A large sporting goods retailer needed to personalize at scale.
While the company had plenty of insightful customer data, it hadn’t been used in a way that allowed them to deliver personalization that increased conversation rates.
As part of this goal of personalization, the business also needed to be able to identify customers’ intent to purchase in real-time. It was particularly difficult to do so for customers who were new or anonymous.
Furthermore, the company also needed to be able to offer product bundles, created with various customer groups in mind. In order to so, they had to find a way to identify the best combination of products to bundle, find the optimal price for each bundle, and identify the key behavior traits of various customer groups.