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Harness the Power of Predictive Analytics with Momentum Location Intelligence

Momentum Location Intelligence helps you realize the full market potential of your institution while optimizing your network, strategizing to enter new markets, and predicting your financial performance.

The Momentum Location Intelligence Difference

Predictive, Not Descriptive: We don't simply summarize demand and competition data. We use machine learning models to weigh hundreds of opportunities in a market and predict where YOUR credit union or community bank will perform its best.

Unparalled Accuracy: We analyze hundreds of potential locations in a market, providing location recommendations at the street intersection level.

Proven Results: Momentum Location Intelligence has helped dozens of our design-build FI clients grow over the past twenty years.

Proprietary Dataset: Go beyond NCUA and Census data with the most powerful financial services demand dataset available.

Trusted By Industry Leaders: Precisely datasets are used by 90 of the Fortune 100 companies and by some of the nation's largest credit unions, banks, restaurants, and retailers.

Backed By Industry Expertise: The Momentum team brings decades of location analytics experience to the table, providing the context and tactics you need for a winning strategy.

How does it work?

We feed the strongest dataset in the industry alongside your brand franchise value and goals into a machine learning model that predicts the performance of new branches, renovations, and closures across thousands of locations in your target market.

The result: A targeted list of the best locations, down to the intersection level.

Powered by Precisely

Momentum Location Intelligence is powered by Precisely’s proprietary datasets and financial performance modeling technology, giving your institution access to the same level of predictive analytics that the big banks are using.

 

Lock down the best branch locations before the competition does! Reach out today and let Momentum help you find them.

 

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