Customer stories

Thirstie, an e-commerce platform for beverage brands, built a new analytics feature, powered by Faraday, that drove adoption.

With Faraday, Community First Credit Union used customer predictions to drive highly effective acquisition and engagement campaigns with great results.

Momentum Solar used Faraday to add a predictive layer to their call center's lead scoring process, resulting in the call center needing 33% fewer outbound calls to achieve their appointment goal.

The team at Advia Credit Union used customer predictions to deliver the right product to the right people in a direct mail campaign while using AI responsibly.

A third-party analysis revealed that the conversion rate of leads in the top 10% of lead scores was 4x higher than the brand's baseline conversion rate, confirming Faraday's ability to accurately identify high-potential leads.

Over a 30-day period, Faraday helped this brand save $41,976 by rejecting 1,072 leads who were predicted to never convert.

Launched as “DataGrid AI,” SalesRabbit’s predictive lead scoring tool guides canvassing teams to best-fit territories, helps with route planning, and leaves reps with clear guidance on which households to prioritize when in the field.

A leading CRM used by roofers powers their Lead Intelligence tool with predictive lead scores, which helps their customers see which leads are most likely to convert.

At gorjana, Elton Graham’s team used Faraday to gain customer insights, validate core customer segments, and reach more potential customers with data-driven campaigns.

Boll & Branch used customer predictions to drive hyper-personalized customer experiences, resulting in a 30% lift in coversion rates.

Alex Kubo and his team at Burrow used data and machine learning to scale acquisition efforts and drive lifetime value.