I will execute an ab test for your website experiment
Data Analysis Freelancer
About this Gig
All companies nowadays have websites, and everyone strives to increase the Conversion Rates of their website Customer Funnel, so changes are made constantly to attract potential customers to compete with other businesses. A/B Testing is conducted after an experiment of the new change, and comparing the results with the old control design. Using Python, Jupyter Notebook, Python Pandas, Numpy, Statsmodels, and Hypothesis Testing tools to know for sure if the changes are actually going to increase conversion rates or not, and if the change is significant or not. I will provide the final report in slides HTML file format.
Technology:
Jupyter Notebook
Analysis type:
Statistical analysis
Expertise:
AB test
•
Regression testing
Programming language:
Python
•
SQL
Other Data Analytics Services I Offer
FAQ
What is a Conversion Rate?
It is the rate of viewers who visit the website and actually click on the subscribe button or buy the product to those who actually landed on the page.
What is Customer Funnel?
It represents the stages, a potential customer goes through from visiting the website, subscribing, and actually buying the product or the service. It consists of conversion rates that help us know which stage where the website loses customers the most to fix that issue.
What do I mean by experiment?
An experiment with the new design needs to be conducted so we can use the data collected that will be used as a sample to perform the A/B Test and acquire the results.
What is Hypothesis Testing tool?
It is an Inferential Statistics technique that I will be using to perform the A/B Test.
What are Python, Jupyter Notebook, NumPy, Pandas, and Statsmodels?
Python is a programming language used specifically for data analysis. Pandas and Numpy are Python public libraries that make working with data much faster and more efficient. Jupyter Notebook is an online server where I will be writing my python codes.
