How to Connect Microsoft Ads (Bing Ads) to ChatGPT in 1 Minute (No Code)

Most teams do monitor their Microsoft Ads performance. They check dashboards, track conversions, and adjust bids.

But when it comes to deeper questions, the ones that actually drive growth, things usually slow down.

• Are we scaling budget into high-performing segments or wasting spend on marginal gains?
• Which keywords perform well on Bing but are missing in Google Ads?
• Which campaigns are overfunded vs. underfunded?

These answers already exist in your account, but they’re scattered across reports, segments, and comparisons. Getting to them takes time, exports, and manual analysis.

That’s the real gap: not data access, but data clarity.

When you connect Microsoft Ads to ChatGPT via Windsor’s native app, you skip the manual work and go straight to answers. Ask questions in plain language, compare performance across channels, and uncover actionable insights in seconds, not days.

🚀  Connect your Microsoft Ads data to ChatGPT with Windsor.ai. Try it free for 30 days → onboard.windsor.ai/app/bing.

Here’s how to set this up and move from basic reporting to advanced AI-powered analysis.

Getting Bing Ads into ChatGPT with Windsor.ai: 2 quick steps

Windsor.ai offers a native ChatGPT app you can install in one click. Once connected, you can instantly analyze your Bing Ads data (and any other connected data sources) directly inside ChatGPT — no code, no setup headaches, no ongoing maintenance.

Prerequisites

• A Microsoft Advertising account (with at least one active or historical campaign)
• A Windsor.ai account (free trial or paid)
• A ChatGPT account 

Step 1. Connect Bing Ads to Windsor

Go to onboard.windsor.ai/app/bing and sign in to your Microsoft Advertising account to grant Windsor.ai access.

Choose the account(s) you want to connect to ChatGPT. You can add multiple accounts (depending on your plan), making it easy to analyze performance across clients, regions, or business units in one place.

Behind the scenes, Windsor.ai pulls your campaign, ad group, keyword, and audience data via the Microsoft Advertising API and normalizes it into a structure ChatGPT can instantly query.

No manual setup. No data prep. Just clean, ready-to-analyze data.

Step 2. Activate Windsor’s native app in ChatGPT

Open Windsor’s native ChatGPT app and click Connect. Grant access to your Windsor.ai account, and the setup is completed.

Open a new chat and confirm your Bing Ads data is flowing correctly with a quick test prompt:

What Microsoft Ads accounts are connected to Windsor?
Show me total spend for the last 30 days.

Numbers look right? Great! You’re ready to dive into deeper analysis.

High-impact analyses you can run on your Microsoft Ads data (prompt ideas)

Instead of digging through reports, use these prompts to quickly identify what to scale, what to fix, and where you’re losing budget.

Uncover hidden inefficiencies and growth opportunities in your Microsoft Ads account

Even well-managed Microsoft Ads accounts develop inefficiencies over time.

Wasted keywords accumulate. Budget shifts toward underperforming campaigns. Quality Scores drift down and inflate CPCs.

An audit that would take hours manually takes just one prompt with Windsor.ai + ChatGPT.

Full efficiency snapshot: where does this account stand?

Summarize my Microsoft Ads account performance for the last 30 days:
Total spend, total conversions, overall CPA, CTR, and ROAS.

How does this compare to the previous 30 days?

Which metric changed most significantly?

What should I fix first?

Identify the top 5 issues in my Microsoft Ads account that are having the biggest negative impact on performance.

Rank them by potential impact on CPA or conversions and suggest an action plan to fix them.

Find campaigns running on autopilot with no recent optimization

Which campaigns have been active for more than 60 days with no conversion improvement month over month?

These are candidates for a strategy review.

Ad quality score audit: find where CPCs are silently inflated

Which campaigns or ad groups have an ad quality score below 5?

How much spend have these low-quality segments accumulated in the last 30 days?

Lower quality scores mean higher CPCs — what is the estimated cost premium from these underperforming ads?

Spot top-performing ads: where can you scale safely?

Which campaigns or ad groups have the best CPA and could scale with increased budget without hurting efficiency?

Define your next optimization steps

Summarize my Microsoft Ads performance and provide 5 clear actions I should take this week to improve results.

Microsoft Ads vs. Google Ads: instant performance comparison

For teams running both platforms, the most valuable analysis is a direct comparison — same objective, different platforms.

Where is each channel more efficient? Where is one cannibalizing the other? Which keywords work on Bing that struggle on Google?

ChatGPT can run this comparison directly once both sources are connected to Windsor.

Side-by-side CPA comparison

Compare Microsoft Ads and Google Ads performance for the last 30 days.

For each platform show: total spend, total conversions, CPA, CTR, and ROAS.

Which platform is more efficient overall?

Are there campaign types where one significantly outperforms the other?

