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00:00:00 – 00:05:14
The video focuses on conducting cohort analysis in Tableau to understand customer behaviors like churn and retention. The presenter demonstrates creating calculated fields to identify when customers made their first purchase and calculating retention rates. Visualizations show the number of customers making purchases each quarter and their retention rates over time. The speaker emphasizes different methods to analyze retention rates, including comparing quarters, assessing rates over time, and forecasting future quarters. The goal is to help viewers grasp cohort analysis and effectively examine retention rates in Tableau. Viewers are encouraged to engage by asking questions and liking the video.
00:00:00
In this part of the video, the presenter explains how to conduct cohort analysis in Tableau, a method used to group users based on common characteristics to understand behaviors such as customer churn or retention. The demonstration includes creating calculated fields for identifying the quarter customers made their first purchase and calculating the retention rate. This analysis is visualized to show the number of customers making purchases in each quarter and their retention rates over time.
00:03:00
In this segment of the video, the speaker demonstrates how to analyze customer retention using Tableau. They first show how to visualize customer retention by comparing the first quarter of purchases to subsequent quarters. They then introduce a new approach by looking at the number of elapsed quarters to assess retention rates over time. The speaker customizes the visualization by excluding the zeroth quarter and adjusting colors for better clarity. Finally, they explain another method to analyze retention rates by quarters into the future. The purpose is to help viewers understand cohort analysis and how to examine retention rates effectively in Tableau. Viewers are encouraged to ask questions in the comments and like the video for visibility.