For media buyers and agencies running TV ad campaigns, Madhive is a full-stack programmatic advertising platform purpose-built for connected and modern TV advertising inventory across the open internet.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Madhive is positioning itself as the programmatic advertising platform for media buyers and agencies working with connected and modern television inventory across the open internet. Its footprint in current GTM conversation is quiet, with no distinct practitioner workflow or comparison theme emerging around the product. The company’s recent activity is centered on team and community initiatives rather than a new product move, so the clearest current position remains its television-specific programmatic stack. Madhive brings campaign execution and media buying into one operating layer for organizations running connected-TV programs.
FOX, TEGNA (Premion), Scripps
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Business Profile
Madhive was founded in 2017 to build advertising infrastructure purpose-made for connected and local TV rather than adapted from open-web ad tech. The company has raised $91M and has grown to roughly 465 employees, serving broadcasters, agencies, and media groups including FOX, TEGNA's Premion, and Scripps. It remains independent, and its own messaging emphasizes consolidation, replacing the fragmented, multi-vendor stack local and CTV buyers historically pieced together with one platform spanning planning, activation, and measurement.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Madhive documents a public API surface with published terms of use, giving partners and media buyers programmatic access to campaign planning, activation, and measurement data through a developer portal. That surface is oriented toward system-to-system integration for agencies and data partners rather than an AI-assistant connector, and no MCP server or agent-specific tooling is documented publicly yet.
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