Find keywords performing on Bing that aren’t in Google

List my top 10 keywords on Microsoft Ads by conversion volume in the last 60 days.

Which of these keywords are not running in my Google Ads account (or have lower match coverage)?

These represent search demand being captured on Bing that we might be missing on Google.

Identify the device performance gap between platforms

Compare conversion rate and CPA by device (desktop, mobile, tablet) on Microsoft Ads vs. Google Ads for the last 30 days.

On which device does each platform perform best?

Should we adjust device bid modifiers differently across platforms based on this data?

Budget optimization

Based on monthly performance comparison, how should I split budget between Microsoft Ads and Google Ads to maximize conversions or ROAS?

Microsoft Search Network vs. partner sites: not all Bing traffic is equal

Microsoft Advertising serves ads on two distinct networks: the core Microsoft Search Network (Bing, Microsoft Edge, and Microsoft’s own properties) and search partner sites (Yahoo, DuckDuckGo, AOL, and other syndicated partners).

These two networks often have meaningfully different performance profiles.

Instead of treating Bing traffic as one channel, ChatGPT helps you evaluate each network independently and allocate budget accordingly.

Network performance comparison

Break down campaign performance by network for the last 60 days:
Microsoft Search Network vs. search partner sites.

For each network show: impressions, clicks, CTR, conversions, CPA, and spend.

Is the conversion rate significantly different between networks?

Should we consider excluding partner sites from campaigns where they underperform?

Find wasted spend in your campaigns

Some campaigns quietly drain budget without driving meaningful results.

With ChatGPT, you can instantly identify these inefficiencies and reallocate spend where it actually performs.

Spot zero-conversion campaigns that are eating your budget

Which campaigns have spent more than $100 in the last 30 days with zero conversions?

How long have they been running?

Are these brand awareness campaigns with a different objective, or genuine inefficiencies?

Calculate CPC efficiency: where are you paying more than necessary?

Which keywords have a CPC more than 50% above the campaign average but a below-average conversion rate?

These are keywords where we are overpaying for underperforming traffic.

Reallocate the budget for better performance

Based on the last 30 days, how should I reallocate my Microsoft Ads budget across campaigns to improve overall CPA?

Show which campaigns should receive more budget and which should be reduced or paused.

Agency use: cross-account Microsoft Ads reporting at scale

For agencies managing multiple Microsoft Ads accounts, the native interface means switching between accounts one at a time.

Windsor connects all of them and makes cross-account analysis possible in a single ChatGPT workspace.

Create a cross-account performance summary

For all connected Microsoft Ads accounts, show: total spend, conversions, CPA, and ROAS for the last 30 days.

Rank accounts by CPA ascending (most efficient first).

Flag any account where CPA deteriorated by more than 20% vs. last month.

Generate a client-ready monthly report

Create a monthly performance summary for [client name]'s Microsoft Ads account.

Include: spend, conversions, CPA, CTR, ROAS, and key trend vs. last month.

Highlight the top 3 performing campaigns and flag any concerns.

Write in plain language suitable for a non-technical client.

Bonus: Analyze Microsoft Ads alongside your full marketing mix

Microsoft Ads data on its own tells you what happened on Bing.

But the questions that actually matter for your business growth go beyond a single platform:

• How does Bing compare to the rest of your paid media mix?
• Do Microsoft Ads clicks actually convert on your site?
• Which channels are driving your most valuable customers?

Answering these requires connecting data across tools — analytics, CRM, and other marketing platforms.

🔗 With Windsor.ai, you can unify Microsoft Ads data with 325+ sources (analytics, social, e-commerce, CRM, and more) and analyze all your business data inside ChatGPT.

No silos. No manual joins. Just one conversation across your entire marketing dataset.

Here are some high-impact combinations to try:

• Microsoft Ads + Google Ads: The most common and most underutilized cross-platform analysis. Connect both and ask ChatGPT to compare CPA, ROAS, impression share, and device performance across both platforms simultaneously. Identify where Bing is outperforming Google and allocate budget accordingly or find keyword gaps where Bing coverage should be expanded.
• Microsoft Ads + GA4: Microsoft Ads reports clicks and attributed conversions via its own tracking. GA4 records actual on-site behaviour after those clicks. Connect both and ask ChatGPT: Which Microsoft Ads campaigns produce traffic that actually engages with your site? Are there campaigns with strong Bing CTR but a high GA4 bounce rate, indicating a landing page mismatch?
• Microsoft Ads + Shopify or WooCommerce: For e-commerce advertisers, Microsoft Ads ROAS reflects pixel-attributed revenue. Your store records actual completed orders. Connect both and ask ChatGPT to reconcile Microsoft Ads reported revenue against actual Shopify net revenue — which product campaigns overstate ROAS because of returns?
• Microsoft Ads + LinkedIn Ads: B2B advertisers often run both Microsoft Ads (with LinkedIn targeting) and LinkedIn Ads natively. Connect both and ask ChatGPT: For the same job function or industry targeting, which platform delivers a lower CPA? Is the LinkedIn audience data in Microsoft Ads adding enough value to justify the reach restriction it imposes?
• Microsoft Ads + HubSpot or Salesforce: For B2B advertisers, the most important Microsoft Ads question is pipeline quality, not CPA. Connect both and ask ChatGPT to join Microsoft Ads campaign data with CRM contact and deal records via UTM parameters — which Bing campaigns produce leads that actually become qualified pipeline?

