Recommender Systems for Retail: Customer Clustering and Personalization

In part two of a three part series, we'll go over the data science behind segmenting your potential customers into groups, or segments, based on different characteristics.


August 24, 2022

11:00 am PDT




Wesley (Wes) Cobb, Senior Data Scientist

Wesley Cobb

Principal Data Scientist

Arin Toaca - Data Scientist

Arin Toaca

Data Scientist

Miss the event? Watch the recording:

Product Recommender Systems

Part 2: Customer Clustering & Personalization

Back in the good old days when you started a business, you would set up shop, put an ad in the newspaper, possibly a billboard, or just wait for people to walk by and come inside. It was simpler, less to think about, and more straightforward. However, you were limited to the people who would walk by your store or drive past your billboard.

Now, with online advertising, you not only have access to 4.66 billion potential customers sitting at their computers waiting to find your product, you also have access to customer data that tells you exactly what they want and when they want it, and the ability get it right in front of them.

In our last webinar we discussed recommender systems. In this webinar we are taking it a step further and discussing clustering within the context of recommender systems.