EEntertainment Data Oracle provides data analytics services for advertisers, agencies, and TV networks, offering real-time and predictive insights to optimize media investments and measure consumer engagement in TV advertising and entertainment marketing. It blends data science with proprietary behavioral metrics and offers three main tools: TV Ad Database (airings data for planning), TV Ad Engagement (links search behavior to airings), and Box Office (predicts opening weekend based on consumer signals), all delivered as subscription services. EDO combines behavioral metrics with real-time signals to connect media exposure to actual consumer interest, going beyond traditional media research. Its goal is to help clients maximize the value of media investments by providing precise, timely analytics for planning, creative decisions, and measurement.
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Industries
Company Size
201-500
Company Stage
Growth Equity (Venture Capital)
Total Funding
$92M
Headquarters
New York City, New York
Founded
2014
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Total Funding
$92M
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Contextual targeting drives ad optimization: EDO's Matt Ulrich shares insights at CIMM Summit XV. The AI era is unlocking greater capabilities for brands to optimize ad performance through contextual targeting. Rather than merely focusing on audience attributes, brands can now leverage scene-level targeting, based on the emotional context of a scene or moment. During a recent panel at the Coalition for Innovative Media Measurement (CIMM) Summit XV in New York, our VP of Media Analytics, Matt Ulrich, shared EDO's findings around how pairing content's context with TV outcomes data can deliver more value for brands, particularly in a zero-click search world that's limiting the first-party data marketers use to target particular consumer identities. Contextual targeting delivers engagement lift During the panel, Ulrich pointed to EDO's research with Wurl, which found that when an automotive brand targeted scenes that evoke intense feelings of surprise, its ads were 124% more effective than the benchmark. That could be because buying a vehicle is a high-consideration purchase, so if consumers are emotionally moved by a scene, they could be in the right mindset to respond as the advertiser intends, explained Ulrich. Similarly, EDO found that sports betting ads that aired during pregame NFL coverage outperformed in-game or post-game airings. That's "because of context," said Ulrich. When a sports betting ad reaches a viewer while getting ready to watch a game, the creative has a unique contextual opportunity to drive engagement with consumers who might have already placed a bet by the time an in-game ad airs. Now, AI-enabled scene coding is enabling brands to measure ad performance related to emotions, even within live sports. If a team's star quarterback gets hurt, for example, that creates an emotional moment for fans, which could then affect ad engagement. While you can't necessarily plan ad buys around these unscripted moments, understanding how this type of emotion impacts ad performance can help brands optimize. "In the past, advertisers or agency teams have thought about this as kind of an either/or - you're doing audience targeting or you're doing contextual targeting," said Megan Halscheid, VP, Marketplace Intelligence at Publicis, during the panel. Yet with scene-level targeting and emotional coding technology, you can do both, especially as real-time optimization becomes possible, she added. In a zero-click world, context is key The demand for contextual advertising is accelerating as zero-click search reduces the percentage of consumers who click on search links and makes it harder for brands to identify individual consumers. Without these signals, brands are looking for new ways to target their media buys and measure whether they're successfully driving consideration. By pairing contextual targeting with measurement rooted in the highly durable search query - a data source that's becoming more plentiful even as click-through rates wane - marketers can effectively drive outcomes, measure success, and grow market share with limited first-party data. To see how EDO can deliver these insights to support your ad optimization, connect with our team. You can also sign up for our newsletter to get broader media insights delivered straight to your inbox.
EDO, a TV outcomes measurement company, has partnered with Roblox to bring investment-grade advertising measurement to gaming for the first time. Brands can now measure Roblox campaigns against the same engagement benchmarks EDO applies across linear and streaming television. EDO uses two methodologies: ad campaign measurement for video ads, and event-driven engagement analysis for branded virtual events. Both frameworks are adapted from EDO's AI-powered system that has tracked over a decade of TV outcomes data. The pilot programme measured campaigns across beauty, entertainment, streaming and gaming, finding strong performance. Brands can now benchmark immersive gaming advertising against traditional media channels using consistent metrics. The partnership represents EDO's first expansion beyond convergent TV measurement, with additional platforms planned.
EDO, a TV outcomes measurement company, has launched ChatEDO, a natural-language AI interface for Convergent TV analytics built on Snowflake Cortex AI. The platform provides instant access to a decade of EDO's TV intelligence data without requiring queries or dashboards. ChatEDO uses three Snowflake Cortex AI capabilities: Cortex Analyst translates plain-English questions into SQL queries, Cortex Search retrieves methodology and domain knowledge, and Cortex Agents orchestrates both systems with multi-turn conversation memory. All processing occurs within EDO's Snowflake environment, ensuring enterprise-grade security and governance. Launched in February 2026, ChatEDO has maintained strong demand during its invite-only early access phase. The system includes continuous quality evaluation, with confidence scores monitored weekly to maintain accuracy as data evolves.
EDO has launched Sponsored Ad Outcomes, an AI-powered measurement tool that automatically detects and quantifies brand integrations across live sports broadcasts, including in-stadium billboards, digital overlays and sponsored graphics. The solution provides investment-grade outcomes data without manual processes that previously prevented scaled sponsorship measurement. The company validated the technology by analysing the 2022 FIFA World Cup, processing 3,774 custom integrations and 1,168 standard ads across 64 matches. The analysis found viewers were 117% more likely to engage with digital overlays than stadium billboards, and digital overlays paired with adjacent ads drove 34% higher engagement. The solution debuts for the 2026 FIFA World Cup and will expand to NFL, NBA and other major sports. It reduces manual review time by 92% and costs by 98%.
EDO, a TV outcomes company, has launched Ad EnGage Optimize, an AI-powered solution for autonomous campaign optimisation in convergent TV advertising. The platform uses EDO's decade of TV outcomes data to optimise frequency, creative rotation, audience targeting and media planning during campaigns. EDO's research shows up to 35% of ad impressions in some convergent TV campaigns can be reinvested through smarter frequency capping, whilst creative rotation optimisations can drive 20% performance increases. The platform analyses campaigns across multiple dimensions simultaneously, including creative, audience, frequency, media placement and geographic markets. Ad EnGage Optimize includes five tools: Frequency Optimizer, Media Plan Optimizer, Creative Rotation Optimizer, Audience/Geo Optimizer, and Agentic Integration. The solution addresses the challenge of manually executing optimisations across numerous publishers, markets and campaigns at scale.
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Industries
Company Size
201-500
Company Stage
Growth Equity (Venture Capital)
Total Funding
$92M
Headquarters
New York City, New York
Founded
2014
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs