Rack Tracker

Abstract

1. Introduction

Since version 2.0.0 rack-tracker respects that request header by default. That means NO tracker is injected IF the DNT header is set to "1".

Most of the applications we're working on are using some sort of tracking/analytics service, Google Analytics comes first but its likely that more are added as the project grows. Normally you'd go ahead and add some partials to your application that will render out the needed tracking codes. As time passes by you'll find yourself with lots of tracking snippets, that will clutter your codebase :) When just looking at Analytics there are solutions like rack-google-analytics but they just soley tackle the existence of one service.

The Do Not Track (DNT) HTTP header is a HTTP header that requests the server to disable its tracking of the individual user. This is an opt-out option supported by most browsers. This option is disabled by default and has to be explicitly enabled to indicate the user's request to opt-out. We believe evey application should respect the user's choice to opt-out and respect this HTTP header.

2. Objective

Tracking made easy: Don’t fool around with adding tracking and analytics partials to your app and concentrate on the things that matter.

This project demonstrates how Ruby 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.

• Ruby and Bundler
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/railslove/rack-tracker.git
cd rack-tracker

config.middleware.use(Rack::Tracker) do
  handler :google_analytics, { tracker: 'U-XXXXX-Y' }
end

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 railslove 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.