Case Study: a solar company achieves a 51% lift in conversion rates with Faraday AI

Solar Lead Conversion - Customer Case Study

The solar installer Solar Lead Conversion, an Inc. 500 company, faced high customer acquisition costs from its call center operations. To reduce these costs and improve efficiency, they partnered with Faraday to implement predictive lead scoring using Faraday's AI and Identity Graph (FIG) data.

Faraday built and deployed a custom predictive model through its Monitor service, which automatically scores all leads monthly. This solution provided a 51% lift in conversion rates for moderately likely leads and a 191% lift for the highest-scoring leads. Overall, Faraday's implementation reduced the number of connects needed per appointment by 33%.