Cinderella
Shoes
D2C, eComm, Ireland (2020-Present)

Cinderella Shoes is the global destination for beautiful women’s shoes in plus sizes, serving customers worldwide.

Client

Cinderella Shoes Ltd. (Co.Kildare, Ireland)

Year

2020-present

Services

Marketing Science
PPC SEO Influencer M.
Google Analytics & GTM

Results

Achieved positive YoY results through multichannel marketing by setting up the client’s analytics from scratch, including cluster analysis and multiple linear regression.

Cinderella Shoes aimed to better understand their audience.  I recommended a cluster analysis to more effectively run remarketing campaigns.

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. Clustering Analysis

After completing the initial EDA process, I created a linear regression, and selected the business attributes for clustering. I then used the PCA method then validated the number of clusters using the Elbow method.

03. Action

The KMeans algorithm identified 3 new customer clusters, unlocking high-potential audiences for remarketing and email marketing,  including high spenders.

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