How to Use Artificial Intelligence for Effective Customer Segmentation: An Illustrative Example

Editor’s Comment: What degree of insights are possible through Artificial Intelligence (AI)? How to make these inputs actionable from a business perspective? These questions are often lost in the theoretical narrative of AI, so it’s worthwhile to examine a real-life example to reflect upon its power.

 

Let us assume you run a gym and take most business actions based on experience and often only a hunch. Whenever you encounter one of the below questions, your best option may be to guess or seek an external opinion:

 

 

To answer such questions, you will attempt to do some form of segmentation, based on 1 or 2 parameters like demography, region etc.

 

e.g. Millennials are more likely to buy a certain product or service or customers belonging to a region are likely to invest in a certain offering.

 

The human brain can easily segment and visualize customers when there are around 1 or 2 parameters involved. There is no way the human brain can crunch more than 3 parameters simultaneously.

 

AI has the capability to assess hundreds and thousands of parameters together, providing unbelievable results. Availability of abundant data and computation power has made this possible in recent years.

 

These very questions were troubling C&C, a gym operator, which hired a Data Scientist. Fortunately, C&C as storing its customer data in a methodical format as seen below:

How to Use Artificial Intelligence for Effective Customer Segmentation: An Illustrative Example

 

Using Artificial Intelligence for Customer Segmentation

 

Interestingly, using unsupervised AI learning methodology the Data Scientist was able to segment 1,000 C&C customers in the following segments:

How to Use Artificial Intelligence for Effective Customer Segmentation: An Illustrative Example
*Quadragenarian means between ages of 40 to 50

We can hence derive:

 

AI can bring rich and actionable insights such as the above in the domain of customer segmentation. Businesses should realize the importance of in-depth data and the power of Machine Learning to take their progression to the next level and maintain an edge against competitors. In my 10 years of professional experience, this is the single most important point of learning I have derived.

 

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