Prepare data before every question.
- Export files from the marketing platform
- Reformat and reconcile columns
- Rebuild the analysis for each follow-up
Connect Facebook Ads to ChatGPT and ask about spend, ROAS, CPA, and creative performance across every ad account you manage.
Catchr MCP gives ChatGPT read access to the accounts you select, alongside Google Ads, GA4, and your other marketing sources. No CSV exports, no manual campaign summaries.
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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 today's Facebook Ads data for [List of Client Account Names/IDs] and compare it with [Baseline Period, e.g., the previous 7-day daily average]. For each account, review Spend, Impressions, Clicks, CTR (all), CPC (all), CPM, Purchases, and Cost per website purchase; use [Client KPI Targets] where provided. Label every account Healthy, Watch, or Critical, identify the metric and campaign responsible for each Watch or Critical status, and return a ranked morning action list with one evidence-based diagnosis and one concrete next step per affected client.
Yes. Meta provides an official ads MCP server that connects your Meta ad account to ChatGPT and other MCP-compatible assistants. It covers Meta data and can both report on the account and perform authorized actions, such as creating ads, editing budgets, or updating audiences.
Catchr MCP answers a different need: it puts Facebook Ads next to your other connected marketing sources in the same conversation, with read-only access to your advertising accounts.
ChatGPT can query the 440 metrics and 233 dimensions of the Catchr Facebook Ads connector, from spend, impressions, and CPM to purchases, purchase value, website purchase ROAS, leads, and cost per purchase. The exact fields depend on the dataset and reporting level you select.
Down to the individual ad. ChatGPT can work at account, campaign, ad set, or ad level, by day, and split results by placement, publisher platform, country, or gender. Ask it to state the level it used, and to keep levels separate before adding up totals or rates.
Yes. ChatGPT can rank campaigns and ad sets against your ROAS or CPA target, compare spend with daily or lifetime budgets to spot pacing risks, and point to where budget should move. Set the business target, the comparison period, and a minimum volume first, so a campaign with three purchases does not top the list.
Yes. ChatGPT can trace a drop in purchase efficiency to the campaign, ad set, or ad behind it, and check signals such as rising frequency or falling CTR on a creative. Ask it to separate what the data shows from possible explanations, and to name the next check, so an unusual value is not presented as a proven cause.
Strong prompts name the action, the account, the date range, the comparison period, and the KPI or threshold. The twelve prompts above follow this pattern for agencies, freelancers, advertisers, and data teams.
Yes, when the other sources are also connected to Catchr: Google Ads, GA4, a CRM such as HubSpot, or an e-commerce platform such as Shopify. 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, so one large account or a definition mismatch does not distort the comparison.
Three things: a Facebook user with access to the ad accounts you want to analyze, a Catchr workspace with Facebook Ads connected, and a ChatGPT account where the Catchr app is available and installed.
Check app availability in your ChatGPT account and workspace before connecting. On ChatGPT Business or Enterprise, a workspace admin may need to enable the app first.
ChatGPT works with the data Catchr returns at the moment you ask. Ask it to state the latest reporting date it received rather than assuming the data is real time.
Historical coverage is set by Meta and depends on the fields and breakdowns: up to 37 months for standard Insights data, 13 months for breakdowns of unique-count metrics and for hourly breakdowns, and 6 months for frequency breakdowns.
For a trend across January 12, 2026, use the same supported attribution window on both sides of that date. Meta stopped returning data for 7-day and 28-day view-through attribution windows on that date.
No. Catchr's Facebook Ads connection through MCP is read-only: ChatGPT can analyze your campaigns, bids, budgets, and ads, but it cannot change them. Every change still goes through Ads Manager, after someone has checked the figures.
Where supported by your ChatGPT app and workspace settings, you can also require approval before the app is used.
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.