What Happens When Branches Stop Guessing and Start Preparing
By Jacob Reeves, General Manager at FMSI
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A credit union we’ve worked with for the past five years sent over its year-end numbers recently, and one number jumped out at me: In 2020, a little over half of the people walking into its branches had scheduled the visit in advance. By 2025, that number was 86%. Nearly nine out of ten people who walk into that lobby now are expected before they arrive.
That’s the kind of shift that’s easy to miss if you’re only watching total foot traffic, because the traffic itself doesn’t necessarily look dramatic day to day. The composition of it has changed almost completely, and that’s the part most institutions aren’t measuring yet.
That same credit union is a mid-sized institution in the Northeast: eight branches, tens of thousands of members. Total appointments booked grew 334% between 2020 and 2025, and they grew every single year along the way, with no down year and no plateau once the initial rollout period ended.
Member self-service bookings (appointments members set up themselves rather than staff entering them manually) went from 58% of the total in 2020 to 88.5% in 2025, even as overall volume more than tripled. The remaining bookings came through the credit union’s member portal rather than a phone call to a branch, so even the appointments members didn’t set up through the public widget were still self-directed.
Key insight: We’re using this credit union’s data as an example, anonymized here, but it’s not an outlier. We work with more than 140 credit unions and banks across the country, and this same curve shows up again and again once scheduling moves from optional to expected.
How We Got Here
The path wasn’t perfectly smooth, either, which is part of why it’s a useful example rather than a highlight reel. In 2021, scheduled visits dipped to 45% of total lobby traffic, down from 54% the year before, even as the total number of appointments kept climbing.
Branches were reopening fully after a rough stretch that year, and walk-in volume grew faster than scheduled volume for a while before the trend caught back up. From 2022 on, scheduled visits held between 78% and 86% of everything happening in the lobby for four straight years, a longer run of stability than any single strong year would suggest.
Walk-in counts and total branch activity stopped being the same measurement a while ago. An institution that only tracks unplanned foot traffic is tracking a shrinking slice of what’s actually happening at its branches.
Staffing Used to Run on Averages
For most of banking history, branch staffing worked off an average. You looked at how many people typically came in on a Tuesday, staffed to roughly that number, and hoped the actual day didn’t stray too far from the plan. A customer or member with a two-minute card replacement stood in the same line as someone opening a new account or applying for a loan, because there was no way to know who was coming or why until they walked through the door. Managers spent most of their day reacting, adjusting staff on the fly and hoping it held up.
That was exactly the problem facing the credit union in this example before it rolled out scheduling. There was no reliable way to see the next day’s demand coming, which made staffing, service, and branch planning harder than they needed to be, and it’s part of what pushed the credit union toward a different approach.
Key insight: Scheduling flips that. Same volume of need, but now the branch knows what’s coming through the door and can staff for it instead of guessing. Once a credit union or bank gives customers or members an easy way to book a visit online, particularly when that option sits directly on the institution’s own website rather than a separate app they have to be told about, the booking behavior tends to build steadily rather than spike after launch and fade. A manager working from a forecast can staff for the actual mix of the day, with enough people at the counter for routine requests and someone with the right expertise available when a loan application or a new account comes through the door.
What Shows Up Once You Can See It Coming
The composition of those scheduled visits is where this gets more interesting than a simple efficiency story. At the credit union in this example, card replacement, account questions, and account closures remain the highest-volume reasons members come in, which tracks, since those are the everyday needs that used to fill up a teller line. But new membership openings and consumer loan applications both rank among the top five use cases as well.
Those are the conversations most likely to build the relationship and generate revenue, and for years they got squeezed into whatever time was left between walk-ins. When a branch can see those appointments coming, staff can move through the day in order instead of stopping a loan conversation to handle whoever just walked in, and that difference tends to show up in how the conversation actually goes.
The Real Measure of a Healthy Branch
It’s tempting to measure branch health by how many customers or members come through the door, but that number was never a great proxy to begin with. It mixed together a two-minute card replacement and a thirty-minute loan conversation and counted them the same. A branch that gets less unplanned traffic but a lot more scheduled traffic, with a growing share of it tied to the visits that matter to the relationship, is in a stronger position than the walk-in number alone would suggest.
Key insight: None of this requires guessing what members want or rebuilding how a branch runs. It comes down to giving people an easy way to tell the branch they’re coming, then building the staffing plan around what that calendar shows instead of what last year’s averages assumed. The credit union in this example embedded its booking option directly on its own website rather than routing members to a separate app, which meant scheduling was part of the same digital visit members were already making rather than an extra step they had to be told about.
Bottom line: If your institution is still leaning on walk-in counts to gauge how the branch channel is doing, ask a more specific question instead. How much of tomorrow’s traffic can you actually see today? What would change about how you staff and prepare if that number were higher? The credit union in this example spent five years building toward that. The result is a branch that’s rarely surprised by what walks through the door.
