The confidence crisis
ICSC ran a piece this month with a title that should stop every real estate team cold: "The Confidence Crisis: Why More Data Hasn't Made Retail Site Selection Easier."
Sit with that. We are living through the greatest expansion of location intelligence in the history of the industry. Foot-traffic data, mobile-movement panels, trade-area models, AI-generated revenue forecasts. And after all of it, the people who actually pick sites feel less confident, not more.
The numbers around the trend tell the same story. A large majority of commercial real estate firms are now running AI or analytics pilots. Only a tiny fraction report hitting the goals they bought those tools to achieve. The gap between "we bought a platform" and "we make better decisions with it" is enormous, and it isn't closing.
Here's the part nobody selling data wants to say out loud: the data was never the bottleneck.
What the data actually answers
Location-intelligence platforms are genuinely good at one question: is this site good? Point them at a candidate and they'll return foot traffic, demographics, a void analysis, a revenue forecast. That's real, and it's useful.
But "is this site good?" is not the question that stalls a deal. The question that stalls a deal is: how does this team decide, together, and prove it later?
Those are completely different problems. The first is a data problem, and the industry has thrown a decade of investment at it. The second is a coordination problem, and almost nobody has touched it.
Why the decision is the hard part
Think about who's actually in the room for a site decision. An analyst who built the model. A real estate director who has to defend the pick. A CFO who wants the downside written down. A committee that will approve or kill it. And outside the room entirely (a broker, a landlord, a franchisee) whose information changes the answer.
More data doesn't help that group agree. It often makes things worse: two analysts pull the same platform, weight the factors differently, and arrive at two defensible-but-opposite recommendations. Now you're not debating the site. You're debating whose spreadsheet to trust.
And six months later, when the committee asks why did we pick site C over site B?, the honest answer is usually that nobody can fully reconstruct it. The reasoning lived in someone's head and a deck that's three versions out of date. The data was pristine. The decision was undocumented.
What actually moves it
The fix isn't another data feed. It's structure around the decision itself:
- Weighted scoring the whole team can see: so "we scored it a 7" means the same thing to the analyst, the director, and the committee, because the criteria and weights are explicit and shared.
- The financial model attached to the site, not emailed around it: one place, versioned, so the CFO's downside case doesn't live in a separate workbook.
- A written risk register and pros-and-cons: the discipline of saying, on the record, what could go wrong before you commit.
- A sequential approval trail: so the decision has authors and timestamps, and why we picked C over B is reconstructable a year later, not reconstructed from memory.
The honest read
Buying more location data when your problem is a fractured decision is like buying a faster car when the real issue is that four people are fighting over the wheel. The confidence crisis ICSC named isn't a signal to spend more on data. It's a signal that the decision layer, where a coalition of people who don't share a system of record has to agree and defend a choice, has been ignored.
That's the layer MYDealTeams is built for. Not another answer to is this site good? The industry has plenty. A structured place for the whole deal team to decide together and prove it later.
It's free during Early Access: Community free, Pro $69/month, everything free while we're in Early Access. If your team has more site data than ever and less confidence than ever, that gap is exactly what we built to close.
Source: [ICSC: The Confidence Crisis](https://www.icsc.com/news-and-views/icsc-exchange/the-confidence-crisis-why-more-data-hasnt-made-retail-site-selection-easier)