Who is your customer, really?
Thirty days on your own sales history shows what separates your strongest stores from your weakest. Normally $5,000, free for qualifying brands with 40+ stores.
Get the sample deckBrands that already open stores with GrowthFactor
Three answers every expansion plan is built on
A profile of the people who make your top stores perform, based on who actually spends.
How the month goes
Day 0
A mutual NDA, then one CSV.
Store addresses and annual sales. Anything else you track is optional.
Days 1 to 25
Our data scientists test thousands of scenarios.
Foot traffic by daypart, demographics and road networks, against your sales.
Day 30
The findings walk-through with your team.
45 minutes on your 16-page deck. The findings are yours either way.
Thirty days with the people doing the work
A studio chain wanted to know whether we would have approved its existing doors. Using only its customer file, before seeing any sales, we ranked its strongest studio first and weakest last. Its COO said the ranking reflected reality. With your sales in hand, Discovery goes further.
The people who ran the numbers walk you through them
You get named data scientists on the findings call with your team. Challenge any finding, and they'll show you the work behind it.
“We've used other analytics firms, for the most part, they're pretty good. However, I think GrowthFactor has been a better communicator. We don't strictly see the data, we're constantly in contact with the team there at GrowthFactor. That's made a lot of difference.”
We test what you already believe
Every variable your team evaluates gets tested against your own sales. Some stand up to that test; we flag the rest.
“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.”
See what you'll get
Sixteen pages from a sample Discovery for a 63‑store coffee brand.
Discovery is day one of Labs
Labs is scoped and priced per engagement.
- A test on every store you runEach one forecast as if it were new, then checked against what it sold.
- A sales forecast for candidate sitesA model trained on your stores, built on the variables Discovery validated.
- Whitespace and market priorityMarkets that mirror your top performers, where you have no store yet.
- Cannibalization and portfolio impactHow much a new store pulls from the ones you already run.
Fewer guesses, better stores
14.1%
Higher sales per square foot in new Books-A-Million stores.
619
New Books-A-Million stores in a year, same headcount.
927
New Cavender's stores in a year, every one at or better than expected.
“With GrowthFactor, Books-A-Million has achieved an ROI of almost 9x, resulting in millions of dollars in new revenue.”
What people ask before they send data
Discovery is how we earn the right to build your custom forecasting model. Discovery normally carries a $5,000 price tag, waived for Labs customers. For a limited time we are waiving it for qualifying brands with 40 or more stores. If you stop at day 30, the deck and findings are 100% yours to keep.
Discovery is hands-on data science, not an automated export. Our team models thousands of spatial, demographic, and foot-traffic scenarios against your store sales. To maintain depth and guarantee a 30-day turnaround, we cap intake at 4 brands each month.
Below about 40 stores, two or three outlier locations can skew the correlation matrix and produce unreliable signals. If you are close to 40 stores or growing rapidly, request it anyway. We will tell you plainly what your data can support.
A single CSV with store addresses and trailing 12 months of sales. Physical store specs, closed stores, and loyalty metrics help if you track them, but are completely optional.
We execute a mutual NDA before you share any files. Your store locations and sales figures are used solely to analyze your portfolio. We never share your data, pool it across retailers, or use it to train models for other customers. Everything can be permanently deleted upon request.
GrowthFactor Labs data scientists, founder-led: every engagement is overseen by our CEO and CTO, never handed off to junior contractors. You get named data scientists on the findings call, not a ticket queue.
You decide. Most teams take the validated variables into a Labs engagement: a custom sales forecast for candidate sites, whitespace analysis, or cannibalization modeling. If you choose not to proceed, you keep the deck with no obligations.
No. Discovery is rigorous analysis delivered by data scientists, not a software trial. There is no software to install and no login to configure. You send the store files and we do the heavy lifting.