Interpretable Customer Segmentation

An Easy-to-follow guide to driving business value with unsupervised ML in Python

Bryce Macher
Analytics Vidhya
Published in
9 min readJun 18, 2020

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Transforming a 3-dimensional synthesis of 40-dimensional data into interpretable customer segments is a breeze with this tutorial.

Targeted marketing requires that we identify cohorts — or segments — of customers, and define what the characteristics are that bring them together. When developing a new brand, for example, you want to know if the new offering is likely to acquire customers from other…

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Bryce Macher
Analytics Vidhya

Data leader for nearly 20y. Driving Applied ML/Science @ NBCU. Motorcycle guy. Ex- WarnerMedia, Discovery, Snowflake, BAH, Hilton, UMD Professor.