Local-service supply and pricing sit spread across thousands of venue pages and booking platforms that each see only their own venues. tallywire was built to make that measurable.
Local-service supply — salons, spas, med-spas, studios — is scattered across booking platforms that each see only their own venues. Nobody could answer simple questions: what does a haircut cost across a whole city? How fragmented is the market an acquirer is buying into? So we built the aggregate: one normalized schema over the major platforms, collected on a rolling basis, so the history accrues.
Business data only, from public listings. No consumer profiles, no reviewer identities. The full method is public: how we collect this.

Developer & founder. Previously co-founder of Simple Analytics, the privacy-first web analytics company — which is also where the privacy stance here comes from: collect the minimum, publish the method, no dark patterns.
tallywire is run by Iron with a small team. LinkedIn →
You get a reply within one business day — with a row count and a sample from your metro when you ask about data.
Request a market →Or email hello@tallywire.io.