What Microsoft Ads data you can analyze in ChatGPT via Windsor.ai

Most teams only scratch the surface of Microsoft Ads data.

With Windsor.ai and ChatGPT, you can go deeper and analyze performance across networks, devices, and segments in a single report to uncover insights that drive smart optimization decisions.

Windsor.ai makes over 225 Bing Ads data fields available in ChatGPT, including the most impactful metrics and dimensions listed below:

Segmentation dimensions (how you break down performance)

Optimization & diagnostic signals (what needs fixing)

Performance metrics (how well your ads perform)

Account structure (how data is organized)

Conclusion

Microsoft Ads isn’t a side channel; it’s an underused advantage.

Lower CPCs, high-intent audiences, and unique targeting capabilities are already there. What’s been missing is the ability to fully understand and act on the data.

With Windsor.ai + ChatGPT, that gap disappears. Your Microsoft Ads data, alongside Google Ads, GA4, and more, becomes instantly explorable, comparable, and actionable.

No static dashboards. No manual exports. Just instant answers.

🚀 Connect Microsoft Ads to ChatGPT with Windsor.ai to turn raw data into winning decisions! Start your free trial now.

FAQs

What are the existing ways to connect Microsoft Ads to ChatGPT?

There are several ways to integrate Microsoft Ads into ChatGPT, depending on your preferred setup and resources:

• Native integrations (e.g., Windsor.ai app): dedicated connectors that link Microsoft Ads directly to ChatGPT with minimal setup and no code.
• Manual exports: downloading reports from Microsoft Ads and uploading them into ChatGPT or spreadsheets.
• BI tools & connectors: syncing data into dashboards or databases, then querying it via AI tools.
• Custom API pipelines: building internal integrations using the Microsoft Advertising API.

Each approach varies in complexity, speed, and scalability — from quick but manual workflows to fully automated setups.

What’s the fastest way to connect Microsoft Ads to ChatGPT?

The fastest way is to use Windsor.ai’s native ChatGPT app.

You connect your Microsoft Ads account to Windsor.ai in one click, then enable the ChatGPT app, and your data becomes instantly available inside ChatGPT.

No code, no pipelines, and no ongoing maintenance required — just direct access to your data, ready for analysis.

What Microsoft Ads data does Windsor pull into ChatGPT?

Windsor connects to the Microsoft Advertising API with read-only access and gives ChatGPT access to campaign-level, ad group-level, keyword-level, and account-level data.

Key fields include: spend, impressions, clicks, CTR, CPC, conversions, conversion rate, CPA, revenue, ROAS, ad quality score, campaign type, campaign status, campaign labels, network (Microsoft Search vs. partner sites), device, country, account ID, and account name.

Can I compare Microsoft Ads and Google Ads performance in the same ChatGPT conversation?

Yes, and this is one of the most valuable uses of Windsor for multi-platform paid search teams. Connect both Microsoft Ads and Google Ads to Windsor and all data is queryable in the same ChatGPT conversation. Ask for a direct CPA and ROAS comparison, identify keywords covered on one platform but not the other, compare device performance across platforms, or ask ChatGPT to recommend budget reallocation based on where each platform is currently more efficient.

Can I connect multiple Microsoft Ads accounts for agency reporting?

Yes. Connect each Microsoft Advertising account to Windsor separately and all are available in the same ChatGPT conversation. This makes cross-account comparison straightforward for agencies. You can easily rank client accounts by CPA efficiency, flag accounts where performance deteriorated last month, or generate client-ready monthly summaries across your entire Microsoft Ads portfolio in a single prompt.

Is there a native Microsoft Ads connector for ChatGPT?

Not a dedicated one. OpenAI has not released an official Microsoft Advertising connector in ChatGPT’s connector directory.

Is it safe to connect my Bing Ads data to ChatGPT via Windsor.ai?

Yes, because Windsor connects to Microsoft Advertising with read-only permissions. ChatGPT can analyze campaign performance, identify optimizations, and surface recommendations, but it can’t create campaigns, adjust bids, change budgets, pause ad groups, or take any action inside your Microsoft Advertising account. All changes are made by you in the Microsoft Advertising dashboard.