Updated:
Metadata
Gil Allouche's Metadata deploys patented AI agents to automate B2B ad campaigns across LinkedIn, Meta, and Google, optimizing for revenue.
Metadata
Metadata was founded in 2016 by Gil Allouche in San Francisco. The company emerged to automate the labor-intensive process of running B2B paid media, building a platform that allows marketing teams to set strategy while software handles execution. Its original insight was that optimizing for leads alone left revenue on the table — a gap Metadata closed by wiring ad platforms to customer relationship management and marketing automation systems. The platform orchestrates campaigns across LinkedIn, Meta, Google, and Reddit, using AI agents to handle targeting, bidding, budget shifting, and creative testing. Its patented MetaMatch engine maps personal social identities to B2B professional profiles across 1.5 billion matched emails, a capability it claims as a primary advantage over native channel tools (per the firm). Multivariate experimentation runs continuously, testing combinations of audience, creative, and offer to surface what actually converts. Clients include Zoom, where Metadata drove a 177% increase in influenced revenue according to the firm. Patented algorithms power the core bid management and audience-building functions. Metadata operates from its San Francisco headquarters, with a remote-available team listed in roles spanning the Americas. The firm holds multiple patents covering its audience-targeting technology and counts over ten data partners supplying intent and firmographic signals. In April 2024, the company publicly previewed Metadata ONE, a forthcoming conversational interface connecting its agentic engine to LLMs like ChatGPT and Claude, allowing campaign management through natural language prompts (per the firm, April 2024). Metadata's architecture treats AI not as a feature layer but as the primary operating system for paid media. The firm runs more than a dozen specialized agents — named internally around functions like bidding, analysis, and targeting — rather than a single general-purpose model. This agent-team structure mirrors the specialized roles inside a large performance marketing group, putting the company in direct competition with the manual workflows it aims to replace inside enterprise demand-generation teams.
General information
Firm type
Asset Manager
Year founded
2016
AUM
Undisclosed
Location
Region
North America
Country
United States
City
San Francisco
Corporate office
San Francisco, United States
Principals
Gil Allouche
CEO and Co-founder
Sector focus
Frequently asked questions
How does Metadata structurally connect ad spend to revenue?
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.
What is MetaMatch and how does it source its data?
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.
Who is currently leading Metadata?
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.
Does Metadata operate as a managed service or solely as software?
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.
Which paid media channels can Metadata actually manage?
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.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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