Cinderella Shoes is a global brand specializing in stylish women’s footwear in extended sizes, serving customers across the world.
Client
Cinderella Shoes Ltd. (Co.Kildare, Ireland)
Year
2020-present
Services
Marketing Science
PPC SEO Influencer M.
Google Analytics & GTM
Results
Achieved strong YoY growth through multichannel marketing, setting up the client’s analytics from scratch, including KMeans clustering and regression analysis.
Cinderella Shoes aimed to predict churn among returning customers, identifying which factors were most strongly correlated.
01. Data Cleaning
In this step I collected data such as customer purchase history, behavioral patterns across multiple channels and multiple currencies and cleaned missing values.
02. Random Forest Classifier
After completing the initial EDA process, I trained a Random Forest model to predict the likelihood of a customer returning based on features selected.
03. Action
The Random Forest model identified both high-probability returners and customers at risk of churn, helping us focus retention and reactivation efforts where it matters most.
