How to get your Microsoft Advertising data ready for agentic AI

Microsoft Advertising holds some of your most valuable paid search data — campaign spend, keyword performance, ad group results, search terms, and conversions across every account you run on Bing and Yahoo. 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 keywords are wasting spend this month" in seconds rather than days. Fivetran + dbt Labs delivers the complete data foundation agents need — Fivetran moves Microsoft Advertising data reliably into your warehouse or data lake, and dbt transforms it into trusted, AI-ready tables.

Why Microsoft Advertising data is critical for agentic AI

Paid search teams make daily decisions about budget, bids, and keywords, but the data needed to make those decisions well is scattered across accounts and locked in a platform built for campaign management, not analysis. Without a data foundation built for agents, a marketing lead has to log into multiple accounts, export reports, and stitch spend and conversion numbers together by hand before answering a basic question. That process takes hours, and by the time the answer arrives, the campaign has already spent more money on the wrong keywords.

This is a scale problem as much as a speed problem. A team running dozens of campaigns across multiple accounts cannot manually review every keyword, ad group, and search term every day. And reports pulled once a week are stale before anyone reads them. Agentic AI closes that gap, but only when it has infrastructure built for agents, not just analytics — data that is current, complete, and organized well enough for an AI agent to reason over without human translation.

What agentic AI can do with Microsoft Advertising data

Once Microsoft Advertising data is AI-ready, an agent moves from reporting the past to actively managing performance. A paid search manager can ask which campaigns are burning budget without producing conversions, and get a ranked answer immediately instead of building a spreadsheet first.

An agent can flag underperforming keywords automatically, comparing cost per click and conversion rate across accounts to surface which terms should be paused or shifted to a different match type. It can also scan search term reports to identify new queries worth adding as keywords and irrelevant queries wasting spend that should become negatives.

Instead of waiting for a weekly report, a marketing lead can ask an agent to explain why cost per conversion rose in a specific region or country and get an answer grounded in campaign, geographic, and landing page performance in one pass. An agent can also compare account-level spend and results across account managers or business units, giving leadership a consistent view without anyone manually reconciling numbers.

How Fivetran gets your Microsoft Advertising data ready for agentic AI

Raw Microsoft Advertising data is not usable for agent workloads as it sits. It is split across accounts, spread across dozens of report types at different levels of detail, and constantly changing as campaigns run. An agent working from an outdated or incomplete export gives an outdated or incomplete answer, and no business leader wants to act on that.

Fivetran moves Microsoft Advertising data reliably into your warehouse or data lake, keeping it fresh, complete, and ready to query. It handles multi-account syncing so every account rolls into one place, keeps historical performance backfilled for trend analysis, and updates continuously so new spend, clicks, and conversions show up without manual exports. That gives you a centralized, cleansed, and governed data set, not a folder of disconnected reports.

Fivetran + dbt Labs, together as one company, deliver the full stack from movement to transformation. dbt turns raw Microsoft Advertising data into clean, trusted, AI-ready tables at the account, campaign, ad group, keyword, and search term level. Prebuilt quickstart dbt models give you a fast starting point, and dbt's full capabilities — modeling, testing, and documentation — extend well beyond that starting point to give agents governed data they can trust.

What your Microsoft Advertising data unlocks for your team

AI-ready Microsoft Advertising data turns a paid search account into a resource your whole marketing organization can query directly.

• Faster budget decisions: An agent surfaces which campaigns and keywords deserve more spend without a manual pull of account data.
• Keyword and search term cleanup: Agents identify wasted spend and new keyword opportunities from search term performance.
• Cross-account visibility: Leadership gets one consistent view of performance across every account, without reconciling exports.
• Geographic and regional insight: Agents surface which countries and regions are converting best, grounded in an open, interoperable foundation.
• Faster answers to ad hoc questions: Instead of a weekly report, teams get answers to performance questions in seconds.

FAQ

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

It means your campaign, keyword, ad group, and search term data is centralized in your warehouse or data lake, kept current, and organized into trusted tables an AI agent can query directly. Without that foundation, an agent has no reliable data to reason over.

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

Teams can ask an agent which campaigns or keywords are underperforming, get automatic alerts on wasted spend, and receive answers to performance questions grounded in current data instead of waiting on a manual report.

Is Microsoft Advertising data ready for AI agents out of the box?

No. Raw Microsoft Advertising data needs to move into a warehouse or data lake, get consolidated across accounts, and be modeled before agents can use it reliably and act on it with confidence.

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

No. Fivetran automates the data movement end to end, and prebuilt dbt quickstart models give teams a fast, low-effort starting point for the transformation layer without hiring extra engineers.

How does Fivetran get Microsoft Advertising data ready for AI agents?

Fivetran moves data from every Microsoft Advertising account into your warehouse or data lake reliably and keeps it current, including historical backfill. dbt Labs, part of the same company, transforms and governs that raw data with full modeling, testing, and documentation capabilities, and prebuilt quickstart models give teams a fast path to AI-ready tables.

Start building your data foundation for agentic AI

Your Microsoft Advertising data is only as useful as the foundation behind it. Fivetran + dbt Labs give you that foundation, moved, modeled, and ready for AI agents to use.

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