Power BI Retail Customer Analysis / Customer Analysis / Cohort Analysis / Customer LTV & Churn Rate Analysis
Originally published: 23/08/2021 09:25
Last version published: 17/11/2021 14:50
Publication number: ELQ-38770-2
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Power BI Retail Customer Analysis / Customer Analysis / Cohort Analysis / Customer LTV & Churn Rate Analysis

This is a Power BI Retail Customer Analysis / Customer Analysis / Cohort Analysis / Customer LTV & Churn Rate Analysis.

Description
Power BI Retail Customer Analysis / Customer Analysis / Cohort Analysis / Customer LTV & Churn Rate Analysis.
This is a little bit advanced analysis.
Cohort Analysis:
Cohort analysis is an analytical technique that categorizes and divides data into groups with common characteristics prior to analysis. This technique is typically used to make it easier for organizations to isolate, analyze, and detect patterns in the lifecycle of a user, to improve user retention, and to better understand user behavior in a particular cohort.

In which you see the following things.
1.Customer Cohort Analysis
2.New Customers
3.Returning Customers
4.Recovered Customers
5.Total Spend of Customers.
6.Average Monthly Spend of Customers.

Process:
In which the data source is an Excel file. First I have uploaded excel data into the Power BI file.
Then I did a little bit of transformation in the power query. Then created DAX measures for all above define KPIs. Then created visuals as shown in the attached images.

Deliverable :
I will provide you Excel dataset file and a power bi file in which all KPIs and visualization are present.

Usage:
You can use this report for learning purposes or entering into a competition or commercial use.
if you want to create any other domain reports then you can also let me know.
God Bless you.
Thanks and Regards
Muhammad Umair Shahid

This Best Practice includes
1 Excel file and on 1 power bi file .

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Further information

You can use this report for learning purposes or entering into a competition or commercial use.


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