Matomo Analytics Report

For Matomo Analytics, this automated workflow retrieves visitor data from the last 30 days, analyzes it using AI, and stores insights in Baserow. It helps identify user engagement patterns and provides actionable SEO recommendations for visitors who have engaged more than three times, enhancing website performance and user experience.

7/8/2025
10 nodes
Medium
schedulemediumschedule triggerbaserowsticky noteautomationcronapiintegration
Categories:
Schedule TriggeredMedium Workflow
Integrations:
Schedule TriggerBaserowSticky Note

Target Audience

This workflow is ideal for:
- Digital Marketers: Professionals looking to analyze website visitor behavior to enhance SEO strategies.
- Website Owners: Individuals who want to gain insights into user engagement on their sites.
- Data Analysts: Experts needing to automate data collection and analysis for improved decision-making.
- Small Business Owners: Entrepreneurs aiming to leverage data-driven strategies for better online performance.

Problem Solved

This workflow addresses the challenge of understanding visitor behavior on a website by:
- Automating Data Retrieval: It fetches visitor data from Matomo without manual intervention.
- Providing Insights: It analyzes visitor paths and engagement patterns, helping to identify popular pages and recommend improvements.
- Storing Results: It saves the analysis results in Baserow, making it easy to track and reference insights over time.

Workflow Steps

  • Trigger the Workflow: The workflow can be initiated either on a schedule (weekly) or manually by clicking ‘Test workflow’.
    2. Fetch Data from Matomo: It sends a POST request to the Matomo API to retrieve visitor details from the last 30 days for users with more than 3 visits.
    3. Parse Visitor Data: The retrieved data is formatted into a clear prompt for analysis, highlighting visitor actions and engagement metrics.
    4. Send Data to A.I.: The formatted visitor data is sent to an A.I. model for in-depth analysis and insights generation.
    5. Store Results: The insights generated by the A.I. are stored in a Baserow table for future reference and tracking.

    • Customization Guide

    To customize this workflow:
    - Modify API Tokens: Replace the placeholder for the Matomo API token with your actual token.
    - Adjust Data Queries: Change the parameters in the ‘Get data from Matomo’ node to tailor the data retrieval to your specific needs (e.g., different date ranges or visitor counts).
    - Personalize A.I. Prompts: Edit the content of the prompt sent to the A.I. in the ‘Send data to A.I. for analysis’ node to focus on specific insights or recommendations you desire.
    - Change Baserow Table Structure: Update the fields in the ‘Store results in Baserow’ node to match your desired data structure and ensure it aligns with your reporting needs.