'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.

Prior Elapsed Time Reporting Points

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:

Segmentation: How do I explore a Segmentation change over time using Elapsed Time Points?

Sub-day Elapsed Time Segmentation