Fall 2024 section of EMSE 6035: Marketing Analytics for Design Decisions @ GWU
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Updated
Aug 7, 2024 - HTML
Fall 2024 section of EMSE 6035: Marketing Analytics for Design Decisions @ GWU
This repo contains old academic project codes
Used R to build a Conjoint Analysis from scratch, assessing the importance of different features of a Flat-Panel TV.
An app to help in the calibration of Vulnerability Scores for humanitarian assistance targeting
Explore consumer preferences & valuations for TV products with Conjoint & Bootstrapped Willingness-To-Pay analysis. Compare and analyze own design against competition for an edge! Enhance your product strategy!
This is a full conjoint analysis study ran on 250 survey participants, analysed through Bayesian Hierarchical Model, using RSTAN package
A package for a more general, more straightforward, and more creative conjoint analysis
CX project by analyzing the survey data and driving actionable insights to design the product and recommending further marketing campaign strategies
Conjoint analysis is a data informed approach to understanding what consumers prefer about a product
This repository contains configuration files for performing conjoint analysis on Netflix survey data.
Replication of a Horiuchi, Smith, & Yamamoto (2020) paper on voter preferences in Japan using R for conjoint analysis.
This repository is a coursework I have taken at McCombs School of Business, UT Austin during my master's degree
Choice-Based Conjoint Analysis, Multinomial Logit Model, Multinomial Logit Model with random coefficients
This project is to predict credit card customer default risk using data from April to September 2005 for customers in Taiwan. It involves preprocessing the data, including cleaning and transforming, and employing algorithms like Apriori for association analysis and Random Forest for modeling to predict next month's defaulters.
Boiler template for creating conjoint choice based survey completely for free.
This repo contains files for the blog post about conjoint analysis
In this project we utilize Fine Needle Aspiration data and applied machine learning technique to improve classification of benign and malignant tumor. Thereafter we use Conjoint Analysis for market positioning
This is a repository for the paper "Consider Your Companions Carefully: How Voters Perceive (Coalition) Governments’ Poor Valence Images?"
I help an espresso machine manufacturer assess the product attribute preferences coffee drinkers have while purchasing espresso machines using conjoint analysis in Microsoft Excel
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