conjoint-analysis

Simple Conjoint Analyses, Tidying, and Visualization

Work-In-Progress: conjoint analysis in Python

A package for a more general, more straightforward, and more creative conjoint analysis

A companion plugin for Excel for charting Conjointly outputs (easy formatting for preference share and revenue charts from conjoint analysis simulations as well as colouring TURF analysis tables)

This repo contains files for the blog post about conjoint analysis

Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics

This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..

[ICML 2026] strategize: average case and minimax optimal stochastic interventions in conjoint data

Choice-Based Conjoint Analysis, Multinomial Logit Model, Multinomial Logit Model with random coefficients

This repository contains coursework for the Marketing Analytics course in the MS Applied Business Analytics program at Boston University.

Tool: R. Conjoint analysis helps launch new products. This project helps us deeply understand how conjoint analysis gets consumers preference and segmentation, and how to simulate market to maximize profit and sustainability. It turns out that mutual cooperation yields better outcome than mutual defections.

ChoiceSignal — open conjoint (preference) analysis for marketers. Part-worth utilities, attribute importance, and preference-share simulation from simple ratings data. Streamlit, local-first.

Framework for turning reference material (course notes, papers, slides) into interactive quizzes, code labs, and simulations. Includes a working library covering data analysis, statistics, and marketing analytics. No build step.

Simple Conjoint in Python

Conjoint choice based survey platform using React.

portfolio of business & marketing analytics coursework

Conjoint Analysis on consumer preferences on Sunnyvale, California Housing Market

This repository contains a collection of marketing calculators implemented in Python. These tools are designed to assist marketers, business analysts, and students in performing essential calculations related to customer lifetime value, economic value to the customer, linear interpolation, and relative importance of attributes.

This repo contains old academic project codes

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