Installation and configuration¶
Integration of your analytics service is very simple. There are four steps: installing the package, adding it to the list of installed Django applications, adding the template tags to your base template, and configuring the services you use in the project settings.
- Installing the Python package
- Installing the Django application
- Adding the template tags to the base template
- Enabling the services
Installing the Python package¶
To install django-analytical the analytical
package must be added to
the Python path. You can install it directly from PyPI using
easy_install
:
$ easy_install django-analytical
You can also install directly from source. Download either the latest stable version from PyPI or any release from GitHub, or use Git to get the development code:
$ git clone https://github.com/jazzband/django-analytical.git
Then install the package by running the setup script:
$ cd django-analytical
$ python setup.py install
Installing the Django application¶
After you installed django-analytical, add the analytical
Django
application to the list of installed applications in the settings.py
file of your project:
INSTALLED_APPS = [
...
'analytical',
...
]
Adding the template tags to the base template¶
Because every analytics service uses own specific Javascript code that should be added to the top or bottom of either the head or body of the HTML page, django-analytical provides four general-purpose template tags that will render the code needed for the services you are using. Your base template should look like this:
{% load analytical %}
<!DOCTYPE ... >
<html>
<head>
{% analytical_head_top %}
...
{% analytical_head_bottom %}
</head>
<body>
{% analytical_body_top %}
...
{% analytical_body_bottom %}
</body>
</html>
Instead of using the generic tags, you can also just use tags specific for the analytics service(s) you are using. See Services for documentation on using individual services.
Enabling the services¶
Without configuration, the template tags all render the empty string.
Services are configured in the project settings.py
file. The
settings required to enable each service are listed here:
-
CHARTBEAT_USER_ID = '12345'
-
CLICKMAP_TRACKER_CODE = '12345678....912'
-
CLICKY_SITE_ID = '12345678'
-
CRAZY_EGG_ACCOUNT_NUMBER = '12345678'
-
FACEBOOK_PIXEL_ID = '1234567890'
-
GAUGES_SITE_ID = '0123456789abcdef0123456789abcdef'
-
GOOGLE_ANALYTICS_PROPERTY_ID = 'UA-1234567-8'
-
GOOGLE_ANALYTICS_GTAG_PROPERTY_ID = 'UA-1234567-8'
Google Analytics (analytics.js):
GOOGLE_ANALYTICS_JS_PROPERTY_ID = 'UA-12345678-9'
-
HUBSPOT_PORTAL_ID = '1234' HUBSPOT_DOMAIN = 'somedomain.web101.hubspot.com'
-
INTERCOM_APP_ID = '0123456789abcdef0123456789abcdef01234567'
-
KISS_INSIGHTS_ACCOUNT_NUMBER = '12345' KISS_INSIGHTS_SITE_CODE = 'abc'
-
KISS_METRICS_API_KEY = '0123456789abcdef0123456789abcdef01234567'
-
LUCKYORANGE_SITE_ID = '123456'
-
MATOMO_DOMAIN_PATH = 'your.matomo.server/optional/path' MATOMO_SITE_ID = '123'
-
MIXPANEL_API_TOKEN = '0123456789abcdef0123456789abcdef'
-
OLARK_SITE_ID = '1234-567-89-0123'
-
OPTIMIZELY_ACCOUNT_NUMBER = '1234567'
-
PERFORMABLE_API_KEY = '123abc'
-
RATING_MAILRU_COUNTER_ID = '1234567'
-
SNAPENGAGE_WIDGET_ID = 'XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX'
-
WOOPRA_DOMAIN = 'abcde.com'
-
YANDEX_METRICA_COUNTER_ID = '12345678'
The django-analytical application is now set-up to track visitors. For information about identifying users, further configuration and customization, see Features and customization.