Case Study: an online multi-brand retailer doubles conversions with Pecan predictive upsell modeling

Online Multi-Brand Retailer - Customer Case Study

The online multi-brand retailer, which utilizes outbound sales calls for upselling, faced a challenge in efficiently predicting which customers were most likely to convert. Their established tactics and a previous analytics vendor failed to provide the actionable predictions needed to increase conversion rates and optimize call timing. They turned to the predictive analytics platform from Pecan for a solution.

Pecan’s platform ingested the retailer’s data and built a predictive upsell model, which was deployed in under two weeks. This solution delivered a 71% increase in conversion rate, jumping from 7% to 12%. The sales team also saw a more than 20% increase in answer rates, allowing them to focus on top leads and boost overall sales productivity.