For retail brands that can't afford guesswork
Forecasts Built on Your Stores. Not a Generic Model.
Generic demographic models miss what makes your brand work. GrowthFactor trains on your actual store performance to predict which sites will succeed — and which will bleed for a decade.
Fig. Retail Brand Leaders
The Challenges You Face
- 01
Generic models, generic results
Off-the-shelf forecasts don't know your brand, your customers, or what makes your top stores win
- 02
Can't explain the number
Black box scores leave you unable to defend a recommendation in committee
- 03
Pipeline invisibility
No one knows where deals stand without asking around
- 04
Assembling, not analyzing
Your team pulls data from five tools before they can evaluate a single site
- 05
Bad sites bleed for years
One underperformer drains capital for a decade. The cost of a bad site dwarfs everything else.
The Cost of Inaction
8.9X ROI
Books-A-Million returned 8.9x on their GrowthFactor investment in year one. The cost of one bad site — a 9-month build, $1–10M capex, a 10-year lease — dwarfs a decade of software spend.
Books-A-Million, confirmed by CFO
Your Workflow, Transformed
From Weeks to Minutes
Before GrowthFactor
Pull customer data and match to census tracts
1 day
Build look-alike model in spreadsheets
2 days
Cross-reference competitor locations from multiple sources
4 hrs
Run cannibalization check manually per site
3 hrs
Build a deck for committee
1 day
Total time
4 days, 7 hours
With GrowthFactor
AI trains on your store performance data
1 hr
See sites ranked by predicted revenue
10 mins
Review cannibalization impact automatically
5 mins
Export committee-ready report
15 mins
Total time
1 hour, 30 minutes
GrowthFactor trains revenue predictions on your stores, your markets, your performance data. Every score is explainable — five lenses, traceable to source. When your committee asks 'where did this number come from?' you have the answer.
Key Capabilities
What You Get
Fig. 01
Models trained on your portfolio
Revenue predictions built on your actual store performance, not industry averages
Fig. 02
Explainable scoring
Five lenses, every score traceable to source. Walk into committee and defend any number.
Fig. 03
Visual pipeline
See every site in the pipeline. Know what's moving without asking around.
Fig. 04
Cannibalization modeling
See the impact on existing stores before committing capital
See It In Action
See how retail brand leaders use GrowthFactor
From first search to final report — watch the workflow that replaces spreadsheets, manual research, and guesswork.
Request a live walkthroughSearch any address
Review AI-generated scoring
Export board-ready report
Video demo coming soon
GrowthFactor accelerated our team's new store site selection process, allowing the team to expedite the review of hundreds of potential sites as part of a complex bankruptcy auction.
Matthew Furnas
Books-A-Million
Results That Matter
8.9X
ROI at Books-A-Million
3X
Expansion rate
700
Sites in 72 hours
25 hrs
Saved per analyst, per week
Confirmed by their CFO after year one
Cavender's went from 9 stores to 27 in one year
BAM evaluated Party City bankruptcy sites over a weekend
Books-A-Million eliminated the spreadsheet scramble
ROI Calculator
Are you leaving locations on the table?
See how much market coverage you're missing
Sites your competitors evaluate that you don't
60
Your annual site evaluations
300
With GrowthFactor (5x throughput)
8
Markets with potential gaps
Your competitors are evaluating 140 more sites per year. GrowthFactor closes the gap.
Coverage gap based on competitor evaluation capacity. 5x throughput increase from GrowthFactor AI-assisted evaluation.
See how it works for your brand
We'll show you how custom models work with your portfolio data — not a generic demo.