✨Omeda AI

Build audience segments in plain language

Omeda's AI-powered Audience Builder helps media teams create audience queries by describing who they want to reach. Omeda AI searches across your available attributes and builds the query for you, so teams launch campaigns faster, use more of their first-party data, and rely less on platform training.

Audience building shouldn’t feel tedious and manual

Building an audience often means digging through a long list of attributes, knowing what exists, and figuring out how to piece it together. That slows down campaigns and limits how much of your data actually gets used. New users feel it most, since they cannot get started without training.

Describe the audience. Let Omeda build the query.

With Agentic Audience Builder, users type the audience they want in plain language. Omeda AI searches across available attributes and populates the query with matching fields automatically.

Instead of manually browsing the attribute library, teams start with intent:

  • Newsletter readers who clicked travel content in the past 30 days
  • Webinar registrants who have not subscribed
  • Lapsed subscribers with high recent email engagement

The result is a working audience query in minutes, not a scavenger hunt through attributes.

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Faster audience creation. Better targeting. Less ramp time.

Agentic Audience Builder helps teams move from idea to execution faster by removing one of the biggest friction points in audience creation.

Launch campaigns faster

Reduce the time spent browsing attributes and assembling queries by hand.

Put more of your data to work

Surface relevant fields users may not have known existed, including behavioral, email, web, engagement, and subscription attributes.

Make audience building easier for every user

Give new team members a way to self-serve from day one, without deep knowledge of the attribute library.

Built on unified first-party data

Many query tools still depend on users knowing field names before they start. Others pull from a narrow set of contact-level attributes.

Omeda's Audience Builder works differently. Because it sits on top of your unified first-party data model, it helps build audiences using a broader picture of audience behavior and value.

That includes data across:

  • Email engagement
  • Web behavior
  • Subscriptions
  • Audience activity
  • Campaign interactions
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FAQs

What is AI-powered content tagging, and how does it work?

AI-powered content tagging uses machine learning to analyze your web and email content and automatically assign structured tags—such as topic, tone, sentiment, and audience intent.

Instead of relying on manual tagging, the system processes content at scale and applies consistent metadata across every asset, making it easier to organize, analyze, and activate content across campaigns and channels.

What types of content can be tagged?

How accurate is AI-generated content tagging?

What makes Omeda’s content tagging different from other AI tagging tools?

How does AI content tagging support personalization and audience targeting?

Can content tagging help with advertising and sponsorship revenue?

How does content tagging connect to audience data and performance insights?

See why top media companies rely on Omeda

Walk through the platform with our team and see how media organizations use AI content tagging and recommendations to drive engagement and revenue.