Matomo Analytics Report
This workflow aims to automate the acquisition of visitor data from the Matomo web analytics tool, focusing on user behavior for those who have visited more than three times. Through advanced AI models, in-depth analysis is conducted to generate SEO optimization recommendations, and the results are systematically stored in a Baserow database. This process not only enhances the efficiency of data analysis but also provides professional insights and optimization strategies for website operations teams, SEO experts, and small businesses, helping to accurately identify areas for website improvement and enhance traffic quality and conversion effectiveness.
Workflow Name
Matomo Analytics Report
Key Features and Highlights
This workflow automatically retrieves visitor data from the Matomo web analytics tool, filters user behavior details for visitors with more than three visits, and leverages advanced AI models for in-depth data analysis. It generates SEO optimization recommendations and systematically stores the results in a Baserow database, creating an integrated automated process for data collection, intelligent analysis, and result archiving.
Core Problems Addressed
Traditional web analytics often remain at the data presentation level, lacking professional insights and actionable optimization suggestions. This workflow uses AI-assisted analysis to help users uncover critical visitor paths, popular pages, and user engagement patterns, accurately pinpointing website optimization directions to improve traffic quality and conversion rates.
Application Scenarios
- Website operations teams regularly obtaining in-depth user behavior analysis reports
- SEO specialists automatically generating optimization strategy recommendations
- Data analysts quickly extracting key visitor behavior characteristics
- Product managers monitoring user retention and page performance
- Small businesses reducing the barrier to data analysis through automated workflows
Main Process Steps
- Trigger Mechanism: Supports manual test triggers and scheduled weekly automatic runs
- Data Acquisition: Pulls detailed visitor behavior data for users with more than three visits in the past 30 days via the Matomo API
- Data Parsing: Uses custom JavaScript code to organize visitor behavior paths and page view information
- AI Analysis: Invokes the Meta LLaMA large language model to generate SEO insights and optimization suggestions based on visitor data
- Result Storage: Saves AI-generated analysis reports along with timestamps into Baserow database tables for easy review and management
Involved Systems or Services
- Matomo: Source of website visitor data
- Openrouter AI (Meta LLaMA model): Intelligent analysis engine
- Baserow: Result storage and management platform
- n8n: Overall workflow automation platform
Target Users and Value
- Website operators and SEO experts who want to enhance work efficiency and decision-making through automated analysis
- Small and medium business owners who can obtain professional-grade website analysis reports without a dedicated data team
- Data analysts and product managers seeking quick user behavior insights to optimize user experience and content layout
- Technology and automation enthusiasts aiming to easily build AI-driven data analysis automation systems
This workflow integrates the advantages of automated data collection, AI-powered intelligent analysis, and cloud database storage, enabling users to achieve intelligent interpretation and maximize the value of website traffic data.