On-Impact Strategies Uses DataMatch Enterprise to Streamline Data Exports

Company Profile

On Impact Strategies LLC is a political marketing and research company that provides services to advocacy groups and non-profits such as phone polling and surveys, direct mail, phone broadcast messaging, advocacy, and grassroots campaigns, data solutions, and conferencing solutions. The company has worked with clients in over 20 states.

Business Use-Case

Due to the nature of their business, the company had to keep up with the constant data input. From adding phone numbers to cross-referencing districts, this political marketing company worked with data from various sources. The company needed to easily export subfiles as needed to work through both small and large projects, as well as combine multiple lists into one master file.

Our Solution & Benefits

DataMatch™ speed up the process of combining and working with multiple lists. It helped match data sets more quickly, as well as easily export files. The fact that all the needed tools were available on one software platform also made it much more convenient.

DataMatch™ not only helped decrease labor by several hundred hours, but it also provided convenience by being a streamlined, one-stop solution for all their data needs.

“We like the way it speeds up the process on anything we do with data, instead of having to run scripts.”

– Aaron Evans, Owner

About DataMatch Enterprise

DataMatch Enterprise is a user-friendly and powerful software that helps business users across many industries manage their data more effectively and drive their bottom line. Our enterprise-grade matching tool has been proven to find approximately 5-12% more matches than leading software companies IBM and SAS in 15 different studies. Let Data Ladder be your partner in your next marketing campaign. Increase your sales by offering data cleansing services through DataMatch™.

To get started with DataMatch Enterprise for your needs, click Contact or Download Trial.

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Check out DME resources

Merging Data from Multiple Sources – Challenges and Solutions

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