You can’t defend a recommendation you can’t explain

“I don’t trust AI with a multi-million-dollar decision.”

Good — don’t. A chatbot guessing at your market is exactly the thing to be afraid of. GrowthFactor’s score is computed from real data — foot traffic, demographics, competition — and every input is visible, so your team verifies the math instead of trusting it.

Skeptical of cell-phone foot traffic too? You should be. We name its failure modes — multi-story buildings, thin samples — instead of papering over them. The model has to survive your questions; your team owns the recommendation.

Every input traced to its source

“We have a process that works. I’m not retraining my team.”

You don’t have to walk away from anything. GrowthFactor sits alongside Placer, Buxton, Esri, or the model you built in-house — most customers start by running us in parallel and comparing answers on sites they already know.

It’s built to feel familiar, too. We built GrowthFactor alongside veteran analysts from national chains, so the maps, trade areas, and reports work the way your team already expects — not a new workflow to learn, the old one with fewer tabs.

And there’s no IT project on the other side of the contract: sign up, upload your sites, first report the same day. If we don’t earn a place in your workflow, you’ve lost a day, not a quarter.

Runs alongside what you already have

“Our data is special. No platform can model our business.”

We’re counting on it. Every Labs engagement starts with your data — sales history, loyalty, your own competitor list, whatever your business actually measures — and a data scientist builds the forecasting model with you, documented down to the variable.

Then it has to prove itself: the model forecasts stores you already operate before you trust it on ones you don’t. If it can’t explain your existing portfolio, you don’t have to believe it about the next market.