If you run ad operations for a publisher or media property, you already know that Google Ad Manager holds the numbers that matter most: what your inventory earns, how much of it sells, and how well those impressions actually perform. The problem is getting to those numbers in a form you can reason about.
The Google Ad Manager UI is dense. Trending revenue by ad unit over the last quarter, comparing eCPM across advertisers, or finding the line items dragging your fill rate down usually means building a custom report, exporting it, and rebuilding it every time the question changes. Ad ops teams end up living in spreadsheets instead of making decisions.
And the moment you want to ask a slightly different question (“which ad units lost fill rate week over week?” or “where is viewability slipping?”), you are back in the report builder starting over. The data is all there. The friction is in the asking.
Here’s the fix: connect Google Ad Manager to ChatGPT with Windsor.ai, and analyze it all with AI.
Connecting Google Ad Manager to ChatGPT with Windsor.ai: 2 steps
Windsor.ai pulls your Google Ad Manager reporting into ChatGPT so you can ask questions in plain English and get answers back, no report exports required. Here is how the two pieces connect.
📘 For the full walkthrough, see the Windsor documentation on integrating data into ChatGPT.
Before you start
- A Google Ad Manager account with access to the network reporting you want to analyze.
- A Windsor.ai account. There is a free forever plan with no credit card, and paid plans from $19/month if you need more sources or accounts.
- A ChatGPT account that can install apps.
Step 1. Connect Google Ad Manager to Windsor
Go to onboard.windsor.ai/app/google_ad_manager and sign in to Windsor. Authorize Google Ad Manager when prompted, then select the network and accounts you want to make available. Windsor reads your reporting data so it is ready to query. This is read-only access: Windsor analyzes your Google Ad Manager data, it never changes anything in your ad server.
Step 2. Install Windsor’s native app in ChatGPT
Open Windsor’s native ChatGPT app and click Connect. Grant access when prompted. That links your Windsor data to ChatGPT with no configuration files and no URLs to paste.
To confirm everything is working, ask ChatGPT a quick verification question:
Using Windsor, list the Google Ad Manager accounts I have connected and show total revenue and impressions for the last 7 days.
If ChatGPT returns your ad units and numbers, you are connected and ready to analyze.
The metrics that matter for Google Ad Manager
These are the core Google Ad Manager reporting metrics you can pull into ChatGPT and trend, compare, or break down by ad unit, line item, advertiser, order, creative size, and date.
| Metric | What it tells you |
|---|---|
| Ad requests | How much inventory was available to be filled, the denominator behind fill rate. |
| Impressions | How many ads were actually served across your ad units and line items. |
| Clicks | Interaction volume on served creatives. |
| CTR | Clicks divided by impressions, a quick read on creative and placement engagement. |
| Coverage / fill rate | The share of ad requests that were filled, your key measure of monetized inventory. |
| Unfilled impressions | Requests that went unsold, showing where inventory demand is falling short. |
| eCPM | Effective revenue per thousand impressions, the standard yield benchmark by line item or advertiser. |
| Total revenue | What your inventory earned across ad units, orders, and advertisers. |
| Viewable impressions | How many served impressions met the viewability standard. |
| Viewability rate | The share of measurable impressions that were viewable, a quality signal buyers care about. |
What to ask ChatGPT about your Google Ad Manager data: prompt ideas
Once connected, you can ask questions in plain English and let ChatGPT do the reporting. Here are a few to start with.
Revenue and yield
Using Windsor, show total Google Ad Manager revenue by ad unit for the last 30 days, sorted highest to lowest, and flag the three ad units with the biggest week-over-week change.
Using Windsor, break down eCPM by line item for last month and tell me which advertisers are delivering the highest yield.
Fill rate and unsold inventory
Using Windsor, trend my Google Ad Manager fill rate by day for the last 8 weeks and highlight where unfilled impressions spiked.
Using Windsor, which ad units have the most unfilled inventory this month, and how does their fill rate compare to the same period last month?
Viewability and quality
Using Windsor, show viewability rate by ad unit and creative size for the last 30 days and point out the placements below a 60% viewability rate.
Bonus: analyze Google Ad Manager alongside your full marketing stack
Google Ad Manager tells you what your inventory earns, but the fuller picture comes from putting it next to your audience, content, and buying data. Windsor connects far more than one platform.
Windsor.ai offers 339 data sources you can bring into ChatGPT for unified, cross-channel reporting from a single source of truth.
- Google Ad Manager + GA4: tie ad revenue and fill rate back to the audience and content driving the sessions, so you can see which pages and audiences actually monetize.
- Google Ad Manager + Google Ads: compare the inventory you sell against the media you buy to understand net yield and where owned demand overlaps with sold inventory.
- Google Ad Manager + your data warehouse: blend ad server revenue with BigQuery or Snowflake data for a complete revenue view across the business.
Conclusion
Google Ad Manager holds your most important revenue signals, but the reporting friction keeps ad ops teams stuck in export-and-rebuild cycles. Connecting it to ChatGPT with Windsor.ai turns those signals into plain-English answers you can get on demand, from revenue by ad unit to fill-rate trends to viewability problem spots.
Setup takes two steps and no code, and you can start on the free forever plan with no credit card. Once your data is flowing, ask any question you like and let ChatGPT do the reporting for you.
🚀 Connect Google Ad Manager to ChatGPT with Windsor.ai and start analyzing your ad server data today.
FAQs
Do I need to write any code to set this up?
No. The setup is fully no-code. You authorize Google Ad Manager in Windsor, install Windsor’s native app in ChatGPT and click Connect. There are no configuration files and no URLs to paste.
How fresh is the data in ChatGPT?
Windsor pulls your Google Ad Manager data on demand when you ask a question in ChatGPT, so you are working with current reporting rather than a stale export.
Which Google Ad Manager metrics can I analyze?
You can analyze core ad server metrics including ad requests, impressions, clicks, CTR, coverage and fill rate, unfilled impressions, eCPM, total revenue, viewable impressions, and viewability rate, broken down by ad unit, line item, advertiser, order, creative size, and date.
Can I combine Google Ad Manager with other data sources?
Yes. Windsor connects 339 data sources, so you can analyze Google Ad Manager alongside GA4, Google Ads, your data warehouse, and more for unified, cross-channel reporting in ChatGPT. This is for analysis and reporting only; Windsor reads your data, it does not write back to any platform.
Windsor vs Coupler.io

