Save Analytics From Content Blockers

Abstract

1. Introduction

Originally introduced as an example in the article "How to prevent your analytics data from being blocked by ad blockers", this open-sourced application is now a complete stand-alone solution for Google Tag Manager and Google Analytics.

Google Tag Manager (or plain Google Analytics) is a set of scripts used on the front end to track user actions (button clicks, page hits, device analytics, etc). Google's out-of-the-box solution works well, however, almost all ad-blocking software block Google tag manager / Google analytics by default. Hence, companies that are just on their start may loose a big portion of valuable information about their customers - how to they use the product? What do they like/dislike? Where do they stuck? And so on - an individual precision in analytics is crucial to understand the behavior of users.

In order to solve ad-blocking issues, we have to introduce a proxy which will forward front-end requests to Google domain through our own domain. Also, we have to modify Google Tag Manager scripts "on-the-fly" to request our own domains instead of Google's ones, because all ad-blocking software block requests to domains (and some particular URLs!) which they have in their filters. Furthermore, some requests require additional data modifications which can't be done using standard proxying.

2. Objective

A proxy back end for Google Tag Manager & Google Analytics

This project demonstrates how JavaScript 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.

• Node.js (LTS) and npm
• A modern web browser
• VS Code or any code editor
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/dataunlocker/save-analytics-from-content-blockers.git
cd save-analytics-from-content-blockers

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 dataunlocker 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.