Analytics

Abstract

1. Introduction

OK GROW! analytics uses a combination of the browser History API, Meteor's accounts package and Segment.io's analytics.js to automatically record and send user identity and page view event data from your Meteor app to your analytics platforms.

2. Objective

UNMAINTAINED! - Complete Google Analytics, Mixpanel, KISSmetrics (and more) integration for Meteor

This project demonstrates how 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/okgrow/analytics.git
cd analytics

meteor add okgrow:analytics

{
  "public": {
    "analyticsSettings": {
      // Add your analytics tracking ids here (remove this line before running)
      "Google Analytics" : {"trackingId": "Your tracking ID"},
      "Amplitude"        : {"apiKey": "..."},
      "Chartbeat"        : {"uid": "..."},
      "comScore"         : {"c2": "..."},
      "HubSpot"          : {"portalId": "..."},
      "Intercom"         : {"appId": "..."},
      "Keen IO"          : {"projectId": "...", "writeKey": "..."},
      "KISSmetrics"      : {"apiKey": "..."},
      "Mixpanel"         : {"token":  "...", "people": true},
      "Quantcast"        : {"pCode": "..."},
      "Segment.io"       : {"apiKey": "..."}
    }
  }
}

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 okgrow 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.