For marketing and analytics teams juggling dozens of data sources, Adverity is a marketing data platform that automates data integration from ad platforms and tools into unified pipelines for reporting and analytics.
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 →
Adverity is working to extend its position from a marketing data integration platform into a knowledge layer that sits between a company's data and the AI models querying it. It launched Adverity Atlas in mid 2026 to give language models a governed, shared understanding of marketing metrics before they answer a question, framed as a fix for AI outputs that read confident but rely on stale or mismatched numbers. The company also uses its own channels to talk directly to enterprise buyers about the build-versus-buy decision on marketing AI. Tracked conversation about the brand is early so far, consistent with a company still introducing a new product layer rather than an established category reference point.
Supermetrics
Funnel
6sense
Demandbase
The Trade DeskIKEA, Colgate-Palmolive, Vodafone Germany, Dassault Systèmes, Mindshare, Infobip, Cars.com, Barilla, Carter's, iProspect
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Business Profile
Adverity was founded in 2015 and has grown to roughly 334 employees on $166.3M raised, still operating as an independent company a decade in. It built its business on marketing data ETL, an enterprise connector layer that pulls spend and performance data out of ad platforms and other marketing tools into a client's own warehouse, serving enterprise marketing teams that include IKEA, Colgate-Palmolive, Vodafone Germany and Dassault Systèmes. In 2026 the company introduced Adverity Atlas, a knowledge layer built on top of that existing pipeline rather than a separate acquisition or pivot, extending the business from data movement into data interpretation for AI-era reporting.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Adverity ships an MCP server that lets an AI agent list datastreams, check authorization status and pull data from live connectors, enough to wire into workflows that verify a source before triggering the next report step. Around that layer sits Adverity Atlas, introduced in 2026 as a knowledge layer meant to give language models one governed, shared understanding of what the marketing metrics mean before they answer a question.
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