Prepare data before every question.
- Export files from the marketing platform
- Reformat and reconcile columns
- Rebuild the analysis for each follow-up
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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 Google My Business data for [List of Client Accounts or Locations] over [Period] and compare it with [Comparison Period]. For each client, summarize Impression on Google Search on Mobile, Impression on Google Search on Desktop, Impression on Google Maps on Mobile, Impression on Google Maps on Desktop, Website visits, Phone calls, Directions requests, Total Review Count, and Average Rating Review. Evaluate results against [Client Targets or Historical Baseline], label each client Healthy, Watch, or Critical, explain the main evidence behind every Watch or Critical label, and rank the accounts the consultant should investigate today.
ChatGPT can query connected Google My Business data for location visibility, search, Maps, calls, website visits, direction requests, and action reporting.
Representative measures include Phone calls, Website visits, Directions requests, Total actions, and Views on Maps. Useful breakdowns include Date, Location name, Primary Category, Search terms, and Account Name. 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 Date, Location name, Primary Category, Search terms, and Account Name.
Ask ChatGPT to state the reporting level it used and keep incompatible levels separate before calculating totals, rates, or comparisons.
Yes. ChatGPT can compare calls, website visits, direction requests, Search views, and Maps views by location. Relevant fields include Phone calls, Website visits, Directions requests, Total actions, and Views on Maps.
Set the business target, comparison period, and minimum volume before requesting priorities or recommendations.
Yes. ChatGPT can surface locations or search themes that are gaining or losing customer attention. Useful breakdowns include Date, Location name, Primary Category, Search terms, and Account Name.
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 reviews, analytics, advertising, commerce, or CRM 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 location, category, timezone, period, and business target. This keeps one large entity or a definition mismatch from distorting the comparison.
You need access that can authorize and view the relevant Google My Business 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 location-performance or search-term reporting date, together with the timezone, requested period, and any missing intervals before interpreting a trend.
No. Catchr MCP provides Google My Business data for analysis; it does not give ChatGPT permission to change listings, publish posts, reply to reviews, or edit business information.
Use the result to prepare an action plan, then make operational changes in Google My Business. 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.