Facing high direct mail costs, this provider needed a way to quickly refine their targeting without disrupting their workflow
In just over a month, this financial services provider used Faraday’s predictive lead suppression datapoints to cut low value leads, saving nearly $40,000 while maintaining strong engagement with high-value leads.
They came to Faraday for help and within weeks of signing on, their predictive suppression models were deploying custom datapoints to their CRM and informing direct mail decisions
By eliminating 80,000+ low-likelihood mailers, they saved nearly $40,000 in just one month
Ongoing validation testing has already confirmed the model’s efficacy, with low-score leads converting below average and high-score leads outperforming and this precision will continue to improve as more consumer data passes through the model
Now, they’re expanding their use of Faraday to optimize call center outreach for even greater efficiency
