Every US franchisor is required to file a franchise disclosure document, and every FDD says more than the franchisor probably intends it to: unit growth, which point-of-sale system is mandated, how the royalty rate is trending, whether the brand is expanding into new states. That’s a genuine franchise database hiding in plain sight; it’s just written in 200+ pages of legal language and re-filed every year. FranCloud exists to read that database at scale, so a person doesn’t have to.
FranCloud is franchise sales intelligence for software vendors, not franchise management software, and it is not affiliated with FranConnect. If you want ChatGPT, Claude, Cursor, or MCP access to filing-backed signals, start at francloud.com/ai. For the full definition and FAQ, the homepage remains the canonical product page.
What does FranCloud actually do?
FranCloud is an FDD database plus an analysis layer on top of it. It ingests the disclosure filings of thousands of active US franchise brands, extracts the figures that matter: unit counts, average unit volume, royalty and ad-fund percentages, mandated technology, growth rate, and layers context on top so a raw number turns into something usable: a fit score, a signal, or a ranked account.
The distinction the platform draws is between data and meaning: the numbers are disclosed; the work is in what they mean. A franchise growing 8% year over year with no mandated back-office system is a very different sales conversation than a shrinking brand locked into a five-year vendor contract, and that difference only shows up once someone has actually read the filing.
How does it work?
- Give it a URL. You paste your product’s site into the free analyzer (no onboarding call needed).
- It maps your signal profile. FranCloud works out what you sell, who you integrate with, and where you’d win, then matches that against thousands of filings.
- You get ranked accounts. The output is a list of brands scored by fit: the signals behind the score (unit growth, no mandated stack, multi-unit concentration), the likely decision-makers, and an opening line drafted from the filing itself.
The output isn’t a generic lead list. A profile might show a brand’s fit score, its year-over-year unit growth, whether it mandates a specific POS or payroll platform, and, critically, who inside the organization actually owns that kind of purchasing decision, whether that’s a corporate IT director or a multi-unit operator running dozens of locations independently.
Where does the data come from?
Every figure on FranCloud traces back to a document a franchisor was legally required to file, not a scraped website, not a purchased list. That matters for benchmarking specifically: marketing pages get updated to sound good, but the FDD is the one document where the numbers have to hold up. The database currently spans thousands of active US franchise brands and hundreds of thousands of pages of filings, refreshed each time a brand re-files. The data page documents the methodology.
Who is FranCloud built for?
The primary users are go-to-market teams at companies selling into franchising, across categories including:
- Point-of-sale (POS) providers
- Payroll and workforce platforms
- Marketing and loyalty technology
- Communications and guest-engagement tools
- Payments processors
- Capital and lending providers
For these teams, the FDD is effectively an intent signal: a brand that just disclosed it’s dropping a mandated POS requirement, or one that added a new state and a dozen units since its last filing, is actively worth prioritizing over one that hasn’t changed in three years. We walk that reading item by item in turning the FDD into a sales compass.
What can anyone use for free?
You don’t need to be a software vendor to get value from the underlying data. Because the platform is built from primary FDD research, its free tools double as a general-purpose franchise research resource:
- Search franchises: look up a brand’s unit count, growth rate, and disclosed technology requirements.
- Compare brands: see two franchises side by side on the metrics that come straight from their filings.
- Learn the FDD: guides that walk through specific FDD items (startup costs, AUV, technology requirements) using real filing data as examples.
- Research reports: free data studies published periodically on topics like franchise technology adoption.
How is it priced?
The entry point is free: the analyzer gives you a preview of your ranked accounts with no email and no call. From there, a single FDD download is self-serve at $149. Full vendor playbooks for a market and an always-on subscription (for teams that need the database to stay current as brands re-file) are custom-built: tell us what you need on the pricing page and we'll scope it with you.