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.
4 Jan 30, 2022
5 Dec 31, 2021
100 Dec 15, 2022
2 Jan 05, 2022
0 Oct 17, 2021
325 Dec 30, 2022
2 Aug 19, 2022
2 Aug 20, 2022
111 Dec 27, 2022
6 Dec 19, 2022
2 Nov 09, 2021
3 Sep 25, 2022
34 Dec 27, 2022
17 Nov 15, 2022
9 May 08, 2022
238 Nov 14, 2022
1 Nov 22, 2021
3 Mar 04, 2022