Ask most credit unions how they chose their last branch location and you'll hear some version of the same answer: demographics looked good, a site was available, it felt right. The analysis behind it almost always rests on public data — Census figures, NCUA reports — the same numbers every institution and every competitor can pull. The problem isn't that public data is wrong. It's that it describes the past. It tells you who lived in a market and how branches performed historically. It can't tell you where demand is actually heading, or which location will perform three years from now.
That gap is where most branch site selection goes sideways. A location that looks strong on paper underdelivers, and by the time the numbers come in, the capital is already spent. Better decisions start with better data. Layering in transaction patterns, product demand, and branch-level performance — the kind of signals that don't show up in a Census table — changes the question from "what does this market look like?" to "how will a branch here actually perform?" That shift, from describing the past to forecasting the future, is the difference between a market study and a real branch network strategy.
It's also why we built Momentum Location Intelligence the way we did. After a decade of helping credit unions put the right branches in the right places, we've learned that the institutions that grow well aren't guessing — they're working from data their competitors don't have.
If your next branch decision is coming up, it's worth asking what data it's really resting on.