LOD #10 - Return Purchase by Cohort -  

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Use Case #10 - Return Purchase by Cohort
This step-by-step, easy-to-follow tutorial shows how to do some common cohort analysis using Level of Detail (LOD) Expressions in Tableau. This use case builds up on past examples with Cohort.
The tutorial starts with the basics - defining cohort analysis and why it's an important concept in behavioral analytics.
The tutorial aims to answer two key business questions:
1. How long did it take for our customers to come back again to purchase?
2. How many customers lapsed (ie never came back)?
This tutorial underscores the practicality and applicability of Tableau in analyzing customer behavior.
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This is part of the Top 15 Level of Detail (LOD) Examples, based on the Tableau Whitepaper written by Bethany Lyons.
Each use case is explained in detail, with additional discussion on how LODs compare against regular calculated fields and table calculations, and things to watch out for. Some examples will use combinations of these types of calculations.
A variety of other topics and tidbits/tips and tricks will also be covered - applications of blue vs green, creating bins, drop field window, and many more
Accompanying Workbook to this Video:
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Whitepaper: Top 15 LOD Expressions (Practical Examples)
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