Metadata.io

You run the media strategy. AI runs the ads.

ABM & Intent Platforms
★★★★☆ 4.4
2015 Founded
51-200 Employees
150+ Customers
San Jose, CA, USA Headquarters
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Quick Facts

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Website
metadata.io →
Starting Price
24000
Pricing Model
tiered
Free Trial
15 days
Company Type
private
Social
LinkedIn Twitter/X

About Metadata.io

Metadata.io is an AI-native B2B digital advertising and marketing operations platform that helps demand generation teams run and optimize paid campaigns across channels like LinkedIn, Meta, Google and Reddit from a single interface, with AI agents handling execution and optimization. Its "Marketing OS" vision is to automate the most tedious and technical parts of paid media so marketers can focus on strategy and creativity while still proving clear impact on pipeline and revenue. metadata.io

Founded in 2015 by marketer-turned-founder Gil Allouche, Metadata emerged from real-world frustrations running complex ABM and demand gen programs. The team built a patented identity graph (MetaMatch) and experimentation engine to automate audience building, multivariate testing, and budget allocation at a scale that would be impossible to do manually. metadata.io

Over the years Metadata has evolved from an account-based advertising tool into a broader autonomous demand generation and digital advertising platform, adding products like Web Personalization (via the Reactful acquisition) and, most recently, MetadataONE – a "prompts to pipeline" experience powered by multiple AI agents orchestrated from an LLM such as Claude or ChatGPT. metadata.io

Metadata is a privately held, venture-backed company headquartered in San Jose, California, with a globally distributed team of roughly 100–200 employees. The company has raised more than $58M in venture funding across seed, Series A, and a $40M Series B round, and serves hundreds of B2B marketing teams at brands like Zoom, Okta, ThoughtSpot, G2, and Workato that rely on it to scale experimentation, improve lead quality, and turn ad spend into measurable revenue. businesswire.com

Key Features

AI Agents for campaign execution - Bid, Targeting, Analyst and other agents automatically manage bidding, budget allocation, and optimization across channels.

Cross-channel campaign management - Build, launch, and manage LinkedIn, Meta (Facebook & Instagram), Google, and Reddit campaigns from a single interface instead of separate native UIs.

MetaMatch identity graph - Patented B2B audience engine that links business and personal identities to enable precise B2B targeting on traditionally B2C channels like Facebook and Instagram.

Multivariate experimentation at scale - Automatically tests many combinations of audiences, creatives, offers, and channels, then scales what works while pausing underperformers.

Revenue-based optimization - Connects directly to Salesforce or HubSpot to optimize campaigns to meetings, opportunities, pipeline, and revenue rather than clicks or form fills.

Lead enrichment and routing - Enriches inbound leads with firmographic and demographic data from multiple providers and pushes them into MAPs and CRMs with clean, standardized fields.

Web personalization - Uses firmographic and behavioral data to personalize on-site experiences and messaging for target accounts and segments in real time.

Centralized reporting and analytics - Gives marketers full-funnel visibility into account reach, engagement, pipeline contribution, and ROI across channels and campaigns.

Account-based advertising - Builds and targets audiences based on ICP, account lists, intent signals, and technographic data to power ABM programs.

Audience syncing and retargeting - Syncs audiences from CRM, MAP, intent providers, and website behavior to power net-new, lookalike, and retargeting segments.

LLM-powered MetadataONE workspace - Lets marketers go from natural language prompts to campaigns, audiences, and creative inside a unified AI-driven workflow.

Open integrations and APIs - Connects with major CRMs, MAPs, data providers, and ad platforms, plus open APIs for custom data pipelines and reporting.

Bid Agent for LinkedIn - Specialized agent that optimizes LinkedIn bidding strategies automatically to reduce CPC/CPL and improve pipeline efficiency.

Advanced funnel and attribution reporting - Tracks triggered and influenced pipeline, opportunities, and closed-won revenue at campaign, audience, and creative levels.

Governance and compliance controls - Enterprise-grade security, privacy, and governance features aligned with ISO 27001 and modern data protection standards.

