MIXpanel Bayesian AB test Analysis tool (MixBABA)

This tool is intended to consume a JSON file containing details about a Mixpanel funnel and output the results of the analysis made whithin a Bayesian framework.

You can find details about the data processing here.

Installation

From PyPi

Just easy as:

pip install mixbaba

From sources

To install this package you have to clone the repository:

git clone https://github.com/NaturalCycles/MixBABA.git

You can run the unit tests, to ensure the tool will work:

cd MixBABA 
python setup.py test

And then you can install the tool via PIP:

pip install .

Usage

You can find the full documentation here, but if you want a short guide read the following.

To use MixBABA you have need:

• a JSON file containing a list of the funnels together with the details about them (an example is in this repository)
• the "API secret" to connect to Mixpanel; You can find your one in the settings dialog of the Mixpanel web application.

Then you can launch the analysis via command line:

mixbaba -f [funnel_file.json] -k [API secret]

The tool will extract the data relative to the funnel from Mixpanel, and the output will be put in the same directory as CSV files, as many as the funnels specified in the JSON file given in input.

By default no output will be sent to the console. If you want a CSV file as output you can ask it with

mixbaba -f [funnel_file.json] -k [API secret] -o csv

Example result

This is the standard output format for the analysis of a funnel

Group	Control Impressions	Control Conversions	test Impressions	test Conversions	test CR improvement	test Probability
All.All	34164	253	31105	284	0.232387	0.992551
goal.PREVENT	6175	25	6016	37	0.500153	0.947624
goal.PLAN	1561	5	1411	5	0.106157	0.568093
$country_code.US	16631	224	15438	242	0.163448	0.95048
$country_code.SE	8024	23	7275	35	0.654391	0.974175

Or, if you specify the option -of long at the command launch:

Discriminant	Cohort	Comment	Control Impressions	Control Conversions	test Impressions	test Conversions	test CR improvement	test Probability
None	All	Result for test is OK!	34164	253	31105	284	0.232387	0.992551
user.goal	PREVENT	Result for test is uncertain.	6175	25	6016	37	0.500153	0.947624
user.goal	PLAN	Result for test is uncertain.	1561	5	1411	5	0.106157	0.568093
user.$country_code	US	Result for test is OK!	16631	224	15438	242	0.163448	0.95048
user.$country_code	SE	Result for test is OK!	8024	23	7275	35	0.654391	0.974175