CONNECT FACEBOOK INSIGHTS TO MUSE
Set up Facebook Insights 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 Facebook Insights in Adzviser
In Adzviser, sign in to Facebook Insights 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 Facebook Page. 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 FACEBOOK INSIGHTS REPORT
Compare the response to a group of Page posts
Build a report you can check
Select posts published in a defined period and request their IDs, messages, publication times, views, likes, comments and shares. Ask Muse to state whether the returned metrics describe activity during the selected dates or cumulative post results. Rank comments and shares separately so a post with many passive likes does not obscure a stronger conversation starter.
Give older and newer posts a fair comparison
Posts published earlier have had more time to accumulate interactions when the metrics are cumulative. Group posts by similar age or explicitly label that limitation. Post views describe viewing activity; comments and shares describe different actions, and their sum is not a count of unique people.
Turn content patterns into a testable idea
Ask Muse to identify recurring topics among posts with stronger commenting or sharing, linking the pattern to the post IDs. Draft one new topic and the interaction measure you will review. Treat the pattern as a test hypothesis rather than proof that a format caused the result.
Metrics for this report: Post views; Post likes; Post comments; Post shares.
Relevant breakdowns: Post ID; Post message; Post creation datetime.
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 Facebook Insights 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 Facebook Insights. List my workspaces and ask which connected Facebook Page to use. Select posts published in a defined period and request their IDs, messages, publication times, views, likes, comments and shares. Ask Muse to state whether the returned metrics describe activity during the selected dates or cumulative post results. Rank comments and shares separately so a post with many passive likes does not obscure a stronger conversation starter. Use these metrics in compatible reports: Post views, Post likes, Post comments, Post shares. Relevant breakdowns: Post ID, Post message, Post creation datetime. 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.
