PHP Email Open Tracking

Track how your email campaign subscribers open and click through your emails.

Digital Marketing & SEOPHPMIT

Abstract

PHP Email Open Tracking is an open-source Digital Marketing & SEO project. Track how your email campaign subscribers open and click through your emails. Email Open Tracking in PHP This code shows how to use HTML emails and PHP/MySQL to track email opens and clickthroughs. It is built using PHP. 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

Email Open Tracking in PHP This code shows how to use HTML emails and PHP/MySQL to track email opens and clickthroughs

It is intended as a complement to my tutorial: http://tonygaitatzis.tumblr.com/post/65647388814/big-data-email-open-tracking-in-php

Set up your settings file to reflect your MySQL server settings.

2. Objective

Track how your email campaign subscribers open and click through your emails.

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

4. Technology Stack

PHP

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • PHP 7.4+ with a web server (XAMPP / WAMP / LAMP)
  • MySQL / MariaDB
  • phpMyAdmin (optional)
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/backupbrain/php-email-open-tracking.git
cd php-email-open-tracking

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 backupbrain 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

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