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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

Drive-thru
Patio seating
Morning commuters
Format

First-year sales

$664K↑ 4% vs comparables

Forecast

$664K$598K to $737K

Comparables

$640K$500K to $790K

Months to build. Seconds to run.

  1. The first 30 days

    Discovery

    Your sales history shows who your customer is and what drives sales.

  2. The next few months

    Build it together

    Weekly back and forth until your team can defend every input.

  3. 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 team
  • A dedicated data scientist.

  • Built with you, not for you.

  • A refresh every quarter.

Their next stores sold more per square foot

A Books-A-Million store

$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.”
VP of Real EstateMulti-location veterinary group

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
My Stores in the GrowthFactor platform: a demo brand's 106 stores, each with its address, square footage and annual sales.

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

Book a demo

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