(815) 717-6195    info@CUXcel.com

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Branch Siting & Market Strategy

Opening, Closures, Redesign, Individual Branch Plans, New/Existing Market Plans, Mergers…

We Provide
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Industry Leader in Branch Strategy

Expert consultant with 27+ yrs. delivering Market Analysis & Studies and Strategic Consulting

We Lead
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Actionable & Reliable Deliverables

The most Accurate Mapping Methodology, more Relevant Inputs, Advanced Modeling, and more

We Differ

Expert Consulting


Years Studying Markets

Our experience extends beyond delivering market studies, but also tracking branch growth thereafter.


Consulting Engagements

As a strategic planner, Kevin's market strategies are consistent with the full business model.


Full Market Studies

A full-market study builds great depth in understanding, well beyond a typical market analysis.


Regions Analyzed

From rural markets to major cities, each market strategy requires a very specific formula for success.

Our Promise

Actionable and Reliable Output

Market studies typically end with either multi-million dollar investments or branch closures and jobs lost. This is why we don't cut any corners and have built a methodology that leaves no stone unturned.

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We Dig Deeper

Market data will tell false stories if it is not manipulated properly.

Here are a few ways BranchXcel stands out from the rest when it comes to data refinement.

Block Level

If household count is off, then entire study is off. Block level is typically 30-50% more accurate than any other method.


Branch competition is the most significant variable in any analysis; therefore, we have built a 20-point Predator/Prey study.


You are your own best teacher. Primary, existing branch performance data is a key component in baselining for a new branch.


HMDA, Peer, Account, and other factual data play key roles in validating and adjusting estimates out of secondary market data.

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Importance of Block Level

We have modernized and redefined market analyses in this industry with a whole new set of standards for data reliability, starting with block level analytics.

EVERY metric in a market analysis will relate to a geographically defined area. To create these areas, some providers combine census tracts (84K in the US), others combine block groups (240K), and we are the only provider who combines census blocks (8.1 Million).

It took more than 2 years of development, hundreds of formulas, and some very powerful computers for us to extrapolate relevant market data (captured at all different levels) down to the block level. Without this, every reported metric would have a minimum deviation of 30-50%, and no bank or credit union should make multi-million dollar branching decisions with that level of uncertainty.

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27% Overstated

EVERY metric out of the Block Group based study above would be overstated by 27%. Why? Consider a puzzle where the Block Group pieces are 33X larger than the Block pieces.

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Competitor Analysis

Branch competition is the most significant variable in building branch output estimates; therefore, we have built a 20-point Predator/Prey analysis.

This analysis includes numerous qualitative metrics, one of which is market momentum. Competitor momentum stems from our unique library of 100,000+ Bank/CU branch locations, containing dates for branch openings, closures, merged in/out, and purchased locations over the past 10 years.

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Client Data

By analyzing an existing branch's performance while holding constant its local demographics, competitors, etc., we can better estimate a proposed branch's output.

We can work with any data inputs you can provide. In addition to this financial data, we also consider brand image, marketing efforts, branch origins, longevity and all other factors that may have helped/hindered a branch's growth.

The webinar above is a high-level example of using client data to estimate the outcome of closing a branch.

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Factual Data

Another way we have modernized market studies is by blending more factual sources into more advanced formulas. 

Most market data comes from consumer surveys, which is then converted into more reliable metrics by adjusting it using calculations that combine the "factual" data with the survey data.

For example, to arrive at population growth estimates, we blend multiple sources including census published estimates, renter data, construction data, and more. Plus, to carry these projections down to the block level we also blend in factual data, such as mortgage closings (HMDA), USPS "movers" data (below), and more.

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© 2022 CUXcel, LLC Contact Us

400 E. Lincoln Hwy, Suite 101
New Lenox, IL. 60451
(815) 717-6195.