Every Restaurantology profile is built from restaurant websites directly, verified monthly, never aggregated, never estimated.
Most market data in this category is aggregated from third-party directories, store-level records, or public databases normalized by name matching. The result is data that reflects what was true at some point, not what’s true now.
Restaurantology uses proprietary software to visit restaurant websites directly. We read the source. Unit counts, locations, service formats, technology signals — captured from the website itself, on a monthly cadence, for every profile in the dataset.
When web detection isn’t conclusive, we verify by phone.
Total confirmed locations updated monthly, plus historical trajectory. Know how many units a brand has today and whether they had more or fewer a year ago. No other source in the category gives you both.
Full service, limited service, QSR, buffet, food truck. Captured from how the brand presents itself, not assigned from a generic classification system.
Territory inferred from where the majority of units are located, not from headquarters address. State-level coverage across every profile in the dataset.
Corporate brand relationships, parent and child concepts, and multi-brand operators. Know who owns what before you walk into the conversation.
80+ systems tracked. Web-detected first, phone-verified when the signal is inconclusive. Module-level detection where available, so you know not just which POS, but which modules they’re running.
Which platforms a brand uses to take orders and fulfill delivery. One of the clearest signals of where a brand sits in their digital maturity.
Retention and guest feedback technology across the full dataset. Where none is detected, that is an opportunity signal. Across 16k+ profiles, that is a lot of open doors.
Restaurantology covers multi-unit brands from 2 units up. Single-unit operators don’t scale for restaurant tech GTM — too costly to acquire, implement, support, and retain. That’s not a gap in the dataset. It’s a deliberate design decision.
2 to 5 units,
12k+ profiles
6 to 20 units,
3.5k+ profiles
21 to 100 units,
1k+ profiles
101 to 2,000 units,
270+ profiles
2,001 and up,
27 profiles
Every profile in the dataset is verified on a monthly cadence. We visit restaurant websites directly each month and update unit counts, tech stack detections, and other attributes based on what we find.
Restaurant websites. We use proprietary software to visit and analyze thousands of restaurant websites directly. We do not aggregate from Yelp, Google, or third-party store-level databases.
By where the majority of a brand’s units are located, not by headquarters address. A brand headquartered in Chicago with 80% of its units in Texas is a Texas brand for GTM purposes.
2 units. We start at multi-unit intentionally — single-unit operators don’t represent a viable GTM target for most restaurant tech companies at scale.
Restaurantology is built on website verification. Franchisee profiles are included only when a franchisee operates their own unique web presence with enough signals to verify unit counts, technology, and market presence independently. Most franchisees don’t meet that bar, so our dataset skews heavily toward corporate and multi-unit operator profiles. If you’re selling to franchisees specifically, that context matters for how you use the data.
No. Restaurantology provides operational and market intelligence, not contact information. Unit counts, tech stack, ownership, service type, markets, unit trend. For contacts, we recommend pairing Restaurantology with a contact data provider like ZoomInfo, Apollo, or Clearbit. Concept-first intelligence plus contact-first enrichment covers the full picture.
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