We specialize in customer acquisition analytics.

Acquire profitable customers at low cost. DM Analytics sends firm offers of credit to highly targeted prospects for the consumer finance industry.

About Us

DM Analytics ("DMA") provides direct mail marketing services for the consumer finance industry. It was founded in 2015 and has acquired several online lending clients. DM Analytics distinguishes itself by using cutting-edge analytic techniques such as ensemble modeling and in-database analytic platforms — bringing sophisticated analytics that are typically only available to large firms with tremendous resources to smaller, innovative startups and fintech companies with the potential to grow.

DMA's services include data acquisition from credit bureaus, design of creative for mailers, statistical modeling for response rate and credit risk, performing pre-screen selection to provide a firm offer of credit, optimizing the offered loan amount in the selected population, and reporting on campaign performance.

In addition, DM Analytics fine-tunes the risk and response models for marketing periodically to provide continuous optimization of the campaign. For certain clients, DM Analytics also provides credit and fraud risk modeling services as well as underwriting strategy.

Finding the right customers for you.

Direct mail works well for many leading companies including Capital One, Discover, American Express, Avant, and LoanDepot, among others. However, many smaller players are unsuccessful in exploiting this channel. Why? "Advanced analytics" is the answer — and we can help you get there economically.

We have answers. DM Analytics will get you better customers at a lower cost per lead. We specialize in customer acquisition analytics.

Firm offer of credit.

Couple reviewing a mail offer together

We send firm offers of credit to highly targeted customers whose conversion rate is typically very high. We achieve this by continuously fine-tuning our campaigns. The terms of the firm offer of credit are tailored according to how well they work for both lenders and consumers.