How to get your AdRoll data ready for agentic AI

AdRoll holds some of your most valuable business data — prospecting and retargeting campaign performance, ad and ad group results, and conversion activity across every advertisable business unit your team runs. Getting it ready for agentic AI means giving AI agents access to a centralized, cleansed, and governed version of that data, so they can answer questions like "which retargeting audience is converting best this month" in seconds rather than days. Fivetran + dbt Labs delivers the complete data foundation agents need — Fivetran moves AdRoll data reliably into your warehouse or data lake, and dbt transforms it into trusted, AI-ready tables.

Why AdRoll data is critical for agentic AI

Retargeting and prospecting campaigns live or die on quick reaction — an audience that stops converting needs to get caught fast, before spend keeps flowing to it. A retargeting or performance marketing manager running campaigns across multiple advertisable business units can't manually check every campaign, ad group, and conversion result fast enough to catch that shift in time.

Today, checking performance means logging into the platform, exporting campaign and conversion data, and stitching it together with other channel data by hand, often days after the numbers mattered most. Because AdRoll doesn't finalize data until roughly 48 hours after each day closes, teams working from same-day exports often make decisions on numbers that haven't settled yet. This is infrastructure built for agents, not just analytics — without a centralized, governed data foundation, every retargeting decision waits on someone finding time to pull and reconcile a report.

What agentic AI can do with AdRoll data

Once AdRoll data is centralized and AI-ready, a retargeting manager can ask an agent which audiences and ad groups are driving the most conversions this week, and get a reliable answer immediately instead of exporting campaign data manually.

A performance marketing manager can ask an agent to flag any campaign where spend is climbing while conversions stay flat, catching wasted retargeting budget before it compounds. Instead of comparing prospecting and retargeting performance across separate advertisable business units by hand, a marketing operations lead can ask an agent for one consolidated view of ad and campaign performance across every business unit at once.

An agent can also track how conversion performance shifts as new ads and ad groups launch, helping a media buyer identify which new creative variations are actually driving results versus which ones are underperforming. And because AdRoll's finalized numbers land about 48 hours after each day closes, an agent working from AI-ready data always reflects fully reconciled figures, not a preliminary snapshot that can shift after the fact.

How Fivetran gets your AdRoll data ready for agentic AI

AdRoll data in its raw form is split across advertisables, campaigns, ad groups, ads, and conversions, each its own report, and spread across every business unit a team manages. AdRoll also doesn't finalize numbers until about 48 hours after each day, so pulling a same-day export risks working from figures that haven't settled yet.

Fivetran solves this by moving AdRoll data reliably into a central warehouse or data lake, centralized, cleansed, and governed, and kept fresh and complete for agents to query across every advertisable business unit at once. Fivetran waits for AdRoll's 48-hour finalization window before treating data as settled, and performs daily rollback syncs to capture any late-arriving changes, so the numbers an agent works from are accurate, not just fast. For teams standardizing on an open architecture, the Fivetran Managed Data Lake Service delivers that same reliability directly into a data lake.

Fivetran + dbt Labs deliver the full stack from movement to transformation. dbt Labs' modeling, testing, documentation, and governance capabilities turn raw, multi-account AdRoll data into clean, trusted, AI-ready tables, giving teams a reliable foundation without building models from scratch.

What your AdRoll data unlocks for your team

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

• Consolidated performance across business units — see campaign, ad group, and ad performance across every advertisable in one view.
• Faster wasted-spend detection — an agent flags campaigns where spend rises without matching conversion growth.
• Audience-level conversion insights — identify which retargeting audiences are converting best right now.
• Reconciled, finalized reporting — always work from figures that reflect AdRoll's 48-hour finalization window, not a preliminary snapshot.
• An open, interoperable foundation — retargeting data lives alongside every other marketing data source, ready for whatever AI tool your team adopts next.

FAQ

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

It means Fivetran centralizes your campaign, ad group, ad, and conversion data across every advertisable business unit in a warehouse or data lake, cleanses it of inconsistencies, and governs it so an AI agent can query it accurately. Instead of exporting reports by hand, an agent surfaces a trusted, reconciled answer in seconds.

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

Your team can ask an agent to identify top-converting audiences, flag wasted retargeting spend, compare performance across business units, and track how new ad creative is performing, all without pulling a manual report first.

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

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

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

No. Fivetran automates the data movement across every advertisable business unit, and dbt's prebuilt and customizable models handle the transformation, so marketing teams don't need engineering resources to get started.

How does Fivetran get AdRoll data ready for AI agents?

Fivetran moves AdRoll data reliably into your warehouse or data lake, respecting AdRoll's 48-hour finalization window so figures are accurate, not preliminary. dbt Labs then transforms and governs that data into clean, AI-ready tables using its full modeling, testing, and documentation capabilities, so your team can trust every number an agent returns.

[CTA_MODULE]