Cohort analysis: Retention Rate Visualization with R

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. Last year I shared several charts for Customer Retention Rate visualization in this post. However, it is always helpful to analyze and visualize both relative (Customer Retention Rate) and […]

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Cohort Analysis with Heatmap

Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the “layer-cake” chart (part I and part II). In this post, I want to share another interesting visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts. […]

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Cohort Analysis and LifeCycle Grids mixed segmentation with R

This is the third post about LifeCycle Grids. You can find the first post about the sense of LifeCycle Grids and A-Z process for creating and visualizing with R programming language here. Lastly, here is the second post about adding monetary metrics (customer lifetime value – CLV – and customer acquisition cost – CAC) to […]

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Cohort analysis with R – Retention charts

When we spend more money for attracting new customers then they bring us by the first but, usually, by the next purchases, we appeal to customer’s life-time value (CLV). We expect that customers will spend with us for years and it means we expect to earn some profit finally. In this case, retention is vital parameter. Most of our […]

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Cohort analysis with R – “layer-cake graph” (part 2)

Continue to exploit a great idea of ‘layer-cake’ graph. If you liked the approach I shared in the previous topic, perhaps, you would have one or two questions we should answer additionally. Recall “Total revenue by Cohort” chart: As total revenue depends on the number of customers we attracted and on the amount of money each of them spent with us, there […]

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Cohort analysis with R – “layer-cake graph”

Cohort Analysis is one of the most powerful and demanded techniques available to marketers for assessing long-term trends in customer retention and calculating life-time value. If you studied custora’s university, you could be interested in amazing “layer-cake graph” they propose for Cohort Analysis. Custora says: “The distinctive “layer-cake graph” produced by looking at cohorts in calendar time can […]

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