Prepare data before every question.
- Export files from the marketing platform
- Reformat and reconcile columns
- Rebuild the analysis for each follow-up
Trusted by marketing teams that talk to data every day
Meta Ads
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Configure the Catchr remote MCP connection in ChatGPT using the connector details from Catchr.
Replace account, period, KPI target, and threshold variables before you ask ChatGPT.
“Why did CPA rise?” sounds simple. The answer is usually buried across exports, formulas, filters, and tabs before the analysis can even start.
Choose the right account, date range, breakdowns, and fields. Then wait for the file and do it again when the question changes.
Rename columns, fix formats, join tabs, and check formulas before you can trust the comparison.
Turn the numbers into a client-ready answer, then repeat the whole process for the inevitable follow-up.
Catchr MCP gives ChatGPT access to the marketing accounts you select, so each follow-up starts with the same marketing context instead of a new manual export.
Choose your role, open a workflow, then replace the bracketed variables before pasting the prompt into ChatGPT. Every prompt asks for evidence, limits, and a concrete output.
Using the Catchr MCP, pull Microsoft Ads data for [List of Client Account Names/IDs] over [Current Period, e.g., today or the last 7 days] and compare it with [Comparable Baseline Period]. At Account Name, Campaign Name, and Campaign Type level, review Spend, Impressions, Clicks, Ctr, CPC, Conversions, Cost Per Conversion, Revenue, and Return On Ad Spend against [Client-Specific KPI Targets]. For affected Search campaigns, inspect Search Query, Keyword, Delivered Match Type, Impression Share Percent, Impression Lost To Budget Percent, and Impression Lost To Rank Agg Percent; for Shopping campaigns, inspect Merchant Product Id and Product Group. Label every account Healthy, Watch, or Critical, explain the measurable driver, and return a ranked morning action queue with one concrete next step per client.
ChatGPT can query connected Microsoft Ads data for campaign delivery, spend, conversion, and revenue reporting.
Representative measures include Spend, Impressions, Clicks, CTR, and Conversions. Useful breakdowns include Campaign Name, Merchant Product ID, Product Group, and Country of Sale. The exact field set depends on the selected dataset and compatible reporting reporting level.
The available detail depends on the fields returned for the selected dataset. Useful breakdowns include Campaign Name, Merchant Product ID, Product Group, and Country of Sale.
Ask ChatGPT to state the reporting level it used and keep incompatible levels separate before calculating totals, rates, or comparisons.
Yes. ChatGPT can compare campaign and product-group performance against your ROAS, CPA, and volume targets. Relevant fields include Spend, Impressions, Clicks, CTR, and Conversions.
Set the business target, comparison period, and minimum volume before requesting priorities or recommendations.
Yes. ChatGPT can identify products, campaigns, or markets consuming spend without sufficient return. Useful breakdowns include Campaign Name, Merchant Product ID, Product Group, and Country of Sale.
Ask it to separate observed data, possible explanations, and the next validation step so an unusual value is not presented as a proven cause.
Strong prompts name the action, account or entity, date range, comparison, and KPI or threshold.
Yes, when the other sources are also connected to Catchr. Useful combinations include analytics, commerce, CRM, or other advertising sources.
Align dates, currencies, identifiers, and definitions first. If the sources cannot be joined reliably, ask for a side-by-side comparison rather than a single attributed result.
Yes, provided each one is connected and available through Catchr MCP. Ask for separate results first, then create the combined view.
Specify the currency, timezone, objective, attribution window, and KPI target. This keeps one large entity or a definition mismatch from distorting the comparison.
You need access that can authorize and view the relevant Microsoft Ads data, a Catchr workspace with the source connected, and Catchr MCP enabled in ChatGPT.
After selecting the required entities, you can ask questions in natural language without preparing a new CSV export for each analysis.
ChatGPT analyzes the records returned through the connected Catchr source; it should not assume the data is real time. Freshness and historical coverage can vary by dataset, field, selected period, and source API limits.
Ask it to state the latest campaign or reporting date and the attribution window used, together with the timezone, requested period, and any missing intervals before interpreting a trend.
No. Catchr MCP provides Microsoft Ads data for analysis; it does not give ChatGPT permission to change campaigns, bids, budgets, targeting, or ads.
Use the result to prepare an action plan, then make operational changes in Microsoft Ads. Review the supporting figures before acting on the recommendation.
Our team is always here to answer any questions you may have about our data connector.
Connect yout marketing platform to ChatGPT with Catchr MCP and start investigating current campaign performance.