Predicting customers who will make a purchase by identifying online shopper behavior.
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Updated
Aug 21, 2024 - Jupyter Notebook
Predicting customers who will make a purchase by identifying online shopper behavior.
Calculate the free-to-paid conversion rate and several other key metrics of students on the 365 platform using MySQL Workbench
Objective The objective of this case study is to analyze a company's sales data to gain insights into the performance of individual salespersons and the sales team as a whole. Based on this analysis, areas for improvement will be identified, and actionable strategies will be suggested to enhance overall performance.
Calculating A/B test of travel application with proportion z-score
Customer lifetime value analysis is used to estimate the total value of customers to the business over the lifetime of their relationship. It helps businesses make data-driven decisions on how to allocate their resources and improve their customer relationships.
Analyzing the sign-up and log-in data from the 365 Data Science website to formulate high-level recommendations aimed at boosting registration numbers and overall revenue growth.
This project includes a performance for an A/B testing method to test whether an added new webpage to an e-commerce website has an impact on increasing the conversion rate for this website or not.
A newsletter conversion predictor
The official implementation of the CIKM2023 paper “Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction"
GloBox is an online marketplace that specializes in sourcing unique and high-quality products worldwide. The Growth team decides to run an A/B test highlighting critical products in the food and drink category as a banner at the top of the website.
This project aims to explore data by using SQL on Google BigQuery, quick visualize data by using Google Sheet, draw significant insights and give recommendations for the business question: How to increase the website conversion rate?
This repository contains a A/B testing for a fictional company Globox where I analyzed the results and provided recommendations to the stakeholders about whether Globox should launch a new experience to all their users.
"Free Shipping Incentive" add-on for CS-Cart is a tool that allows online shop owners to offer free shipping to customers who meet certain criteria. Allows to customize the incentivizing messages that are displayed to customers, enticing them to qualify for free shipping by adding more products. Helps to increase sales and customer loyalty.
This is the repo for sql analysis of Maven-Fuzzy-Factory.
Analysis of A/B test results by an e-commerce company. Application of hypothesis testing to determining whether the company should implement the new web page it developed to increase users' conversion rate.
The Conversion App was created as a simple place to find unit conversions without scouring the internet for a decent solution. As well as providing conversions, this system will explain the equations used for the conversion in a clear and logical manner.
Kinetic parameter estimation of thermogravimetric data.
⚖️. A/B Testing comparing conversion rates between the new and old design web
Basic site that convert you the cryptocurrency rate to euro
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