TV viewership attention data and ad effectiveness measurement for Japanese broadcasters
REVISIO measures what traditional Nielsen-style ratings cannot: moment-by-moment viewer attention and demographic composition during TV broadcasts and commercials. The company operates in a data-poor market (TV advertising budgets dwarf digital, yet lack outcome tracking), and their tech stack—Python + FastAPI + Rust + AWS/GCP/Azure—suggests a real-time data pipeline architecture. Current hiring acceleration in data (4 open roles) and sales (4 open roles) indicates scaling both measurement capacity and go-to-market, with active projects spanning API design, ad-effectiveness optimization, and a new unified platform.
REVISIO (formerly TVISION INSIGHTS until October 2022) is a Tokyo-based media research firm specializing in attention analytics for TV and connected-TV environments. The company sells to broadcasters, advertising agencies, and major corporations, providing measurement and analysis services that quantify ad and program performance at a granular level—capturing who is watching and when attention is directed at the screen. Operating with 51–200 employees and founded in 2015, REVISIO is positioning TV advertising measurement to evolve beyond fixed-rate pricing toward outcome-based models, mirroring the efficiency gains digital marketing achieved over the past two decades.
Python, FastAPI, Rust, TypeScript, Angular, deployed on AWS (ECS, Lambda, Aurora), GCP, and Azure. Infrastructure as code via Terraform. Data modeling and reporting in Excel/PowerPoint.
Tokyo, Japan (千代田区大手町, 東京都). All hiring is currently within Japan.
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