A national home services brand faced challenges with purchasing unqualified leads from affiliates, leading to wasted resources and missed opportunities
Faraday integrates with this brand's lead management system, to provide custom predictive datapoints (like likelihood-to-convert) to predict which leads are junk before they are bought
The team tried various methods, such as avoiding duplicate leads and adding an identity verification layer, but the problem of acquiring unqualified leads persisted
The company adopted Faraday, which provided pre-built consumer data, easy integration, and AI models that delivered a custom predictive datapoint (likelihood-to-convert) for real-time lead scoring and rejection of low-quality leads, leading to significant cost savings.
This datapoint helped save over $41,000 in 30 days. The success led to the expansion of predictive analytics to other departments, optimizing lead follow-up, email deliverability, and market strategy
