Event Layer

A very simple analytics abstraction layer. Write your events once, then send them where ever you want.

Digital Marketing & SEOJavaScriptMIT

Abstract

Event Layer is an open-source Digital Marketing & SEO project. A very simple analytics abstraction layer. Write your events once, then send them where ever you want. A very very simple abstraction layer for analytics code. Write your events once, then send them where ever you want. 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

A very very simple abstraction layer for analytics code. Write your events once, then send them where ever you want.

Would you like to request an integration? We'd love to help out! Open an issue to get started.

If the docs are publicly available or it's supported by Analytics.js, it should be even easier. Link any docs you may have for Analytics.js or the Javascript API, where available.

2. Objective

A very simple analytics abstraction layer. Write your events once, then send them where ever you want.

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/kidGodzilla/event-layer.git
cd event-layer
npm install event-layer

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 kidGodzilla 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.

View Source on GitHubDownload ZIP

Want to build this as your internship project?

Work on a Digital Marketing & SEO project like this with mentor guidance, weekly reviews and an internship certificate from Training Trains, Erode — online or offline.

Apply for Digital Marketing & SEO Internship