Super easy split testing for your Django projects.
Project description
django-easy-split
=================
Easy split testing for Django!
Stop guessing and start testing! With **django-easy-split**, you'll be able to scientifically prove which aspects of
your site convert better than others. Works great for testing copy, designs, styles, layouts, assets, and even pricing and feature sets.
With just a few simple template tags, you'll be able to generate detailed reports about how visitors respond to various
experimental aspects of your site.
## Features
* Simple installation and usage
* Statistical report generation using chi-squared tests (with optinal support for numypy/scipy)
* Automatic bot exclusion
# Installation and Basic Usage
Getting started with **django-easy-split** is easy!
Just install it, define your content to be tested and your goals,
then sit back, wait for the data to roll in, then finally analyze and view your reports. You can do pretty much
everything right from your templates, there's no need for you to ever create your data models manually.
#### Installation
0. Install django-easy-split
```python
pip install django-easy-split
```
1. Add 'easy_split' to your INSTALLED_APPS setting like this:
```python
INSTALLED_APPS = (
...
'easy_split',
)
```
2. Sync your DB:
```python
python manage.py syncdb
```
3. Add **easy_split** to your URLs:
```python
urlpatterns = patterns('',
url(r'^admin/doc/', include('django.contrib.admindocs.urls')),
url(r'^admin/split/', include('easy_split.admin_urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^split/', include('easy_split.urls')),
```
#### Usage
4. Assign your visitors to experimental groups by wrapping your views with this decorator:
```python
from easy_split.decorators import set_experiment_user
@set_experiment_user
return render_to_response('split_me.html', {}, context_instance=RequestContext(request))
```
5. Include the necessary bot-excluding JavaScript in your base HTML. No jQuery is required!:
```html
{% load easy_split %}
<head>
{% split_js %}
</head>
```
6. Define your test content:
```html
{% split try_or_buy control %}
<a href="/payment/" class="btn btn-large btn-primary">
Buy now!
</a>
{% endsplit %}
{% split try_or_buy test %}
<a href="/payment/" class="btn btn-large btn-primary">
Try it free!
</a>
{% endsplit %}
```
7. Set up your goals. The easiest way to do it is with this simple tag put on your goal page (ex, on the post-payment page). You can also define them programatically in your views.
```html
{% goal try_or_buy %}
```
8. Test it out! Make sure that all of your URLs work and that GoalRecords are being created in your database.
9. Finally, once enough data has been collected over time, run:
```python
python manage.py update_experiment_reports
```
to generate your reports, then browse over to **/admin/split/** to see your reports!
## Origins
This project is a direct descendant of [django-lean](https://github.com/e-loue/django-lean/). For now, it's probably
best that you swim upstream for whatever you are looking for. This package also contains changes mentioned in [Alex
Kehayias's blog post](http://alexkehayias.tumblr.com/post/15951774761/ab-split-testing-django) on the subject.
django-easy-split intends to update and simplify django-lean. This may or may not ever actually come to fruition as a
useful product for the community - it may remain simply a mess of undocumented code only really useful for my own
purposes. Still, I'll be working in public for the most part, so we shall see.
## TODO
* Documentation, Packaging, Examples, Tests
* Email reporting?
* Automated, integrated testing queues.
django-easy-split
=================
Easy split testing for Django!
Stop guessing and start testing! With **django-easy-split**, you'll be able to scientifically prove which aspects of
your site convert better than others. Works great for testing copy, designs, styles, layouts, assets, and even pricing and feature sets.
With just a few simple template tags, you'll be able to generate detailed reports about how visitors respond to various
experimental aspects of your site.
## Features
* Simple installation and usage
* Statistical report generation using chi-squared tests (with optinal support for numypy/scipy)
* Automatic bot exclusion
# Installation and Basic Usage
Getting started with **django-easy-split** is easy!
Just install it, define your content to be tested and your goals,
then sit back, wait for the data to roll in, then finally analyze and view your reports. You can do pretty much
everything right from your templates, there's no need for you to ever create your data models manually.
#### Installation
0. Install django-easy-split
```python
pip install django-easy-split
```
1. Add 'easy_split' to your INSTALLED_APPS setting like this:
```python
INSTALLED_APPS = (
...
'easy_split',
)
```
2. Sync your DB:
```python
python manage.py syncdb
```
3. Add **easy_split** to your URLs:
```python
urlpatterns = patterns('',
url(r'^admin/doc/', include('django.contrib.admindocs.urls')),
url(r'^admin/split/', include('easy_split.admin_urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^split/', include('easy_split.urls')),
```
#### Usage
4. Assign your visitors to experimental groups by wrapping your views with this decorator:
```python
from easy_split.decorators import set_experiment_user
@set_experiment_user
return render_to_response('split_me.html', {}, context_instance=RequestContext(request))
```
5. Include the necessary bot-excluding JavaScript in your base HTML. No jQuery is required!:
```html
{% load easy_split %}
<head>
{% split_js %}
</head>
```
6. Define your test content:
```html
{% split try_or_buy control %}
<a href="/payment/" class="btn btn-large btn-primary">
Buy now!
</a>
{% endsplit %}
{% split try_or_buy test %}
<a href="/payment/" class="btn btn-large btn-primary">
Try it free!
</a>
{% endsplit %}
```
7. Set up your goals. The easiest way to do it is with this simple tag put on your goal page (ex, on the post-payment page). You can also define them programatically in your views.
```html
{% goal try_or_buy %}
```
8. Test it out! Make sure that all of your URLs work and that GoalRecords are being created in your database.
9. Finally, once enough data has been collected over time, run:
```python
python manage.py update_experiment_reports
```
to generate your reports, then browse over to **/admin/split/** to see your reports!
## Origins
This project is a direct descendant of [django-lean](https://github.com/e-loue/django-lean/). For now, it's probably
best that you swim upstream for whatever you are looking for. This package also contains changes mentioned in [Alex
Kehayias's blog post](http://alexkehayias.tumblr.com/post/15951774761/ab-split-testing-django) on the subject.
django-easy-split intends to update and simplify django-lean. This may or may not ever actually come to fruition as a
useful product for the community - it may remain simply a mess of undocumented code only really useful for my own
purposes. Still, I'll be working in public for the most part, so we shall see.
## TODO
* Documentation, Packaging, Examples, Tests
* Email reporting?
* Automated, integrated testing queues.
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