Wagalytics

Abstract

1. Introduction

In the snippet below, you'll see site_id. This is the ID (Primary Key) of your Wagtail Site. For every Wagalytics site you add in your multisite WAGALYTICS_SETTINGS you'll need to make sure you have the proper GA View ID and API Key. One View ID and API Key won't work for all your sites automatically.

This module provides a simple dashboard of Google Analytics data, integrated into the Wagtail admin UI. Tested on Wagtail 2.0+.

Ensure that your code snippet is included on each page you want to be tracked (likely by putting it in your base.html template.) (Admin > Property > Tracking Code)

2. Objective

A Google Analytics dashboard in your Wagtail admin

This project demonstrates how Python can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/tomdyson/wagalytics.git
cd wagalytics

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by tomdyson and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.