Prepare data before every question.
- Export files from the marketing platform
- Reformat and reconcile columns
- Rebuild the analysis for each follow-up
Three steps to your first source-aware prompt.
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 Claude using the connector details from Catchr.
Replace account, period, KPI target, and threshold variables before you ask Claude.
“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 Claude 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 Claude. Every prompt asks for evidence, limits, and a concrete output.
Clear answers for marketers comparing connectors, data sources, reporting workflows, and dashboard setup.
Claude can analyze Mixpanel raw event exports returned through Catchr. Available fields include the Records row counter, UTM Campaign, Email, normalized date dimensions, and additional event properties stored in properties_json.
Claude can work at the exported event-row level, using Records to count rows and dimensions such as UTM Campaign, Email, hour, day, week, month, quarter, and year to break down the results.
Yes, when the requested records and date dimensions are available. Claude can compare exported event-row counts by hour, day, week, month, quarter, or year, and further segment the results by fields such as UTM Campaign.
Claude can identify changes in returned event-row counts across time periods and UTM campaigns. Ask it to separate observed patterns from possible explanations and to note missing records or fields before drawing conclusions.
Useful prompts include comparing monthly event-row counts by UTM campaign, finding unusual hourly or weekly changes, summarizing campaign-tagged activity, and checking whether returned event properties are complete. Specify the project, period, fields, filters, and desired output.
Yes, when the other sources are also connected through Catchr and share reliable dates or identifiers. Align timezones, reporting periods, field definitions, and join keys first; otherwise, ask Claude for a side-by-side comparison.
Yes, provided each Mixpanel project is connected and accessible through Catchr. Ask Claude to analyze each project separately before creating a combined summary, and specify the project list, period, timezone, and comparison criteria.
You need valid Mixpanel authorization details, the relevant project_id, a Catchr workspace with Mixpanel connected, and Catchr MCP enabled in Claude. Available records remain subject to the selected project and its permissions.
Claude analyzes the Mixpanel raw event records returned through Catchr and should not assume they are real time. Freshness and historical coverage depend on the requested period, connected project, available export data, permissions, and Mixpanel API limits.
No. Catchr provides Mixpanel raw event data to Claude for analysis and does not give Claude permission to edit events, properties, project settings, or other source data.
Our team is always here to answer any questions you may have about our data connector.
Connect your marketing platform to Claude with Catchr MCP and start investigating current campaign performance.