Case Study: Avalon Consulting achieves 96% matching accuracy and 5–10% additional campaign revenue with Data Ladder's DataMatch Enterprise

A Data Ladder Case Study

Preview of the Avalon Consulting Case Study

DataMatch Enterprise Was Used to Get Highest-Level Matching Accuracy

Avalon Consulting, a fundraising and direct-mail acquisition specialist working with nonprofits since 1997, faced the challenge of accurately linking online gifts to recipients of direct mail in order to measure the true return on their clients’ acquisition investments. To solve this, Avalon Consulting turned to Data Ladder and its DataMatch Enterprise product to perform high‑accuracy name and address matching across disparate channels.

Data Ladder implemented DataMatch Enterprise’s multi-algorithm fuzzy matching and proprietary logic so Avalon could “match back” website donations to mailing lists, generate cross‑channel revenue reports, and identify gifts inspired by direct mail. The solution delivered measurable impact — DataMatch Enterprise claims about 96% matching accuracy, typically uncovered an additional 5–10% of revenue beyond direct returns, and found 5–12% more matches than leading vendors in studies — enabling Avalon Consulting to provide clients reliable ROI attribution and justify direct mail spend.


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Avalon Consulting

T.J. Hillinger

Vice President


Data Ladder

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