Metadata

Metadata integrates directly with CRMs like Salesforce and HubSpot and marketing automation platforms such as Marketo. This allows its AI agents to read closed-won revenue data and continuously reallocate budget toward campaigns, audiences, and creatives that generate actual pipeline — not just low-cost leads. The feedback loop is automated, meaning campaigns self-correct toward revenue outcomes without manual analysis.

MetaMatch is Metadata's patented B2B audience engine. It matches personal identities on social platforms to professional business identities using a graph of 1.5 billion matched emails, sourced from over ten data partners and client first-party data. The system applies intent data from firms like 6sense and G2, alongside firmographic and technographic filters, to build targeted audiences even on traditionally consumer-focused channels like Facebook and Instagram.

Gil Allouche is the CEO and co-founder, with the firm originating from his insight into marketing operations friction. Metadata's leadership publishes regularly on product architecture and the technical roadmap, including a publicly announced conversational AI initiative for 2024 called Metadata ONE.

Metadata positions itself primarily as a software platform where AI agents execute campaigns autonomously, but clients set the strategic parameters — target KPIs, budget limits, and overarching media strategy. The company's messaging emphasizes replacing headcount-intensive ad operations rather than layering services on top. Implementation and strategy guidance are available through the direct sales and customer success process, but the value proposition centers on software automation.

As of mid-2024, Metadata automates campaigns on LinkedIn, Meta (Facebook and Instagram), Google (Search and Display), and Reddit. The company has indicated Bing is in development and notes they are actively adding more channels.