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Matt Dancho (Business Science)
@mdancho84
80% of data scientists struggle with finding customer segments.

This is how I do Customer Segmentation with Python and AI. ๐Ÿงต
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Matt Dancho (Business Science)
@mdancho84
The challenge is 2-fold.

1. Identifying segments
2. Understanding those segments
3. Marketing decisions for the segments

This is where ML and AI come in.
Matt Dancho (Business Science)
@mdancho84
1. Machine Learning Segmentation

Machine learning is great at step 1, identifying segments.

I use Scikit Learn Clustering Algorithms for smaller datasets.

Larger data sets I use H2O K-means.
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Matt Dancho (Business Science)
@mdancho84
2. AI for understanding segments

ML produces numeric labels. But these have no meaning.

The challenge is understanding what the segments mean.

This is where AI can help.
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Matt Dancho (Business Science)
@mdancho84
3. Building an AI Customer Segmentation Agent

To provide marketing decisions, I created a customer segmentation agent.

This helps with:

1. Labeling the segments with easy-to-understand categories ("Frequent buyers, interested in learning Python)
2. Making decisions on how to market to them.
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Matt Dancho (Business Science)
@mdancho84
4. Problem: Companies need Custom AI Agents that do Customer Segmentation

SOLUTION: On Wednesday, May 21st, I'm sharing how to build one of my best AI Projects: AI Customer Segmentation Agent with Python

Register here (limit 500 seats): learn.business-science.io/ai-register
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