Vue Analytics

Google Universal Analytics support in Vue.js

Digital Marketing & SEOJavaScriptApache-2.0

Abstract

Vue Analytics is an open-source Digital Marketing & SEO project. Google Universal Analytics support in Vue.js. Simple implementation of Google Analytics in Vue.js. It is built using JavaScript, Vue.js. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

Simple implementation of Google Analytics in Vue.js

This plugin will helps you in your common analytics tasks. Dispatching events, register some dimensions, metric and track views from Vue components.

npm install vue-ua -S or yarn add vue-ua if you use Yarn package manager

2. Objective

Google Universal Analytics support in Vue.js

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

4. Technology Stack

JavaScriptVue.js

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/ScreamZ/vue-analytics.git
cd vue-analytics

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 ScreamZ and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.

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