Frequently asked questions
Updated over a week ago
Firmographic
Restaurantology is currently managing restaurant industry datasets for the United States and Canada. Our underlying technology is scalable, and we have interest and intentions to expand internationally in the future.
If you’re interested in learning more about (or perhaps expediting?) the timeline for future markets, feel free to reach out to us here: Contact
Restaurantology specializes in industry-specific firmographic and technographic insights. We do not currently offer demographic information such as contact names, titles, email addresses or phone numbers.
The short answer is no, we do not have a database of up-to-date franchise ownership data by brand.
The Restaurantology database is built on publicly available data captured directly from restaurant websites. Because most franchisees do not have a centralized website complete with discoverable location lists, they are not currently included in our database. We strive to only included information that is readily available and repeatedly verifiable with our proprietary automation.
Restaurantology uses a bottoms-up philosophy when providing territories insights, meaning we summarize location-level details into prevalent state and urban area summaries for each profile, where available. Over time we’ve found that unit density is a better leading indicator of territory, particularly in the long(er)-tail segments such as IND and SMB.
Technographic
Of course! Our team is here to help. If you don’t see a technology in our Catalog, email our team: support@restaurantology.io
Only certain types of software leave any trace on websites. Our Catalog is geared towards guest experience technology, which is often integrated into client-facing portions of the website and, thus, leaves a detectable fingerprint for our crawler.
Tech stack items that we cannot currently capture include categories such as workforce management, inventory, on-prem payment processor, and more.
Restaurantology’s technographic insights are based off finding relevant software fingerprints in the underlying code of a restaurant’s central website. Oftentimes these software aren’t integrated directly into a web-page, or they could be hidden behind a redirect link, outside the initial domain, and/or behind custom white labeling, making it difficult to track them with certainty.
