For marketing analysts and BI teams pulling cross-platform reports, Funnel is a marketing data hub that automatically pulls ad and campaign data from every platform you run, cleans it, and feeds one reporting layer for dashboards and analysis.
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 →
Funnel is positioning itself as a marketing data hub that brings campaign and advertising data into a common reporting layer for analysts and BI teams. Its market footprint is early in the GTM conversation, while the role it fills is familiar to operators who need reliable inputs for dashboards, attribution views, and performance analysis. The product focuses on collecting, cleaning, and normalizing data from the platforms where campaigns run. That gives marketing teams a dedicated data layer between fragmented channel activity and the reporting systems used to evaluate spend, audience response, and program performance.
Sephora, Publicis Sweden, FREE NOW, Power Digital, Mediaschneider
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Business Profile
Funnel was founded in Stockholm in 2014 and has grown into a multi-office operation spanning Stockholm, Boston, Hamburg, and Sydney, with more than 400 employees and more than $130 million raised to date. It remains independent. The company has scaled into processing tens of billions of dollars in annual ad spend for a customer base that spans agencies and mid-market and enterprise marketers, including Sephora, Publicis Sweden, FREE NOW, Power Digital, and Mediaschneider. Funnel emphasizes reliability and governance in how it talks about itself, positioning its more than a decade of operating history as the basis for trust in data teams evaluating a new layer in their stack.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Funnel has shipped an MCP server that connects the platform to Claude, ChatGPT, Cursor, and other MCP-compatible tools, letting an agent query marketing data and measurement directly rather than requiring an export. Alongside that sits Funnel AI, a natural-language layer for asking questions about the underlying data and getting an answer inside the product. The build-out so far centers on letting outside agents reach into Funnel's data layer rather than running its own agents on top of it.
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