EDO launches Engaged Audience Planning, a tool that models reach-versus-response trade-offs using vertical AI and a vast dataset.
The tool integrates with systems like Nielsen and VideoAmp, aiming to optimize both reach and results for advertisers.
EDO’s approach focuses on outcomes rather than traditional metrics, positioning itself as an overlay in the competitive measurement landscape.
The free-for-all roiling Upfront negotiations just improved its “outcomes”. TV-measurement firm EDO (aka The Outcomes Company) just unveiled Engaged Audience Planning, a software layer it says lets brands model reach-versus-response trade-offs inside the planning stacks they already use.
Outcome-first pitch: Powered by what the company calls vertical AI and a dataset tracking 110 trillion linear and streaming impressions, the module forecasts search spikes, site visits, and other intent signals alongside traditional reach metrics. EDO says an unnamed advertiser saw more than a three-times lift in engagement when outcomes were added to a standard audience plan.
Plug-and-play claims: The tool pipes into audience systems from Nielsen, VideoAmp, and Kantar Media, as well as programmatic optimizers like DoubleVerify’s Scibids AI, trimming “manual work” for planners, according to the company’s press release. “By aligning EDO’s outcome measurement with whatever advanced audience marketers choose, we’re empowering advertisers to optimize for both reach and results,” CEO Kevin Krim said in the announcement.
Measurement maze backdrop: The move lands as the JIC certification notice certified Comscore and VideoAmp—and left iSpot on conditional status—giving buyers multiple currencies for the 2025 Upfronts while legacy Nielsen faces fresh competition. EDO positions itself not as a currency but as an overlay that travels with whichever metric a brand transacts on.
Inside the black box: An AdExchanger interview from last year notes that EDO links Google Trends data with web traffic and app-download spikes to infer intent, avoiding personally identifiable information. Its Netflix pilot, reported by Ad Age, relied on “micro-cohorting” to keep user privacy intact.
Still to prove: Buyers now want independent validation of EDO’s modeling, clarity on integration costs and evidence that intent signals outperform newer attention metrics. The overlay’s real test will arrive when agencies plug it into live deals.
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