Udacity Data Science Nanodegree Capstone

Customer segmentation for Starbucks reward program members to further design marketing strategies accordingly

Unsupervised K-Means clustering of customer behaviors during promotional campaigns.

Starbucks Capstone Challenge: Starbucks customer segmentation

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Using Supervised and Unsupervised learning

A funnel analytics project with Starbucks customer data

This project aims to perform customer segmentation, a crucial process for understanding and engaging with Starbucks' diverse customer base.

Using k-means to perform Starbucks mobile app's customer segmentation and determine which demographic groups respond best to their promotion offer

The primary objective of the project is to obtain the effective outreach for Starbucks’ marketing campaigns by determining the offers that should be targeted to different groups of customers based on the transactions and demographics data provided. In order to achieve this, we would perform customer segmentation to segment customers into groups that respond best to a particular marketing campaign. We would also like to study the likelihood of a customer responding to a purchase offer and to determine the possible level of response or user actions like offer received, offer viewed, transaction, offer completed etc using a multi-class classification model. Through this model, we hope to determine the best offer types for each customer by the likelihood of response. Hence, we want to focus on Customer Development and Retention related issues using these customer analytics techniques.

Customer Segmentation using Starbucks data

Customer Segmentation for Starbucks data

Customer Segmentation of the Starbucks Customer Base based on their response to the promotional campaign adopted by Starbucks .

Customer Segmentation for Starbucks Marketing Campaign

EDA on the Starbucks customer Segmentation

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Improving Customer Retention using Customer Segmentation on Starbucks Dataset

Starbucks Customer Retention Prediction: Customer Segmentation and Predictive Modeling

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Starbucks customer segmentation to maximize profit - kaggle

In this project, I tried to analyze and make a model to predict the customers' event for the offers.

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Segmenting Starbucks customers based on purchasing behavior using clustering techniques in Python

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