Pros & Cons

👍 Pros

  • Powerful automation and AI dramatically reduce the manual work of building, launching, and optimizing campaigns across multiple ad platforms.
  • Single, unified interface to manage LinkedIn, Meta, Google, and other channels with consolidated reporting and budget control.
  • Advanced B2B audience targeting and enrichment (via MetaMatch and intent/firmographic data) improves lead quality and lowers cost per opportunity.
  • Deep Salesforce and HubSpot integrations enable true pipeline and revenue attribution instead of just lead or click metrics.
  • Customer success and support teams are frequently praised as highly responsive, strategic, and hands-on in helping teams get value quickly.
  • Robust experimentation and A/B testing capabilities help marketers learn what works faster and scale winning combinations of audiences, creatives, and offers.

👎 Cons

  • Pricing is relatively high and often described as better suited to organizations with larger paid media budgets, making it less accessible for some SMBs.
  • Initial setup and learning curve can be significant, and some users report that onboarding and getting everything tuned can take several months.
  • Not all ad formats and newest native features are available immediately, and editing live campaigns or certain settings can be more limited than in native platforms.
  • Some reviewers mention occasional reporting delays, attribution quirks, or UX complexity when working with advanced features.

User Reviews

G2
4.6
★★★★★
Capterra
4.4
★★★★☆
TrustRadius
8.5
★★★★★

Integrations

Salesforce Sales Cloud Salesforce Platform HubSpot CRM HubSpot Marketing Hub Marketo Pardot Eloqua LinkedIn Marketing Solutions Facebook for Business Instagram for Business Google Ads Google Analytics 4 Reddit for Business X Meta Audience Network Amazon S3 Bombora G2 Buyer Intent Contentgine Aberdeen Drift Qualified

Best For

Company Size

mid-market enterprise

Industries

SaaS Technology Computer Software Information Technology & Services Business Services

Use Cases

Cross-channel B2B digital advertising Account-based advertising and retargeting Demand generation and pipeline acceleration Campaign experimentation and A/B testing at scale Revenue and pipeline attribution for paid media Web personalization for target accounts

FAQ

What is Metadata.io?

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Metadata.io is an AI-native B2B digital advertising and marketing operations platform that automates paid campaign execution across channels like LinkedIn, Meta, Google, and Reddit. It uses AI agents, a patented B2B identity graph (MetaMatch), and deep CRM/MAP integrations to build audiences, run multivariate experiments, and optimize budgets directly to pipeline and revenue rather than just clicks or leads.

How much does Metadata.io cost?

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Metadata.io uses a tiered, primarily annual pricing model. Publicly listed packages on review sites show components like MetaMatch starting around $295 per month, audience and web personalization modules at roughly $24,000 per year, and the core Metadata base platform around $60,000 per year, often with an optional one-time setup fee. Actual pricing is typically customized based on modules, volumes, and services, so most buyers work directly with sales for a tailored quote.

What are the main features of Metadata.io?

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Key features include AI agents for bidding and optimization, cross-channel campaign management, the MetaMatch B2B identity graph, multivariate testing at scale, revenue-based optimization using Salesforce or HubSpot data, lead enrichment, web personalization, and robust cross-channel reporting. It also offers prebuilt integrations with major CRMs, MAPs, data providers, and ad platforms so marketers can orchestrate their paid media from a single place.

Who are Metadata.io's main competitors?

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Commonly compared alternatives include ABM and marketing orchestration platforms like 6sense, Demandbase, Terminus, RollWorks, and ZoomInfo MarketingOS, as well as running campaigns directly in native ad platforms such as LinkedIn Ads, Google Ads, and Meta Ads Manager. Many teams use Metadata alongside an ABM data/intent provider to handle the execution and optimization layer of paid media.

Is Metadata.io good for small businesses?

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Metadata.io can be used by smaller teams, but it is generally best suited to organizations with meaningful paid media budgets (often $20K+/month across channels) and a desire to run continuous experimentation. Very small businesses or early-stage startups with limited ad spend may find the platform's cost and experimentation-driven model hard to justify until their spend and volume grow, whereas mid-market and enterprise B2B marketers typically see the strongest ROI.

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