Prepare your next client call with answers from your ChatGPT Ads account. Connect the source to Catchr, choose Claude or ChatGPT through Catchr MCP, and ask about campaign spend, ad performance, and click-through conversions.
For freelancers and agencies, it puts campaign questions into the same conversation as the numbers needed to answer them.
“Compare paid media performance across my client accounts and flag the biggest changes.”
ChatGPT Ads
Google Ads
GA4
Used by the world's leading companies
Review ChatGPT Ads performance at account, campaign, ad group, or ad level. Set a reporting period, select the details your client needs, and keep account currency and timezone visible when interpreting results.
Use spend, impressions, clicks, and click-through conversions to prepare a campaign performance review. Campaign names, statuses, start and end times, and daily or lifetime budgets add context to the results.
Compare CTR, CPC, and CPM across campaigns or periods. These rates are recalculated from aggregated clicks, impressions, and spend, so report totals should not be built by adding individual rates.
Move from a campaign summary to individual ad groups and ads. Review ad group names, descriptions, and statuses, then use ad titles, text, destination URLs, and review statuses to identify the creative behind each result.
Compare delivery and efficiency at ad level to build a focused list for creative review. The numbers can identify differences worth investigating; they do not establish why one message performed better.
Break down performance by country, device, or product to answer a specific client question. Product details can include item and feed IDs, title, brand, availability, price, and seller name.
Choose one of these segment types per query. Run separate country and device reports when you need both perspectives; campaign targeting settings are not a country performance breakdown.
A focused campaign investigation, a recurring client report, and a follow-up question need different ways of working. Catchr supports source-focused analysis, reports in your chosen destination, and questions over connected ChatGPT Ads data through MCP.
Use a recurring report to give clients a consistent ChatGPT Ads overview. Use Catchr MCP when you need to explore a change, inspect a particular campaign, or turn a performance question into a focused table for discussion.
Create an API key in Ads Manager and use it to connect ChatGPT Ads in Catchr. The key resolves one ad account; check that it is the client account you intend to analyze.
Choose Claude or ChatGPT through Catchr MCP, then ask a question with a date range and the campaign, ad group, or ad detail you need. For segmented reporting, specify country, device, or product individually.
Replace the bracketed values with your client account, reporting dates, and review thresholds. Each prompt defines a concrete result you can use to prepare a client discussion.
Using Catchr, compare ChatGPT Ads campaigns in [account] for [start date] to [end date] against [comparison start date] to [comparison end date]. Show campaign ID, campaign name, spend, impressions, clicks, click-through conversions, CTR, CPC, and CPM for both periods. Recalculate rates from each period's totals, rank campaigns by the largest increase in spend, and summarize the changes to discuss with the client. Include the account currency and reporting timezone.
Copy promptUsing Catchr, review ads in campaign [campaign ID] for [account] from [start date] to [end date]. Find ads with at least [minimum impressions] impressions and CTR below [CTR threshold]. Show ad ID, ad name, title, text, destination URL, status, review status, impressions, clicks, spend, and CTR. Rank them by spend and identify which ads merit a creative review without claiming that the copy caused the results.
Copy promptUsing Catchr, break down ChatGPT Ads performance for [account] from [start date] to [end date] by device type only. Show spend, impressions, clicks, CTR, CPC, and CPM, with rates calculated from the totals for each device. Highlight devices with spend above [spend threshold] and CPC above [CPC threshold], and state when missing data or zero clicks prevent a comparison.
Copy promptUsing Catchr, analyze ChatGPT Ads product performance for [account] from [start date] to [end date], using product as the only segment type. Show product feed ID, item ID, title, brand, spend, impressions, clicks, CTR, and CPC. Filter to products with spend of at least [spend threshold], rank them by clicks, and flag products below [CTR threshold] for further review. Keep products with missing details identifiable by their returned IDs.
Copy promptUse an API key created in Ads Manager to connect ChatGPT Ads in Catchr. Each key resolves one ad account. Verify the account, choose Claude or ChatGPT through Catchr MCP, and include a reporting date range in your first question.
Conversions counts click-through conversions attributed to the ads. You can review them by campaign, ad group, or ad. A conversions-only total uses campaign-level reporting. The metric does not provide revenue or ROAS.
No. A ChatGPT Ads reporting query supports one of these segment types at a time. Ask separate questions for country, device, and product performance. Campaign targeting settings describe configuration and should not be treated as observed country results.
Calculate CTR as total clicks divided by total impressions, CPC as total spend divided by total clicks, and CPM as total spend divided by total impressions, multiplied by 1,000. Recalculate these rates for the selected reporting group instead of summing row-level rates, and flag zero denominators.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
