Forecast sales for a new store before the deal closes
Labs builds a sales forecast on your own stores, with your team. Once it's built, it forecasts any site in under 10 seconds.
1 BroadwayCambridge, MA
Forecast
Site properties
First-year sales
$664K↑ 4% vs comparables
Forecast
$664K$598K to $737KComparables
$640K$500K to $790KMonths to build. Seconds to run.
The first 30 days
Discovery
Your sales history shows who your customer is and what drives sales.
The next few months
Build it together
Weekly back and forth until your team can defend every input.
From then on
Run it in seconds
Then it sits in the platform and answers in seconds for any site you check.
How many more stores will your markets hold?
Labs sizes your footprint the way it builds a forecast: on your own stores, with your team. Every count comes with what it assumed, so you can argue with it.
- Stores each metro can support.
- Markets ranked in the order to open.
- How much overlap a new store is allowed.
Questions go to the person who built the model
Meet the Labs teamA dedicated data scientist.
Built with you, not for you.
A refresh every quarter.
Their next stores sold more per square foot

$159$182
Per square foot, Books-A-Million's 2025 openings outsold 2024's by 14.1%.
“We thought we understood what made a good site. GrowthFactor showed us our primary KPI was hiding the real story — and the variables we'd been ignoring were the ones that actually predicted revenue. Now every forecast is built on what drives our business, not assumptions we never tested.”
Start with thirty days on your own sales
Discovery finds who your customer really is, which variables drive your sales and your true trade area. Every forecast starts there.
$5,000, free for brands with 40+ stores.
Start Discovery
Before the first model
Generally 40 or more mature stores with revenue data. The model learns from your own sales history, so it needs enough open, stable stores to find the variables that drive revenue. Discovery, a 30-day analysis of that history, is the first step.
A few months. GrowthFactor Labs builds and fine-tunes the model with your team through regular back and forth, starting with Discovery. Building the model takes months; running it takes seconds.
Under 10 seconds. Once built, the model runs inside the GrowthFactor platform. Enter an address or drop a pin and the forecast comes back as fast as a site evaluation. Teams can toggle inputs on and off to see how each one moves the forecast.
Yes. The platform can load a forecast model built somewhere else, including by another company, alongside the Labs model. Teams keep several models and toggle between them on the same site.
Yes. Whitespace for one metro runs in the platform: merge your stores' drive times, subtract them from the market and see what's left. Labs takes it across your whole footprint. It works out how many stores each metro can support from how your own stores perform, ranks the markets in the order to open them, and sets how much a new store may overlap the ones you run.
No. Your model is built on your stores and serves only your brand. Store sales data is never pooled across retailers, and nothing learned from your data informs another client's model.
With Discovery, a 30-day analysis of your sales history. It's normally $5,000 and free for qualifying brands with 40+ stores. Forecasting work in Labs follows from what Discovery finds.
Bring the store you can't explain
Live in a daySOC 2 compliantMIT Sloan Most Disruptive MBA Startup, 2025