Prepare your next client review with questions about the marketing accounts you manage. Catchr Unified Marketing brings category-scoped account selection and unified marketing fields to cross-platform reporting. Use Catchr MCP in ChatGPT or Claude to explore available data and turn selected columns into focused client answers.
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Start with the accounts relevant to your client and discover their available reporting fields. Choose compatible columns for cross-platform questions, then use the date dimensions that fit your review period.
Category-scoped account selection helps define which connected marketing accounts belong in a report. For agency and freelance work, make that selection explicit before asking a cross-platform question.
Discover the fields available for those accounts and choose the columns you want to review. Compare data only where the selected fields have compatible meanings.
Date, Year week, Year month, and Year Quarter provide calendar groupings for recurring client reporting. Use Year month for a monthly review or Year Quarter for a broader reporting period.
Select the reporting columns first and confirm how each should be summarized. Keep the date range and grouping consistent across the accounts you compare.
The date dimensions include Hour of the day and date-and-time groupings down to Year month day second. Discover whether the selected account data supports the detail needed for your question before requesting an hourly or more detailed breakdown.
Choose a time grouping that helps explain the selected data. A listed time dimension alone does not establish the underlying data's reporting granularity.
A focused account investigation, a recurring Looker Studio report, and a question through Catchr MCP serve different client needs. Define the accounts, columns, and reporting period for each approach.
Use source-focused analysis to investigate an account, Looker Studio to assemble a recurring cross-platform report, and Catchr MCP to ask follow-up questions about connected data. Keep account scope and field definitions consistent when moving between these workflows.
Connect Catchr Unified Marketing using its API-key authorization and select the relevant accounts within your reporting category. Choose ChatGPT or Claude through Catchr MCP as your AI destination. Begin by discovering the available fields, then select the columns and dates for your first client question.
Replace the bracketed values with your client accounts, reporting dates, and chosen columns. Start with field discovery so each later question uses data available for your selection.
Using Catchr, discover the available reporting fields for [accounts] in [category]. Which columns could support a comparable client report across these accounts? Show their available definitions and date dimensions, flag differences in meaning, and ask me to select columns before querying report data.
Copy promptUsing Catchr, query [accounts] from [start date] to [end date] using [selected columns] and group the results by Year month where supported. How did the selected values change month to month for each account? Confirm appropriate aggregation for each column, keep incompatible values separate, and summarize the changes for a client call.
Copy promptUsing Catchr, review [selected numeric column] for [accounts] between [start date] and [end date]. After confirming the column supports weekly aggregation, group by Year week and identify which account-weeks exceeded [threshold]. Show the supporting values and flag missing periods without treating them as zero.
Copy promptUsing Catchr, compare [selected columns] for [accounts] across [first date range] and [second date range]. Which values changed for each account, and where are cross-account comparisons supported by compatible field definitions? Confirm how each column should be summarized, show the period values side by side, and list any data limits that affect the client discussion.
Copy promptIt supports cross-platform marketing reporting with category-scoped account selection and unified marketing fields. For a client review, choose the relevant connected accounts and discover which available fields support the comparison you need.
Use API-key authorization to connect the source, select the relevant accounts, and choose ChatGPT or Claude through Catchr MCP. Start by asking for the available fields, then specify your selected columns and reporting dates.
The date dimensions include Date, Year week, Year month, and Year Quarter, as well as more detailed time groupings. Choose a grouping supported by the selected data; the presence of a time dimension does not guarantee that every account provides that level of detail.
First discover the available columns and check their definitions and aggregation rules. Unified reporting does not make every value directly comparable or additive. Request totals only for compatible selected columns, and keep other values separate by account.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
