How to get your Outbrain data ready for agentic AI

Outbrain holds some of your most valuable business data — native advertising campaign performance, budget and bid history, conversion tracking, and audience targeting details for every piece of sponsored content you run across Outbrain's publisher network. Getting your Outbrain data ready for agentic AI means centralizing that campaign and performance data in a warehouse or data lake where AI agents query your full advertising history, join it with other business data, and answer questions on demand. That means agents answer questions like "which sponsored content campaigns are actually converting, not just getting clicks" in seconds rather than days. Fivetran + dbt Labs delivers the complete data foundation agents need — Fivetran moves Outbrain data reliably into your warehouse or data lake, and dbt transforms it into trusted, AI-ready tables.

Why Outbrain data is critical for agentic AI

Native advertising performance is easy to lose track of because it runs alongside a dozen other paid channels, each with its own dashboard and its own definition of a conversion. A paid content manager trying to answer "is our Outbrain spend actually paying off" today has to pull campaign reports, budget history, and conversion data separately, then manually line them up against performance from other ad platforms before drawing a conclusion. That reconciliation work happens weekly at best, which means budget decisions get made on data that's already stale by the time it's reviewed. And because Outbrain campaigns span multiple report types — geolocation, audience segments, targeting interests, budget changes — no one person can hold the full picture in their head. Getting this data into infrastructure built for agents, not just analytics, closes that gap.

What agentic AI can do with Outbrain data

Once Fivetran centralizes Outbrain data, an AI agent answers the performance questions that used to take a paid content manager hours to piece together.

A native advertising manager can ask an agent which campaigns are generating conversions, not just clicks, and get an answer that accounts for conversion tracking data across the full campaign history, not a single week's snapshot.

A demand generation lead can ask an agent to compare performance across audience segments and targeting interests, surfacing which combinations are actually working instead of relying on a gut sense of what performed well last time.

A media buyer can have an agent flag campaigns where budget or bid changes coincided with a drop in performance, connecting cause and effect instead of noticing the dip weeks later.

A regional marketing manager can ask an agent to break down campaign performance by geography, since Outbrain reports on a per-country basis, without manually filtering and re-aggregating location data by hand.

None of this requires someone to manually export and reconcile Outbrain's separate report types first — the agent works directly against a governed version of your full campaign history.

How Fivetran gets your Outbrain data ready for agentic AI

Outbrain spreads campaign performance across multiple report types — budget history, conversion tracking, geolocation, targeting segments — each generated and updated on its own schedule. Pulled straight from the platform, that data stays fragmented and disconnected from the rest of your marketing performance data, which makes it unusable for agent workloads without significant manual reconciliation.

Fivetran moves your Outbrain data reliably into a central warehouse or data lake, syncing campaign, budget, and conversion data on an ongoing basis so it stays fresh, complete, centralized, cleansed, and governed. Fivetran also captures historical changes to campaigns, budgets, and targeting segments, so your team keeps a full record of what changed and when, not just a current snapshot.

Fivetran + dbt Labs completes the stack from there. dbt Labs transforms and governs your raw Outbrain data into clean, trusted, AI-ready tables, using its full modeling, testing, and documentation capabilities so agents query campaign performance with confidence.

What your Outbrain data unlocks for your team

With Outbrain data in a central warehouse, AI agents unlock capabilities your team couldn't access before.

• True conversion visibility — agents identify which campaigns drive conversions, not just clicks, across your full campaign history.
• Audience and targeting analysis — agents compare performance across segments and interests to find what's actually working.
• Budget change impact tracking — agents connect shifts in bids or budgets directly to changes in performance.
• Geographic performance breakdowns — agents analyze results by country without manual filtering.
• An open, interoperable foundation — your native advertising data sits alongside every other paid channel, ready for any agent to use.

FAQ

What does it mean for Outbrain data to be AI agent-ready?

It means Fivetran centralizes your campaign, budget, conversion, and targeting data in a warehouse or data lake, and dbt models it into clean tables and governs it so an AI agent can query it accurately. Without that preparation, the data stays split across separate reports that no agent can reconcile on its own.

What can my team actually do with AI agents and Outbrain data?

Teams can ask agents to identify which campaigns actually convert, compare performance across audience segments, connect budget changes to performance shifts, and break results down by geography, all without manually pulling and merging multiple report types.

Is Outbrain data ready for AI agents out of the box?

Not without preparation. Fivetran + dbt Labs must centralize, model, and govern Outbrain data before an agent can query it reliably.

Do we need a data engineering team to set this up?

No. Fivetran automates the sync of your Outbrain data into your warehouse or data lake, and dbt Labs' modeling framework speeds up transformation, so teams get AI-ready data without building pipelines themselves.

How does Fivetran get Outbrain data ready for AI agents?

Fivetran moves your Outbrain data reliably into your warehouse or data lake, keeping campaign, budget, and conversion data fresh and complete. dbt Labs then transforms and governs that raw data into clean, AI-ready tables using its full modeling and testing capabilities, giving teams a fast, trusted path to analysis-ready data.

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