Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling
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Updated
Apr 14, 2024
Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling
This repository contains the market cluster analysis performed on the Philippine's demographic data using JMP by SAS.
A web server that switches the functionality of an automated time factored publishing of news and prices to Campaign Treasurer Web App based on a preset updates.
To predict 6 months sales using 4 years time series data of a retail store.
An comprehensive data analysis of a particular market and its customers.
The beverage choice that accompanies most American pastime is divided between 🍺 Beer and 🥤 Soda. A market segmentation is performed to study this division - brands, demographic, profit - with the goal of target marketing.
Exercises from STA 380, a course on predictive modeling in the MS program in Business Analytics at UT-Austin Summer 2019
Bayesian Market Segmentation Algorithm for Hedonic Analysis
- Using data crawler, data virtualization, public opinion detection, etc to make NEPV & Tesla business report
Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets
General Material Compactor: Product Development Course Project
I help an espresso machine manufacturer assess the product attribute preferences coffee drinkers have while purchasing espresso machines using conjoint analysis in Microsoft Excel
A market segmentation project with python
This project was developed during a 3-month internship program at Feynn Labs. The project replicates a McDonald's case study using Python. It involves data analysis, PCA for dimensionality reduction, KMeans clustering, segment profiling, and decision tree classification for marketing segmentation,
In this project, the objective is to segment a portfolio of credit card users according to usage characteristics. Customer segmentation is then used by marketing department to tailor products and services specific to these customer segments.
Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.
The objective of this project is to develop a market segmentation system and the materials that explain it. I will utilize some of the variables from the Simmons National Consumer Study for this analysis.
a sentiment analysis of outdoor brands' Facebook page comments
Train unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers since it enables them to launch targeted ad marketing campaigns that are tailored to customer's specific needs.
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