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For this project, I will be working to understand the results of an A/B test run by an e-commerce website if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

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ecommerce-ab-testing's Introduction

ECommerce A/B Testing

Project Description

A company has developed a new web page in order to increase the number of users who "convert" (the number of users who decide to pay for the company's product). For this project, I performed A/B tests to analyze the changes (conversion rate of the shoppers) through statical conclusions; implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

Overview

Preprocessing
Two-Proportion Z-Test
A/B Testing
Logistic Regression

Language & Tools

Python (Pandas, Numpy, Random, PyPlot, Scipy, Statsmodels API)

Metadata of Variables

ab_data.csv

Variable Name	Metadata
user_id	6-digit numbers
timestamp	string
group	string: control, treatment
landing_page	string: old_page, new_page
converted	numeric: 0:No, 1:Yes

countries.csv

Variable Name	Metadata
user_id	6-digit numbers
country	string: US, CA, UK

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ECommerce A/B Testing

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dpghazi-zz / ecommerce-ab-testing Goto Github PK