Django-google-optimize
Django-google-optimize is a Django application designed to make running Google Optimize A/B tests easy.
Here is a tutorial on the Google Optimize basics and how to use this Django application.
Installation
Install django-google-optimize with pip:
pip install django-google-optimize
Add the application to installed Django applications:
# settings.py
INSTALLED_APPS = [
...
"django_google_optimize",
...
]
Add the middleware:
MIDDLEWARE = [
...
"django_google_optimize.middleware.google_optimize",
...
]
Getting started
Head over to the Django admin and add a new Google Optimize experiment. Add an experiment variant with the index 1 and the alias "new_design". Set the experiment cookie's active variant index to 1. Now the active variant index for that experiment is 1 which is the experiment variant with the alias "new_design" that you created.
Now you can access the experiment in templates by the experiment alias and the variant alias:
{% if request.google_optimize.redesign == "new_design" %}
{% include "jobs/jobposting_list_new.html" %}
{% else %}
{% include "jobs/jobposting_list_old.html" %}
{% endif %}
Or use it inline:
<nav class="navbar navbar-expand-lg navbar-dark
{% if request.google_optimize.redesign == "new_design" %} navbar-redesign{% endif %}">
Note: The experiment cookie only works in DEBUG mode and is used to avoid interacting with the session to add the _gaexp cookie making it possible to test the experiment variants through the Django admin.
Full documentation can be found here.
Documentation and Support
More documentation can be found in the docs directory or read online. Open a Github issue for support.
8.4k Dec 31, 2022
9 Dec 12, 2022
32 Nov 05, 2022
2 Jan 05, 2022
10 Oct 23, 2022
1 Dec 03, 2021
299 Dec 24, 2022
212 Dec 24, 2022
4 Mar 30, 2022
48 Dec 12, 2022
1.6k Jan 06, 2023
305 Dec 23, 2022
1 Feb 01, 2022
2 Jan 31, 2022
8 Dec 17, 2022
2 Nov 09, 2021
226 Dec 30, 2022
4 Jan 30, 2022
1.6k Dec 29, 2022
1 Dec 30, 2021