E-Commerce A/B Testing

E-Commerce 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, Matplotlib, Scipy, Statsmodels)

Metadata of Variables

ab_data.csv

Variable Name

Metadata

6-digit numbers

string

string: control, treatment

string: old_page, new_page

numeric: 0:No, 1:Yes

countries.csv

Variable Name

Metadata

6-digit numbers

string: US, CA, UK

Featured Notebook

ECommerce A/B Testing

View Source

GitHub - dpghazi/ecommerce-ab-testing: 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.

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.

GitHub - dpghazi/ecommerce-ab-testing: 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.

https://github.com/dpghazi/ecommerce-ab-testing

GitHub - dpghazi/ecommerce-ab-testing: 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.