A roofing CRM saw deal cycles getting longer across all its nationwide customers' pipelines
Faraday AI models provide a custom predictive datapoint called likelihood-to-convert—that helps this company’s customers generate $3,000 more each month
The CRM’s product team thought AI lead scoring could help users quickly identify valuable leads but lacked the resources to build it in-house
They partnered with Faraday, integrating AI models that provided a custom predictive datapoint called likelihood-to-convert—within three months
This datapoint was embedded into the CRM, allowing users to filter leads by rank and reduce time spent on low-quality leads
CRM clients using the new feature closed deals 10% faster, resulting in an average of $3,000+ per month increase per contractor
