'Prior' Elapsed Time Segmentation
Elapsed Time Segmentation supports your customer journey analysis and allows you to examine changes in segment membership leading up to a given point - e.g. the datetime that a person made a significant purchase.
Using the sub-day capabilities, you could, for example, report every 4 hours from -24 hours to 0 hours to look at what happened in the time period leading up to the event in question; perhaps a particular marketing campaign provided the appropriate incentive.
Using FastStats selections to define your segments, this type of 'prior' Elapsed Time analysis can also be useful when examining churn. For example:
What happened in the 48 hours prior to a person choosing to change supplier?
Segments for the preceding time might identify people who have made a complaint...had some kind of bad experience...posted a bad review, etc. As a business you might go on to establish that, of the customers who lapsed, a significant number had some kind of negative experience in the prior days. Having such knowledge allows you to mitigate and develop strategies to retain your customers.
Related topics:
How do I explore a segmentation change over time using elapsed time points?
Sub-day Elapsed Time Segmentation
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