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.
1 Dec 24, 2021
1 Nov 22, 2021
3 Dec 15, 2022
30 Sep 23, 2022
55 Oct 30, 2022
684 Dec 29, 2022
1 Dec 24, 2021
7.8k Jan 02, 2023
65 Nov 10, 2022
13 Jul 07, 2022
0 Oct 17, 2021
2.1k Jan 01, 2023
14 Sep 28, 2022
5 Mar 13, 2022
546 Dec 22, 2022
4 Dec 11, 2019
1.2k Jan 03, 2023
8 Jan 09, 2023
74 Nov 29, 2022
3.8k Jan 06, 2023