
For operators with 40+ stores · Capped at 4 brands/month
Who is your customer, really?
Find out what separates your strongest stores from your weakest. We test thousands of spatial, demographic, and site scenarios against your sales history in 30 days. Normally $5,000. Waived for qualifying brands with 40 or more stores.
- Who your customer really is, based on who actually spends
- Which site variables drive revenue, and which to stop screening for
- Your true trade area, calibrated to your concept and road network
Brands that already open stores this way









What you walk away with
Three answers every expansion plan is built on.
Read from your own store sales, not an industry average. Yours to keep on day 30 whether or not you continue into Labs.

Where it leads
Discovery is day one of GrowthFactor Labs.
The Discovery findings stand on their own. They are also the feature-selection foundation for what our data science team builds next: custom revenue forecasting you can defend to your board.
A custom sales forecast for candidate sites
A predictive model built on the variables Discovery validated, trained on your store portfolio. Every prospective site gets a projected revenue range with an open error band, traced to its exact inputs.
Whitespace and market prioritization
Identify where your customer lives and your brand has no presence yet. Expansion markets that mirror your top performers, sized by unserved demand and prioritized for rollout.
Cannibalization and portfolio impact
Measure how much revenue a new location will pull from existing units. Model own-store overlap before lease negotiations begin so you do not expand on top of yourself.
Discovery is free for qualifying brands. Labs is scoped and priced per engagement. You decide after the day 30 findings walk-through.
Thirty days
How the month goes
Day 0
NDA first, then one simple CSV
We execute a mutual NDA before you share a thing. Then you send a single CSV with store addresses and annual sales. If you track internal attributes like entrance counts, store format, or loyalty data, we fold those in too.
Days 1 to 25
Machine learning across thousands of scenarios
Our data scientists test thousands of feature combinations across your locations. We benchmark your stores against foot-traffic dayparts, demographics, and road networks, isolating the true drivers behind your sales.
Day 30
Executive findings walk-through
A 45-minute working session with your real estate team. We walk through your 16-page deck, review the drivers behind your top quartiles, and hand over the complete findings. Yours to keep either way.



Sample deck
See what you'll get.
Sixteen pages from a completed Discovery for a 63-store coffee brand. Real methodology, showing how exploratory analysis narrowed candidate variables to 9 model features and revealed a 5-minute true trade area.
Where this has led
Fewer guesses, better stores
14.1%
higher sales per square foot in new Books-A-Million stores, the #2 book retailer in the US
6 → 19
new Books-A-Million stores opened in a year, on the same headcount
9 → 27
new Cavender's stores opened in a year, every one at or better than expected
“Other services hide behind black-box models that are hard to trust. The beauty of GrowthFactor is they make site selection incredibly simple, and give us clear unbiased recommendations.”

Questions
What people ask before they send data.
Why is Discovery free?
Why is monthly intake limited?
Why 40 stores?
What do you need from us?
How do you protect our sales data?
Who does the work?
What happens after day 30?
Is this a software trial?

GrowthFactor Discovery
Thirty days to stop guessing.
Know who your customer really is, which variables move your sales, and how far people travel to reach your brand. From your own stores, at no cost.





