Meteor Iron Router Ga

Google analytics for Iron Router

Digital Marketing & SEOJavaScriptMIT

Abstract

Meteor Iron Router Ga is an open-source Digital Marketing & SEO project. Google analytics for Iron Router. Google analytics (universal edition) for Meteor with some Iron Router sugar for tracking page views and doing A/B testing with Content Experiments. It is built using JavaScript. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

Google analytics (universal edition) for Meteor with some Iron Router sugar for tracking page views and doing A/B testing with Content Experiments.

Configure analytics by adding a ga section to the public section of your Meteor settings. The only required property is id which is your Google Analytics tracking ID.

2. Objective

Google analytics for Iron Router

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

4. Technology Stack

JavaScript

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/reywood/meteor-iron-router-ga.git
cd meteor-iron-router-ga
$ meteor add reywood:iron-router-ga
if (Meteor.isClient) {
    Router.plugin('reywood:iron-router-ga');
}

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 reywood 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.

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