Case Study: Brotherhood Mutual achieves 97% improvement in match accuracy and faster duplicate resolution with WinPure

Brotherhood Mutual Resolves Complex Duplicates Within Minutes Simple & Efficient to Use

Brotherhood Mutual, an insurance provider for churches and ministries in the United States, faced growing data quality challenges as it managed large volumes of client, policy, and claims records. After encountering flexibility and usability limits with Melissa Data, Brotherhood Mutual selected WinPure and its advanced fuzzy match data-cleaning and matching tool to provide a more powerful, easy-to-use solution.

WinPure deployed its fuzzy match module and intuitive interface so Brotherhood Mutual could quickly build matching rules and batch-update records across names, addresses, phones, and emails. The implementation delivered measurable gains — WinPure improved match accuracy by 97% and sped duplicate resolution versus prior solutions — while simplifying setup, empowering teams to resolve data issues confidently, and prompting the organization to add additional users.

Brotherhood Mutual

Pam Kirkpatrick

Senior Marketing Manager