Campaign Conversion Analysis
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Updated
Jul 31, 2025 - Jupyter Notebook
Campaign Conversion Analysis
SQL + Tableau A/B testing project analyzing landing page performance and conversion lift
Análisis completo de un experimento A/B real de Vanguard para evaluar el impacto de un rediseño digital sobre la experiencia del usuario y la tasa de conversión. Incluye limpieza de datos, visualización, tests estadísticos y presentación final.
E-commerce Analysis With MySQL Workbench And Tableau
Laptop Cost Evaluator A fast, user-friendly web tool that predicts the market price of a laptop based on key specs like brand, processor, RAM, and storage. Just enter the details on a sleek, single-page form, and get an instant price estimate thanks to a smart backend powered by machine learning.
Ayuda E-commerce (by Ale Lazcano)
A data-driven A/B testing project comparing website performance under Light and Dark themes. Analyzes user engagement metrics using statistical tests, correlation analysis, and predictive modeling to identify behavioral patterns and theme effectiveness. Built in Python using Jupyter Notebook with pandas, seaborn, and scikit-learn.
UCI bank marketing data analysis with decision trees (CART).
Nantu | Free Open-Source A/B Testing Tool Powering over 6,000 successful A/B tests across hundreds of clients. Enterprise-level testing capabilities without the enterprise cost.
Super Simplr conversion rates API. 95 Top cryptocurrency USD conversion rates.
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
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