Astro Analytics

Abstract

1. Introduction

Astro components for site analytics

2. Objective

Astro components for site analytics

This project demonstrates how Astro, 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/Destiner/astro-analytics.git
cd astro-analytics

npm install astro-analytics
# or
pnpm install astro-analytics
# or
yarn add astro-analytics

import { Fathom } from 'astro-analytics';

<Fathom site="ABCDEF" src="https://youdomain.com/script.js" /> (if no src is set it will fallback to https://cdn.usefathom.com/script.js)
<GoogleAnalytics id="UA-156492295-1" />
<Metrical app="j5gZ1K26a" />
<Plausible domain="yourdomain.com" src="https://youdomain.com/yoursript.js" /> (if no src is set it will fallback to https://plausible.io/js/script.js)
<SimpleAnalytics />
<Umami id="4fb7fa4c-5b46-438d-94b3-3a8fb9bc2e8b" src="https://your-umami-app.com/umami.js" />
<Amplitude apiKey="<YOUR API KEY>" />
<Matomo id="1" src="https://yourdomain.com" />
<MinimalAnalytics id="UA-156492295-1" />

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 Destiner 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.