We score every contact in your next campaign with a personalized ML model - so your direct mail and outreach budget only goes to the audience most likely to respond. Same revenue, a fraction of the spend.
If you're paying per recipient - postage, print, ad impressions, calls - and most of them don't convert, scoring before you spend pays for itself in the first send.
We combine and transform your existing customer or donor data - purchase history, engagement signals, demographics, and campaign activity - into a tailored dataset designed for prediction and targeting.
A machine learning model trained on the curated dataset outputs a ranked list of contacts based on their predicted likelihood of donating, purchasing, or converting. Alongside the predictions, we provide a full feature importance report giving complete visibility into the behavioral patterns most strongly associated with lead conversion.
Using the ranked predictions, we determine the optimal targeting threshold for your campaign. The result is more efficient outreach, lower campaign volume, and stronger operational performance.
By scoring their donor base before each Direct mail send, we identify which contacts are unlikely to donate in a given cycle - reducing print and postage costs without cutting fundraising yield.
Send us your campaign setup and we'll assess fit within 3 business days.
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