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, review Line Ads data for [List of Client Accounts] over [Recent Period] and compare it with [Comparison Period]. For every account, report Account Name, Account ID, Account Configured Status, Account Delivery Status, Account Delivery Status Reason, Account Available Campaign Objective, Account Country, Account Currency, Account Timezone, and Extracted Date. Where account-specific performance fields are exposed, also summarize available spend, impressions, clicks, conversions, and conversion value against [Client KPI Targets]; do not estimate missing metrics. Rank accounts as Healthy, Watch, or Critical, explain the evidence for each non-Healthy label, and give the consultant one immediate action per flagged client.
ChatGPT can query connected Line Ads data for campaign delivery, spend, conversion, and revenue reporting.
Representative fields include Account Product Type, Account Configured Status, Account Country, Account ID, and Account Modified Date. Useful breakdowns include Account Name, Account ID, Account Country, Account Currency, and Account Delivery Status. 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 Account Name, Account ID, Account Country, Account Currency, and Account Delivery Status.
Ask ChatGPT to state the reporting level it used and keep incompatible levels separate before calculating totals, rates, or comparisons.
Yes. ChatGPT can rank campaigns, products, audiences, or placements against your efficiency and volume targets. Relevant fields include Account Product Type, Account Configured Status, Account Country, Account ID, and Account Modified Date.
Set the business target, comparison period, and minimum volume before requesting priorities or recommendations.
Yes. ChatGPT can isolate the campaign, creative, audience, placement, product, or search term behind a performance change. Useful breakdowns include Account Name, Account ID, Account Country, Account Currency, and Account Delivery Status.
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 Line 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 Line 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 Line 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.