their visitors who are most likely to make a purchase so that they can re- engage them with relevant messages to drive conversions and turn them into first-time buyers. Founded in 1988, the global fashion retailer now operates in