Prepare your next client review with answers from Matomo. Connect your account to Catchr, then use ChatGPT or Claude to explore users, conversions and ecommerce results through Catchr MCP.
For freelancers and agencies, start with the fields available in the connected account and turn a reporting question into a focused analysis.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Matomo
Google Ads
GA4
Used by the world's leading companies
Matomo uses a live schema, so begin by discovering the available reports and columns. Select the metrics and dimensions relevant to your question, and confirm that they can be queried together before building a breakdown.
Explore Users, New Users and Returning Users to review audience changes. Where available together, use Country or Region to identify which geographic segments deserve attention in a client discussion.
Select the available date columns for your report and keep comparison periods explicit. Check metric definitions before treating new and returning user figures as parts of a single total.
Use available Campaign Source, Campaign Medium, Campaign Name or Source - Medium dimensions to frame acquisition reporting. Pair compatible dimensions with Conversions, Conversion Rate or Visits with Conversions to examine recorded outcomes.
Keep conversion counts and visits with conversions separate in the report. They answer different questions and should retain their own labels when preparing client talking points.
Review available Unique Purchases, Average Order Value, Revenue and Product Revenue fields to understand ecommerce results. Subtotal, Shipping and Tax can add detail where the selected report exposes them.
Check how each revenue measure is defined before combining figures. If the account has the premium Matomo Custom Reports plugin, discover its configured reports and select the columns needed for a more specific client question.
A focused Matomo analysis, an assembled client report and a question through Catchr MCP serve different needs. Choose the approach that fits the work, from investigating conversions to preparing a recurring review.
Use focused analysis to investigate a Matomo result, a report to present selected measures consistently, and Catchr MCP to ask follow-up questions in your AI tool. Keep the account, reporting period and field definitions consistent across the work.
Connect Matomo to Catchr using API-key authentication and select the relevant account. Choose ChatGPT or Claude through Catchr MCP, then ask which reports and columns are available before requesting your first analysis.
If you use Matomo Custom Reports, discover the configured reports first. That option depends on the premium Custom Reports plugin; accounts without it can use the default connector path.
Replace the bracketed values with your account, periods and reporting choices. Each prompt starts with discovery so the analysis uses columns available in your Matomo connection.
Using Catchr, discover the available Matomo reports and columns for [account]. Check whether Users, New Users and Returning Users can be queried by Country for [date range] and [comparison date range]. Use the compatible columns I select to show both periods and their differences, then flag countries whose Users changed by more than [threshold percent]. Explain any unavailable breakdowns and avoid adding user measures together without checking their definitions.
Copy promptUsing Catchr, discover the campaign and conversion columns available for Matomo [account]. For [date range], check which of Campaign Name, Campaign Source and Campaign Medium can be queried with Conversions, Conversion Rate and Visits with Conversions. Ask me to select a supported breakdown, then list results with Conversion Rate below [threshold percent]. Keep the measures separate and suggest questions to investigate without claiming a cause.
Copy promptUsing Catchr, discover the available ecommerce reports and columns for Matomo [account]. Confirm which of Unique Purchases, Average Order Value, Revenue and Product Revenue are available for [date range] and [comparison date range]. Use the columns I select to produce a comparison table and a short client briefing. Keep Revenue and Product Revenue separate, flag missing values, and explain any limits that affect the comparison.
Copy promptUsing Catchr, check whether Matomo Custom Reports are available for [account] and list the configured reports and their columns. Ask me to select [report] and [columns] to answer [client reporting question] for [date range]. Query that selection and summarize the findings with any reporting limits. If the plugin is absent, discover the default reports and ask me to choose available columns before proceeding.
Copy promptConnect Matomo to Catchr with API-key authentication, select the relevant account, and choose ChatGPT or Claude through Catchr MCP. Start by discovering available reports and columns so your first question uses fields exposed by that connection.
Available fields can include Campaign Source, Campaign Medium, Campaign Name, Conversions, Conversion Rate and Visits with Conversions. Discover the live schema and confirm compatible combinations before requesting a campaign breakdown. Conversions and visits with conversions should remain separate measures.
Custom Reports depend on Matomo's premium Custom Reports plugin. Discover the configured reports, inspect their columns and select the fields for your question. If the plugin is absent, use the default connector path and its available reports.
Discover the date columns and dimensions available in the selected report before choosing a breakdown. The field set includes date-related dimensions, Country and Region, but their presence does not establish every supported combination, reporting granularity or historical range.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
