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.
21 Nov 01, 2022
1.1k Jan 09, 2023
191 Dec 21, 2022
2 Jan 02, 2022
8 Dec 17, 2022
75 Dec 19, 2022
76 Nov 25, 2022
14.9k Jan 07, 2023
27 Jan 07, 2023
3 Jan 23, 2022
100 Dec 15, 2022
1 Nov 08, 2021
1.7k Dec 24, 2022
3.5k Dec 30, 2022
880 Dec 15, 2022
70 Jan 03, 2023
73 Nov 06, 2022
29.7k Jan 02, 2023
3k Jan 05, 2023
6 Jan 28, 2022