Lift AI
31 Case Studies
A Lift AI Case Study
Boomi, an intelligent integration and automation leader, was struggling to effectively engage its over 100,000 monthly website visitors. Its existing chat tool, Drift, used rigid decision-tree playbooks that could not adapt to the complex and varied nature of visitor behavior. A major challenge was that 77% of these visitors were anonymous, making it difficult to identify serious buyers and focus sales resources. To address this, Boomi turned to Lift AI.
Lift AI provided a solution by predicting visitor buyer intent in real-time using a machine learning model that scores website behavior. Boomi integrated these intent scores with Drift to route high-intent visitors to sales development representatives (SDRs) and lower-intent visitors to chatbots. This strategy more than doubled the SDR conversion rate to 8.72% and increased monthly pipeline by 21.74%, with 58% of the new pipeline coming from previously missed anonymous visitors.