Observed Signal · Apr 15, 2025 · Technical Release · Source: Marketecture · Impact: 2/5 · Sentiment: Neutral
Yieldmo: Attention-Powered Ad Exchange
Yieldmo is an ad exchange that uses attention data and machine learning to procure inventory for advertisers while optimizing yield for publishers. The company is investing in AI and machine learning to improve inventory curation and activation, including custom models and planning tools. It’s also innovating on creative by expanding its use of dynamic format optimization. CEO Michael Yavonditte talks with Marketecture’s Eric Seufert. The interview details Yieldmo’s strategy to blend attention signals with programmatic buying and to advance inventory curation, activation, and creative optimization. Video content is paywalled, with transcripts available to premium Marketecture subscribers. Recorded January 2023, the discussion reflects ongoing industry shifts toward attention-based measurement and smarter creative optimization in ad exchanges.
Industry-relevant update on attention data and AI in ad exchange
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Key Takeaways & Evidence Grounding
- Yieldmo is an ad exchange that uses attention data and machine learning to procure inventory for advertisers while optimizing yield for publishers.
- The company is investing in AI and ML to improve inventory curation and activation, including custom models and planning tools.
- It’s innovating on creative by expanding its use of dynamic format optimization.
- CEO Michael Yavonditte discusses the approach with Marketecture’s Eric Seufert.
- Video interview recorded January 2023; content is paywalled to MarketectureTV subscribers.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Yieldmo Expands YMax.ai for Open-Web Predictive Ads
Yieldmo announced an expansion of YMax.ai, its next-generation advertising platform designed to give brands and agencies greater control, transparency, and predictive intelligence across the open web. YMax.ai combines URL-level transparency, pre-bid supply intelligence, exclusive high-intent inventory, AI-driven semantic targeting and adaptive creative optimization, underpinned by more than eight years of proprietary performance and pricing data. Yieldmo cites campaign results including up to +129% CTR versus benchmark, up to +59% engagement lift from in-flight optimization, and average viewability rates of 85%. The company said the platform powers initiatives such as the Fieldhouse Media Network from Pacers Sports & Entertainment, developed in collaboration with Deloitte, to reach authenticated sports audiences on premium digital environments.
Prebid.js 11.29.0 Release
Prebid.js v11.29.0 was published on 2026-08-06 (commit f8feaa9) with new adapters, maintenance updates, and bug fixes. Notable items include the initial release of a DevTools MCP module, new HyperBrainz and Synapse HX bid adapters, a fix for analytics provider configuration types, and multiple maintenance updates across bid adapters (e.g., TripleLift, Yieldmo, VISX). Source tarball and zip artifacts were published with the release.
Prebid.js 11.27.0 Released
Prebid.js version 11.27.0 was released on 2026-08-03. The release includes core fixes (escaping HTML-unsafe characters in encodeMacroURI and escaping values interpolated into generated VAST XML), new features (a Mantis RTD module and MGID Bid Adapter session props), multiple bug fixes and maintenance updates across several bid adapters and build/dependency improvements. The release artifacts (zip and tar.gz) were published with commit ea36e5e and the release action attributed to github-actions.
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