IDEAS: Customer Segmentation Retetion/Churn Value of your customer database Projection Customer, loyality, retention and value Movements Segments Dynamics PAST- Retention, Churn PRESENT- Segments, Value FUTURE -Projection of segmetns and value WHY IS THIS IMPORTANT? Because it would help you unlock the direction of your customer database and improve your retention strategy. Replicabel with your transactional dataset

Understanding our Customer Database is essential to understand our business. Not only which are the loyal clients, the new ones, the ones that are more likely to churn or the high value ones, but also understanding the dynamics between this groups and what is the trend moving forward.

We can learn about what makes a customer stay or leave and define out strategy by simply analyzing historical transactional data.

For this example I will use a dataset provide by the UCI, which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.
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Analytics and Inspirational Ideas

Data Visualization, Analytics and Science

Bilbao-London