{ "@context": "https://schema.org", "@graph": [ { "@type": "WebPage", "@id": "https://www.catchr.io/mcp/microsoft-ads#webpage", "url": "https://www.catchr.io/mcp/microsoft-ads", "name": "Microsoft (Bing) Ads MCP for Client Reporting | Catchr", "description": "Connect Microsoft Ads to ChatGPT or Claude through Catchr MCP. Explore spend, ROAS and impression share to prepare client reports and campaign reviews.", "dateModified": "2026-11-03T00:00:00.000Z", "isPartOf": { "@type": "WebSite", "@id": "https://www.catchr.io/#website", "name": "Catchr", "url": "https://www.catchr.io/" }, "about": { "@id": "https://www.catchr.io/mcp#software" } }, { "@type": "SoftwareApplication", "@id": "https://www.catchr.io/mcp#software", "name": "Catchr MCP", "url": "https://www.catchr.io/mcp", "applicationCategory": "BusinessApplication", "operatingSystem": "Web", "description": "Connect supported AI assistants to your connected marketing data through Catchr MCP.", "provider": { "@type": "Organization", "name": "Catchr", "url": "https://www.catchr.io/" } } ] }

Home > Destinations > MCP > Microsoft (Bing) Ads

Ask your Microsoft Ads data with Catchr MCP

Prepare your next client call with answers from your connected Microsoft Ads accounts. Catchr MCP lets freelancers and agencies ask ChatGPT or Claude about advertising spend, reported revenue and campaign performance.

Connect Microsoft Ads, select the relevant accounts and choose your AI destination. Start with a practical question, such as which campaigns need a closer return-on-ad-spend review.

AI assistant Connected

“Compare paid media performance across my client accounts and flag the biggest changes.”

C Catchr MCPapi.catchr.io/mcp
Find accounts Query fields Return data
Microsoft (Bing) Ads
Google Ads
GA4
+97sources

Used by the world's leading companies

Turn Microsoft Ads reporting into useful client conversations

Explore conversion efficiency, search visibility and campaign changes. Discover the available columns first, then select the metrics and dimensions that answer your question. Each query must use fields supported together by a single Microsoft report.

01

Review spend and conversion returns

Use Spend, CPC, Revenue and Return On Ad Spend to examine acquisition costs and reported returns. Cost Per Conversion and Conversion Rate help frame questions about conversion efficiency, while All Conversions and All Revenue offer additional reporting measures where available.

Select compatible columns before comparing campaigns. Revenue depends on values reported by the advertiser, and conversion-based analysis depends on conversion tracking, so include those limits in client summaries.

02

Investigate missed search visibility

Review Impressions alongside Absolute Top Impression Share Percent and the shares lost to budget or rank, where supported together. These measures help identify whether limited budget or ad rank deserves further investigation.

Use separate compatible reports to explore Quality Score, Ad Relevance and Landing Page Experience. Treat these signals as evidence for a review, rather than proof that a particular adjustment will improve results.

03

Explain changes and check campaign context

Use Item Changed, Attribute Changed and How Changed to summarize reported account changes. This gives agencies a concrete starting point when preparing an explanation of what changed during a client reporting period.

For a separate campaign review, discover compatible columns such as Campaign Id, Campaign Labels, Tracking Template and Destination Url. Keep change reporting and performance reporting separate when their fields cannot be requested together.

View all Microsoft (Bing) Ads metrics and dimensions

Choose how to review your Microsoft Ads data

A focused campaign investigation, a recurring client report and an AI question serve different needs. Use Catchr to bring Microsoft Ads data into the workflow that fits the task.

Ways to work with Microsoft Ads data through Catchr
CriterionSource-focused analysisAssembling reportsQuerying through Catchr MCP
Best fitInvestigate a Microsoft Ads performance question.Prepare a recurring client performance view.Ask a specific question in ChatGPT or Claude.
Starting pointSelect an account and compatible analysis columns.Select accounts, reporting columns and a destination.Connect the AI destination and discover available columns.
Example taskExamine impression share lost to budget or rank.Present spend and reported returns for a client.Ask which campaigns fall below a chosen ROAS threshold.
Result to useA focused review of selected metrics.A report in Looker Studio or a spreadsheet.An answer based on the requested connected data.
Reporting constraintUse fields supported by one Microsoft report per query.Keep incompatible field selections in separate queries.Check field compatibility before requesting an answer.

Use a recurring report to keep the client review consistent, then ask focused questions through Catchr MCP when a result needs explaining. Keep the account, dates and metric definitions explicit so each answer has a clear reporting scope.

