Create a Self-Updating Customer Journey Analytics System

Build a fully automated customer journey analytics system using AI-powered path analysis and affordable tools.

Who it’s for: Marketers, growth teams, and small businesses.

GA4

Event tracking

Hotjar

Behavior analytics

Python

ML journey analysis

Power BI

Dashboards

KNIME

No-code automation

Miro

Journey visualization

Step-by-Step Guide

  1. 1

    Phase 1: Foundation Setup (Week 1-2)

    Install and configure GA4 and Hotjar for event and session tracking. Use Google Apps Script to automate data pulls into Google Sheets.

  2. 2

    Phase 2: AI Analytics Implementation (Week 3-4)

    Set up Python with Scikit-learn for ML-powered analysis. Connect Power BI to your data source and build visual dashboards.

  3. 3

    Phase 3: Full Automation & Optimization (Week 5-6)

    Use KNIME to create no-code workflows that retrain models and detect anomalies. Deploy AI path prediction models to generate optimization suggestions.

Stats

Time Saved: ~6-10 hours/week
Cost Breakdown: $0-$29/month

Pro Tips

  • Validate hypotheses with GA4 metrics and Hotjar recordings.
  • Automate model retraining with KNIME for accuracy.
  • Schedule weekly dashboard emails for key stakeholders.
  • Compare predicted vs. actual paths to find anomalies.