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.
Every forecast is anchored to stores you already run — median $2,591,503 across the chain.
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
14.1% lift
Books-A-Million tripled new store openings in a year, and those stores sold 14.1% more per square foot. 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, GrowthFactor Labs engagement
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
The model 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.
What You Get
The product, doing the job
A model trained on your portfolio
Forecasts come as a range anchored to stores you already run — and when a strong-looking site predicts below your chain median, the model says so before you sign.
The catch generic reports miss
A site can carry a 95 demographics score and still fail on access. The lens breakdown shows exactly which input dragged the number down, with the justification in plain language.
Cannibalization modeling
See how much of a candidate's trade area overlaps stores you already own — and what the overlapped store does in sales today — before committing capital.
Every deal on one board
Score, lens breakdown, files, and comments travel with each site from first look to signed lease. The whole team sees the same pipeline.
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.
Mike Cavender
Co-Owner and Head of Real Estate, Cavender's
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
8
Markets with potential gaps
Every one of those sites is a corner your competitor knows better than you do.
Coverage gap based on competitor evaluation capacity. 5x throughput increase from GrowthFactor AI-assisted evaluation.
Results That Matter
14.1%
Sales lift per sq ft at Books-A-Million
3X
Expansion rate
~$2M
Saved by Cavender's
Across the 19 stores they opened in 2025, up from 6 the year before, on the same headcount
Cavender's went from 9 new stores a year to 27, every one at or better than expected
Three poor locations flagged before signing
See a model built for your brand
We'll show you how forecasts trained on your stores compare to the generic model you're using now.