Microsoft (Bing) Ads to MCP pricing

Choose your plan by the number of platforms and accounts you report on.

Starter

For freelancers and small teams.

$ 24 /mo

Billed monthly · cancel anytime

Platforms3
Accounts10
Start free trial

Momentum

For in-house teams and small agencies.

$ 70 /mo

Billed monthly · cancel anytime

Platforms5
Accounts30
Start free trial

Growth

For agencies managing more clients.

$ 239 /mo

Billed monthly · cancel anytime

Platforms10
Accounts100
Start free trial

Scale

For teams reporting at scale.

$ 599 /mo

Billed monthly · cancel anytime

Platforms25
Accounts500
Start free trial

Connect Catchr MCP to your AI assistant

Connect Microsoft Ads to Catchr using Microsoft account authorization, then select the advertising accounts you want to analyze. If you use several Microsoft logins, choose the account associated with the intended client.

Connect ChatGPT or Claude through Catchr MCP. Discover the available Microsoft Ads columns and confirm that your selected fields can be queried together before starting the analysis.

Four Microsoft Ads questions to bring to your next client review

Replace the bracketed values with your client account, reporting dates and review thresholds. Each prompt starts by checking available columns so the analysis can use a compatible Microsoft report.

PROMPT 01

Find campaigns that need a ROAS review

Using Catchr, which campaigns in [account] had Spend above [spend threshold] and Return On Ad Spend below [ROAS threshold] during [start date] to [end date]? Discover the available columns and check whether Campaign Id, Spend, Revenue and Return On Ad Spend can be queried together. Use the compatible selection I approve, rank qualifying campaigns by Spend and summarize their reported returns. If the required fields are incompatible, explain the limit before running the analysis.

Copy prompt
PROMPT 02

Separate budget and rank visibility concerns

Using Catchr, where should I investigate missed top-position visibility for [account] during [start date] to [end date]? Discover compatible columns for Campaign Id, Absolute Top Impression Share Percent, Absolute Top Impression Share Lost To Budget Percent and Absolute Top Impression Share Lost To Rank Percent. Use the selection I approve to flag campaigns with either loss measure above [percentage threshold]. Show the two loss measures separately and suggest questions for a campaign review without predicting gains.

Copy prompt
PROMPT 03

Prepare a conversion-efficiency comparison

Using Catchr, how did conversion efficiency change for [account] between [first date range] and [second date range]? Discover compatible columns for Campaign Id, Spend, Cost Per Conversion and Conversion Rate, then use the selection I approve for both periods. Show changes in Spend and Cost Per Conversion, express Conversion Rate changes in percentage points and flag cost-per-conversion increases above [percentage threshold]. Identify missing values and explain conversion-tracking limits before drawing conclusions.

Copy prompt
PROMPT 04

Summarize reported account changes

Using Catchr, what reported changes should I discuss with the client for [account] during [start date] to [end date]? Discover whether Item Changed, Attribute Changed and How Changed are available together, and use the compatible columns I select. Group the returned changes by item, attribute and change type, then prepare a concise client-call summary. Keep this review separate from performance metrics and do not attribute performance changes to these edits without supporting analysis.

Copy prompt

Microsoft Ads reporting with Catchr MCP: common questions

How do I connect the right Microsoft Ads account?

Authorize Microsoft Ads in Catchr with the relevant Microsoft login, then select the client's advertising accounts. If you use several Microsoft accounts, check which login you select during authorization. Connect your AI destination through Catchr MCP to start asking questions about the selected data.

Can I combine every Microsoft Ads field in one query?

No. Each query must use fields supported together by a single Microsoft report. Discover the available columns and check compatibility before querying. If your selection is incompatible, narrow it or request separate reports.

What does Microsoft Ads ROAS tell me?

Return On Ad Spend is reported revenue divided by spend. Revenue is optionally reported by the advertiser, and the standard revenue measure excludes conversion goals marked for exclusion from bidding. Review the selected revenue and conversion measures before interpreting ROAS in a client report.

How can I investigate impression share lost to budget or rank?

Compare Absolute Top Impression Share Lost To Budget Percent with Absolute Top Impression Share Lost To Rank Percent using compatible reporting columns. They estimate missed opportunities to appear in the top ad position for different reasons. Use them to prioritize investigation; they do not establish how much performance would improve after a change.

Talk with your marketing data

Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.

14 days free-trial
No credit-card required
100+ sources