Prepare for client calls with questions about your connected Adobe Analytics data. Catchr MCP lets freelancers and agencies work with that data in ChatGPT or Claude, starting with the columns available for the selected account.
Choose the measures you need, check the available date breakdowns, and ask for an analysis you can use in your client report.
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Start by discovering what your Adobe Analytics connection exposes. Select the columns relevant to the client’s question, then confirm which date dimensions work with them before requesting a breakdown.
Identify the available columns before choosing what to analyze. Use their returned names and descriptions to select measures and dimensions that answer your client’s question.
This gives freelancers and agency teams a clear basis for the report without assuming a fixed list of Adobe Analytics metrics.
Date, Year month, Year Quarter, and Year are listed date dimensions. Confirm their availability with your selected columns to structure a daily review, monthly report, or quarterly discussion.
Ask for comparable periods and make the selected dates explicit so the client can see what each comparison covers.
Day of the week, Hour of the day, and Month of the year offer calendar breakdowns to check during discovery. Where supported with your chosen measure, use them to investigate how results vary within a week, day, or year.
For weekly reporting, check the available Week of the year, Week of the year (start Sunday), and Year week dimensions. State which definition the report uses before interpreting differences.
A focused investigation, a recurring client report, and a follow-up question each need a different output. Use your connected Adobe Analytics data through Catchr in the workflow that fits the task.
Use a report when the client needs a consistent Adobe Analytics view. Use Catchr MCP when you need to explore a question or prepare an explanation, checking available columns and date compatibility as you go.
Connect Adobe Analytics to Catchr using API-key authentication and select the relevant account. Connect your AI destination through Catchr MCP, then ask ChatGPT or Claude to discover the available columns.
Select your reporting columns and dates before requesting the first analysis. Confirm supported date breakdowns instead of assuming every listed dimension is available in every query.
Use these prompts to discover columns, compare periods, explore calendar patterns, and check a reporting table. Replace the bracketed values with your client’s account, dates, and selected columns.
Using Catchr, which Adobe Analytics columns are available for [account]? List their returned names, types, and descriptions where available. For [reporting question], identify relevant candidate columns and explain why they fit. Ask me to select the columns before querying results.
Copy promptUsing Catchr, how did [selected measure] in Adobe Analytics for [account] differ between [start date A]–[end date A] and [start date B]–[end date B]? Discover the available columns first and verify that the selected measure supports the requested comparison. Return the values and absolute difference, calculate percentage change only where meaningful, and flag unequal period lengths.
Copy promptUsing Catchr, how does [selected measure] in Adobe Analytics for [account] vary by Day of the week between [start date] and [end date]? First confirm that the measure and dimension are available together. If supported, return the breakdown and flag values above [threshold]. Explain the grouping used and describe the observed differences without assigning a cause.
Copy promptUsing Catchr, does an Adobe Analytics table for [account] using [selected columns] and Date cover each date from [start date] to [end date]? First verify that the columns can be queried together. Return the daily table, list dates absent from the returned results, and distinguish absent dates from explicit zero values. Summarize what needs checking before I use the table in a client report.
Copy promptYou can discover available columns, query selected data, and request period comparisons or calendar breakdowns where supported. For client preparation, ask for a table and an explanation tied to the returned Adobe Analytics results.
Connect Adobe Analytics in Catchr using API-key authentication and select the relevant account. Then connect ChatGPT or Claude through Catchr MCP and discover the available columns before requesting an analysis.
Discover the columns exposed by your connection and select your measures from that result. Listed date dimensions include Date, Year month, Day of the week, and Hour of the day; confirm compatibility with your selected columns before querying.
Reporting queries do not modify Adobe Analytics source data.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
