# django-analytical

The django-analytical application integrates analytics services into a Django project.

Package

  https://pypi.python.org/pypi/django-analytical/

Source

  https://github.com/jazzband/django-analytical

## Overview

Using an analytics service with a Django project means adding Javascript tracking code to the project templates. Of course, every service has its own specific installation instructions. Furthermore, you need to include your unique identifiers, which then end up in the templates. Not very nice.

This application hides the details of the different analytics services behind a generic interface, and keeps personal information and configuration out of the templates. Its goal is to make the basic set-up very simple, while allowing advanced users to customize tracking. Each service is set up as recommended by the services themselves, using an asynchronous version of the Javascript code if possible.

To get a feel of how django-analytical works, check out the Tutorial.

## Contents

- Tutorial
  - Setting up basic tracking
  - Identifying authenticated users
  - Adding custom tracking data
- Installation and configuration
  - Installing the Python package
  - Installing the Django application
  - Adding the template tags to the base template
  - Enabling the services
- Features and customization
  - Internal IP addresses
  - Identifying authenticated users
- Services
  - Chartbeat – traffic analysis
  - Clickmap – visual click tracking
  - Clicky – traffic analysis
  - Crazy Egg – visual click tracking
  - Facebook Pixel – advertising analytics
  - Gaug.es – Real-time tracking
  - Google Analytics (legacy) – traffic analysis
  - Google Analytics (gtag.js) – traffic analysis
  - Google Analytics (analytics.js) – traffic analysis
  - GoSquared – traffic monitoring
  - Hotjar – analytics and user feedback
  - HubSpot – inbound marketing
  - Intercom.io – Real-time tracking
  - KISSinsights – feedback surveys
  - KISSmetrics – funnel analysis
  - Lucky Orange – All-in-one conversion optimization
  - Matomo (formerly Piwik) – open source web analytics
  - Mixpanel – event tracking
  - Olark – visitor chat
  - Optimizely – A/B testing
  - Performable – web analytics and landing pages
  - Piwik (deprecated) – open source web analytics
  - Rating@Mail.ru – traffic analysis
  - SnapEngage – live chat
  - Spring Metrics – conversion tracking
  - UserVoice – user feedback and helpdesk
  - Woopra – website analytics
  - Yandex.Metrica – traffic analysis
- Settings
- History and credits
  - Changelog
  - Credits
  - Helping out
- License
  - License terms