We will study a very powerful approach for customer segmentation that is based on customer’s lifecycle, specifically on frequency and recency of purchases

We will cover how to find patterns of events. We will find events that occur systematically together and in the same order, relationships with customers’ characteristics and association rules between event subsequences

This is the second part of the in-depth sequence analysis and we will use clusterization for simplifying a large number of distinct sequences in a few types of trajectories

Although the sankey diagram from the previous post provided us with a very descriptive tool, we can consider it a rather exploratory analisys.

We will study how to apply a Sankey diagram visualization when doing a sequential analysis of shopping carts that can bring you a helpful knowledge of patterns of customer’s behavior

We will review a very interesting type of visualization – the Multi-layer Pie Chart – and use it for one of the marketing analytics tasks – the shopping carts analysis

This post was updated on 12/05/2015.

When conducting Cohort Analysis, one of the most important measures is Customer Retention Rate. I will share a few ideas for visualizing this parameter in this post