CONNECT KLAVIYO TO MUSE
Set up Klaviyo reporting in Muse
Adzviser retrieves the source data through its MCP reporting tools. Muse uses those results to answer your questions. Connect the source in Adzviser, then authorize Muse to use that connection.
Connect Klaviyo in Adzviser
In Adzviser, sign in to Klaviyo and allow Adzviser to read its reporting data. Add the source to the workspace you want to use in Muse.
Open Adzviser setup →Authorize Adzviser in Muse
Open Muse.ai and send: “Can you connect to custom Adzviser MCP at https://mcp.adzviser.com/http?” Select Connect on the Adzviser card, sign in to Adzviser, and select Complete Authorization via MCP. Return to Muse.
https://mcp.adzviser.com/httpVerify the first result
Ask Muse to list your Adzviser workspaces and their sources. Choose the workspace and confirm the account. Request a small report for a known period before expanding the analysis.
The Adzviser reporting connection is read-only. It can retrieve data for analysis; it cannot edit source records or campaigns.
A USEFUL FIRST KLAVIYO REPORT
Review campaigns and flows as separate groups
Build a report you can check
For two comparable 30-day periods, request campaign email recipients, opens, clicks, click rate and unsubscribe rate. Run a separate flow report with compatible fields. Within each group, identify messages where recipient volume rose while click engagement weakened. Retain the campaign or flow name and clarify the reporting window.
Interpret rate changes with their audience size
A campaign send and an ongoing flow reach people under different conditions. Compare like with like before declaring a winner. Open and click counts also describe engagement rather than revenue attribution. If you request commerce events, keep their event definitions and report scope separate from the email metrics.
Inspect the message behind the largest decline
Ask Muse to narrow a weak campaign or flow result to the available message detail and show the counts behind the rate. Prepare a review of the message, audience and timing, then define the metric to test in the next iteration.
Metrics for this report: Email recipients; Emails opened; Emails clicked; Email click rate; Email unsubscribe rate.
Relevant breakdowns: Campaign name; Flow name.
These are starting fields, not a promise that every combination belongs in one report. Use separate requests for different reporting levels and check the full field catalog for additional coverage.
COPY INTO MUSE
Run your first Klaviyo analysis
Paste this after connecting. Change the period or research subject to match your question, and let Muse confirm the selection before retrieving results.
Use Adzviser to analyze Klaviyo. List my workspaces and ask which connected account to use. For two comparable 30-day periods, request campaign email recipients, opens, clicks, click rate and unsubscribe rate. Run a separate flow report with compatible fields. Within each group, identify messages where recipient volume rose while click engagement weakened. Retain the campaign or flow name and clarify the reporting window. Use these metrics in compatible reports: Email recipients, Emails opened, Emails clicked, Email click rate, Email unsubscribe rate. Relevant breakdowns: Campaign name, Flow name. Check field compatibility and use separate tables for different reporting levels. State the actual reporting dates or observation window. Show the supporting rows, then give a short conclusion and one next investigation. Label missing data and separate observed changes from possible explanations.
