GrowthFactor Launches Market Planning and Becomes the AI Analyst for Commercial Real Estate
Retail real estate teams can now ask GrowthFactor questions in plain English (where to open next, whether a site is worth pursuing, what a new store does to the fleet) and watch it run the analysis. Market Planning brings whole-market studies to every conversation, and GrowthFactor Pro makes it self-serve at $200 per user per month.
At launch
~10s
Address to committee-ready report
5+
Scoring lenses, every input traced
$200
Per user / month, self-serve
Boston, MA, August 3, 2026. GrowthFactor today launched Market Planning and a rebuilt, Agent-first product experience, repositioning the company as the AI analyst for commercial real estate. Retail and multi-unit teams ask questions in plain English; GrowthFactor selects the relevant tools, pulls demographics, traffic, competition, and trade-area data, runs the analysis, and explains the result in maps, tables, and plain language, with every step visible while it works.
The release opens Market Planning to every customer in public beta: a whole market planned in one conversation, with trade zones, cross-site cannibalization, and demographic fit for every candidate on the map, and revenue forecasts as a range on any of them. Alongside it, GrowthFactor Pro puts the full product on a single seat, self-serve, at $200 per user per month, no sales call required.
Software that thinks in questions
Expansion teams think in questions, but most real estate software makes them think in tools and workflows. Demographics live in one tab, foot traffic in another, the forecast in a spreadsheet, the deal history in a deck. The actual question, "where should we open next?", never has a place to be asked. GrowthFactor inverts that: the question is the interface, and the platform underneath does the work.
The answers stay accountable. Every site score opens into five or more configurable lenses with every input traced to source; forecasts arrive as a range, not a single brave number; and the analysis runs where the team can watch it. GrowthFactor does the analysis. The team makes the call. That posture, an unbiased second opinion rather than a replacement for judgment, has defined the product since its first customers: it is the same workflow Books-A-Million, the #2 book retailer in the US, used to deliver an 8.9x ROI on its real estate investment, Cavender's used to triple new store openings, and TNT Fireworks used to open 153 locations in six months, 100% on budget.
The analysis draws on licensed data from Esri (demographics and psychographics), Unacast (foot traffic), StreetLight (vehicle traffic), dataplor (points of interest, from competitors to complementary businesses nearby), and Zoneomics (zoning), alongside each customer's own portfolio data and custom map layers. It reaches teams wherever they work, in the product or through the first MCP integration in commercial real estate, connecting GrowthFactor to Claude, ChatGPT, or any MCP-compatible AI client.
We built the best site evaluation tool on the market, but that's not what the market needed. What we realized after listening to our customers was that you don't think about an individual location for the sake of the location. You think about your real estate portfolio strategy. That's why we're launching the new Market Planning feature in GrowthFactor that lets you understand your whole portfolio, all at once, with AI.
Market Planning
Whole markets, planned in conversation
Plan a whole market in one conversation
Give GrowthFactor a market and a set of addresses, pipeline deals or brand-new candidates alike. It draws trade zones, runs the analysis, and ranks the field.
Cross-site cannibalization
The plan models how candidates cannibalize each other and the existing fleet, before a lease is signed, not after.
Forecasts as a range
Revenue projections arrive as a range, not a single brave number, with every input traced to source.
Live to the plan
Add or drop sites and the plan updates: a committee-ready market plan in minutes, not a quarter.
Maps, tables, and explanations
Answers come back as working artifacts: layers, annotations, and saved studies, not a chat bubble.
Every step visible
GrowthFactor shows the tools it calls and the data it pulls while the analysis runs. Interrogate any number before you act on it.
Customer outcomes
8.9x
ROI for Books-A-Million
3x
New openings at Cavender's
153
TNT stores in 6 months
In Practice
The questions teams are asking
Where should we open next?
An expansion team hands GrowthFactor a metro and their fleet; it returns ranked candidates with the math behind each call.
Is this site worth pursuing?
A 0–100 score across five lenses, every input traced, scored against the brand's own criteria rather than an industry average.
Will this cannibalize our stores?
Overlap modeled against the existing fleet, quantified per store, before the deal advances.
How do I defend this recommendation?
Open the score, show the lenses, hand over the forecast range. The committee sees the same math the model used.
FAQ
Frequently asked questions
About GrowthFactor
GrowthFactor is the AI analyst for commercial real estate. Retail and multi-unit teams ask it questions in plain English: where to open next, whether a site is worth pursuing, what a new store does to the fleet. Then they watch it find the data, run the analysis, and explain the answer in maps, tables, and plain language. Every score opens into five lenses with every input traced to source; forecasts arrive as a range, not a single brave number; and a named data scientist builds the model with your team. It does the analysis; your team makes the call. Customers include Books-A-Million, Cavender's, and TNT Fireworks. GrowthFactor Pro is self-serve at $200 per user per month.
Founded in 2023 and headquartered in Boston, GrowthFactor has raised $5.2M in seed funding.
Media contact: hello@growthfactor.ai
Learn more at growthfactor.ai.
See it in action
Ask GrowthFactor something
Take the interactive tour and watch it plan a market, or start with GrowthFactor Pro today, self-serve and month to month.