Google analytics template

Automated workflow for Google Analytics that compares weekly page engagement and search results, providing actionable SEO insights. It integrates data from the past two weeks, analyzes country views, and sends results to AI for optimization suggestions, all while saving outputs to Baserow for easy tracking and management.

7/8/2025
22 nodes
Complex
schedulecomplexschedule triggersticky notegoogleanalyticsbaserowautomationadvancedcronapiintegration
Categories:
Schedule TriggeredComplex Workflow
Integrations:
Schedule TriggerSticky NoteGoogleAnalyticsBaserow

Target Audience

  • Digital Marketers looking to analyze website performance using Google Analytics data.
    - SEO Specialists who want to compare engagement metrics and search results to improve site visibility.
    - Content Creators aiming to understand audience behavior and enhance content strategy based on data insights.
    - Business Owners wanting to track website performance and make informed decisions based on user engagement and traffic data.
    - Data Analysts who need an automated solution for gathering and processing analytics data weekly.

    • Problem Solved

    This workflow automates the process of collecting, comparing, and analyzing Google Analytics data on a weekly basis. It addresses the challenge of manually tracking metrics such as page engagement, country views, and search results, enabling users to gain insights efficiently without the need for repetitive manual data collection.

    Workflow Steps

  • Schedule Trigger: The workflow is initiated on a defined schedule (e.g., weekly).
    2. Fetch Current Week Data: It retrieves page engagement statistics and country views for the current week.
    3. Fetch Previous Week Data: It collects the same metrics for the previous week to enable comparison.
    4. Data Parsing: The workflow processes the retrieved data to extract relevant metrics into a simplified format.
    5. Google Search Results: It gathers data on organic search performance for both the current and previous weeks.
    6. Send Data to A.I.: The processed data is sent to an A.I. model for analysis and recommendations regarding SEO improvements.
    7. Save to Baserow: Finally, the A.I. output, including suggestions and comparative data, is stored in a Baserow database for easy access and reporting.

    • Customization Guide

  • Adjust Schedule: Users can modify the Schedule Trigger parameters to change how often the workflow runs (e.g., daily, weekly).
    - Change Property ID: Update the propertyId in the Google Analytics nodes to connect to a different Google Analytics account.
    - Modify A.I. Prompts: Users can edit the content of the messages sent to the A.I. to tailor the analysis or focus on specific metrics.
    - Customize Data Fields: In the Save A.I. output to Baserow node, users can add or modify fields to fit their reporting needs.
    - Expand Metrics: Additional metrics can be included in the Google Analytics nodes to gather more comprehensive data, depending on the user’s requirements.