Algorithmic customer segmentation

Get a detailed overview of the most granular clusters within your customer base
Customer segmentation is an often linearly performed effort: a single parameter such as frequency, price sensitivity or family composition defines the broad distinction between all of the customers. The strength of a well-constructed customer segmentation is however, that all the items than can explain the slightest difference in customer behavior are taken into account. That is where the data magic comes in.
How do we make it happen?

Unsupervised clustering techniques enable us to detect the most granular distinctions between customer groups. Such algorithmic method is in need of a bag of features that are decisive for a difference in customer behavior. For this reason, we make sure the set is put together in close collaboration with the management. After the algorithm has worked its magic, the last task consists of giving the right explanation to each of the generated clusters.

Interested in knowing which types of customers are hidden within your customer base?


Our services
  • Data
  • Algorithmic customer segmentation
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The Reference is nothing without its customers. Melexis is the stock market-listed global player in the semi-conductor and sensors industry for whom we facilitated future company growth by updating the brand, building the completely new corporate website and giving shape to the use of online channels. Read more about this client.