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IndustriesMedia and Advertising

AI-native analytics for media and advertising, built on a semantic layer

Media and advertising run on metrics that have to agree across agencies, partners, and platforms. Cube is the agentic analytics platform for media: teams ask questions in natural language and get answers grounded in a governed semantic model, so KPIs like CTR, CPA, and ad revenue mean the same thing everywhere. Serve those definitions to BI, spreadsheets, and analytics you deliver to partners and clients.

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  • Ask questions in plain language and get governed, trustworthy answers
  • One semantic model, served to BI, spreadsheets, agents, and embedded analytics
  • Runs on top of your cloud warehouse — no rip-and-replace

Agentic AI for Media and Advertising:

Smarter Data, Faster Media Decisions

AI agents answer questions on campaign performance, spend, and audience signals using governed metric definitions, so the numbers hold up when partners see them too. Teams react to campaign shifts in real time without waiting on a manual pull.

Learn more about Cube D3
Collaborative network with data, users, and communication around a central platform

Accelerate Audience Insights

Measure engagement, audience growth, and time-on-platform against governed definitions, so every team reports the same KPI. Analysts and agents explore audience data quickly without re-deriving metrics for each report.

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Optimize Advertising Revenue

Allocate spend against consistent, governed metrics — CTR, impression share, revenue per impression — instead of numbers that shift between tools. Agents surface where revenue is leaking so teams can act while it still matters.

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Strengthen Data Security, Governance, and Compliance

Model access controls once and enforce them across global operations and partner integrations. Row-level security keeps sensitive audience and revenue data governed whether it is consumed internally or delivered to a partner.

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Enhance Collaboration Across Teams

Give teams inside and outside your organization the same governed view of metrics like CPA, subscriber growth, and royalties. When everyone reads from one model, decisions stop stalling on whose number is correct.

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Ready to upgrade your data stack?

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