
Metadata is a B2B advertising platform for audience creation, campaign production, and cross-channel execution.
Metadata describes one workflow linking B2B audience creation, campaign production, cross-channel activation, optimization, and performance review rather than stopping at account identification or engagement reporting. Its AI specialists assemble audiences, creative, offers, budgets, and campaign objects while the product connects advertising activity with CRM context and pipeline outcomes.
The platform page lists 12 channels and presents the SaaS surface and Metadata MCP as interfaces to the same execution engine. Customer-set goals, budget guardrails, and approval requirements remain in place, so marketing teams can combine automation with reviewable campaigns and direct control of spend.
Metadata says its first version launched in 2019 to reduce the technical and repetitive work required to run B2B marketing programs. The company describes that version as the starting point for a product vision built around custom demand engines using target audiences, experimentation, optimization, and advanced reporting.
By February 2025, Metadata announced its first three AI agents, including Bid Agent, and described a shift toward conversational workflows that execute marketing work. Later release notes in September 2025 documented MCP integration and support for optimization of native LinkedIn campaigns regardless of launch method. These dated milestones show an evolution from automated campaign tooling toward agent-assisted execution.
Metadata's 2026 B2B Paid Media Benchmark reports campaign and pipeline observations from 153 advertisers that spent $57.6 million on paid media in 2025. The public report compares lead cost, channel return, ad format, audience type, and company-size differences, and explains that pipeline figures are based on advertisers with connected CRM data.
This benchmark describes the measurement context around Metadata's paid-media offering: marketers can compare channel spending and lead acquisition with sourced pipeline and customer cost rather than relying only on clicks or engagement. Published comparisons are based on Metadata's participating advertiser set and should be interpreted as sample-specific, not as universal market averages.
Metadata's current pricing page says fees depend on channels under management, managed advertising spend, and the amount of execution work delegated to the platform. Available scope can cover target audiences, creative, landing pages and commercials, campaign execution, optimization and reporting across the supported channels.
The buying path is a demo and a scoped proposal, not a published list price. The official page states that adding channels can affect price and that customers retain budget and approval controls. These details describe the current public commercial model, rather than a fixed, version-independent price.
Metadata's B2B Paid Campaign Platform combines audience creation, creative and offer production, cross-channel campaign setup, optimization and reporting in a shared product. It builds audiences from firmographic, technographic, intent, CRM and retargeting signals and connects advertising activity to company engagement, pipeline and revenue outcomes.
The official platform describes execution across 12 channels, including LinkedIn, Meta, Google, Reddit, Microsoft, display, CTV, out-of-home and audio. Seven AI specialists support campaign planning and operations through the SaaS interface or Metadata MCP, which accesses the same campaign objects. Customers establish budget and approval controls and can review objects before launch; pricing is scoped to channel, managed-spend and execution requirements.