Everyone gets paid when the deal closes. You live with the store.
And you walk in with the least data in the room. GrowthFactor changes that, with a forecast trained on your own stores and the reasons behind every site.

The side that lives with the store should know the most
- A new store is a ten-year commitment, and the retailer carries it alone.
- Brokers bring the market and the negotiation. Pulling the numbers shouldn't be their job too.
- So we do the numbers, and everyone at the table works from the same facts.
One job. Eight or nine tools.
- That's what Books-A-Million's team was juggling to pick a site.
- Clyde grew up in that business and has been evaluating sites since he was 15.
- Raj built predictive models for Fortune 500 companies at Deloitte. Sam ran operations at Chord Commerce after Bain.
- At MIT Sloan, the three of them built one platform. Books-A-Million became customer #1, and it's still a reference.
More stores, in the right places
Where we're taking it
- Today
Every site forecast on your own stores in seconds, with the reasons showing.
- Next
Every site you weighed on file, with the number you had when you said yes.
- After that
How each store actually did, next to that number, so your forecast learns from your own openings.
Backed, audited and recognized
$5.2M seed from investors including Teamworthy VenturesMITMIT Sloan Most Disruptive MBA Startup, 2025ΔvAlumni of delta v, MIT’s student venture accelerator
SOC 2 compliant
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Live in a daySOC 2 compliantMIT Sloan Most Disruptive MBA Startup, 2025

