CASE STUDY A leading subscription E-commerce company
Faraday’s AI-powered recommendation engine helped a subscription box brand improve revenue and retention. The company replaced manual product assignments with Faraday’s algorithm, which matched custo...mers and products using data. An A/B test showed a 5% increase in revenue per customer and a 3% reduction in churn. The brand saw over 5x monthly return on investment. Faraday’s solution outperformed manual rules for four months in a row.
Faraday’s third-party data helped a DTC brand solve the cold start problem in a new market. The brand used Klaviyo to engage existing customers but struggled to target new ones due to lack of data. B...y adding Faraday’s data, they improved their Klaviyo models with rich consumer insights. This allowed better audience segmentation by demographics and behavior. The brand improved targeting and performance for both new and existing customers.
CASE STUDY One of the world’s largest private construction companies
Faraday helped a $4B construction brand use AI and built-in consumer data to predict lead conversion. The company switched from a basic rules-based system to Faraday’s predictive lead scoring. This m...ade it easy to boost lead conversion rates by 4x. An independent agency confirmed the results through holdout testing. The company now saves millions by identifying better leads.
Faraday helped a solar provider improve their customer targeting. The provider had trouble finding the right customers and wasted money on marketing. Faraday used persona analysis to find the best cu...stomer types. They mapped high-potential customers by location, including rural areas. The provider changed their strategy and focused on the best prospects, saving money and reaching new markets.
Financial Services Case Studies and Success Stories with Faraday AI Platform
CASE STUDY A debt consolidation company
Faraday's lead suppression model helped a debt consolidation company cut waste in direct mail campaigns. The company stopped sending over 600,000 pieces of mail each month to leads unlikely to conver...t. This change saved them more than $100,000 per month in direct mail costs. Faraday's lead scoring also helped them find the best prospects. The company now focuses its marketing on leads most likely to convert.
Faraday helped a financial services client improve their direct mail campaigns. The client needed better targeting for their unique market segments. Faraday built five predictive models tailored to t...hese segments. This led to an extra $20,000 in monthly revenue and a 10x ROI. The new models boosted precision and reduced wasted spend.
Faraday’s predictive lead suppression helped a financial services provider save $40,000 in the first month. The company faced high direct mail costs and needed better targeting. Faraday’s models quic...kly identified and cut over 80,000 low-value leads. This kept engagement high with valuable leads. Ongoing testing shows the model works well. The provider is now using Faraday to improve call center outreach too.
Advia Credit Union used Faraday to recommend financial products to its members. The credit union wanted to increase engagement and grow wallet share while following fair lending rules. Faraday helped... Advia target members with personalized auto loan offers using email and direct mail. After 90 days, Advia saw auto loan application rates rise to 5.18% and gained $2.7 million in new loans. The campaign also met compliance needs and improved member engagement.
Faraday helped a leading financial services provider use ROI insights to improve their strategy. A routine ROI check found a group of leads that brought more value, even if they converted less often.... Faraday refined the model to target these leads for long-term revenue. The client saw more impact per customer and higher total returns. This also helped them better serve people in financial need.
CASE STUDY A specialized insurer for rare collectibles and classic cars
Faraday helped a classic car insurer use AI-powered personas to target their ideal audience. The insurer faced high customer acquisition costs and wanted better engagement with collectors. Faraday's ...solution improved campaign targeting and efficiency. In six months, the insurer cut CAC by 67% and increased quote volume by 30%. The company reinvested savings to grow future campaigns.
Homie uses Faraday's market intelligence to expand into Nevada, predicting optimal locations and saving clients over $61 million by reducing home buying and selling costs.
Marketing and Advertising Case Studies and Success Stories with Faraday AI Platform
CASE STUDY A direct mail platform
Faraday's predictive AI helped a direct mail platform launch a new audience targeting feature. The platform wanted to help users target better without old lists or generic data. They used Faraday’s A...PI and data team to build the feature in just over a month. Users can now create high-propensity lookalike audiences and improve campaign ROI. The feature improved targeting, engagement, and made the platform more competitive.
Faraday’s predictive lead scoring AI agents helped a leading direct mail platform triple its outreach. Before, the company only targeted leads showing clear interest, which limited growth. With Farad...ay, they could find likely converters before any site interaction. This allowed them to send three times more mail while keeping conversion rates strong. They are now expanding this predictive approach to reach more prospects earlier.
SalesRabbit used Faraday to add AI to their DataGrid product. Their old solution gave sales teams household data but lacked predictive power. Faraday’s data and prediction tools let SalesRabbit build... predictive lead scoring fast. They launched DataGrid AI in days, not years. Sales teams now get better leads and work more efficiently.
Faraday's AI lead scoring was added to a roofing CRM. The CRM's users had slow deal cycles. Faraday's tool helped users find the best leads fast. Users closed deals 10% faster. Each contractor made o...ver $3,000 more per month. The CRM team built this feature with Faraday in three months.
Bee’s Wrap used Faraday personas to analyze their DTC sales data. They needed to show Target that their customers matched Target’s ideal shopper. By connecting Shopify data to Faraday, they quickly c...reated detailed customer profiles and mapped purchase trends. This data helped them build a strong pitch deck. As a result, Bee’s Wrap secured a deal to be in over 550 Target stores with a six-figure wholesale order.
Faraday's lead scoring helped a regional home renovation company improve call center performance. The company faced high lead volumes that lowered conversion rates by 21% during busy periods. Faraday...'s real-time lead scoring let the team focus on the best leads. Conversion rates increased by 13% during peak times. The company achieved a 22x monthly return on investment and gained better insights into lead quality and operations.
Faraday’s predictive lead scoring helped Momentum Solar improve sales efficiency. The company switched from a rules-based system to Faraday’s machine learning model. Leads were ranked by conversion p...robability and grouped by priority. The new system updated scores as new data came in. Momentum Solar saw a 33% drop in calls-per-appointment and better conversion rates for top leads.
