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The tenth tip for using ChatGPT is let's look at Cohort Analysis, a data analysis method that marketers can immediately apply in practice. Cohort analysis is a method of tracking groups of users over time. Cohort refers to 'a group of users with common characteristics or experiences over a specific period of time'. It is a group of users who share common characteristics such as customer acquisition date, product type, or behavior. The most commonly used cohorts are ‘user segments based on date’. You can also define user characteristics through dimensions such as age/gender, region, traffic source, landing page, and product. So, depending on how you define your segments, a user can belong to multiple cohort groups.
Data analysis case with Chat GPT – Cohort analysis in Excel Let’s find out how to do user cohort analysis in Excel. I would like to conduct a cohort analysis of monthly new acquisition users in 2023. Please tell me how to organize the excel sheet based on raw data for Special Data the user. We would like to conduct a cohort analysis of newly acquired users monthly in 2023.Please tell me how to construct an excel sheet based on raw data for the user.If you want to perform a cohort analysis based on monthly new user acquisition data for 2023, how should you structure your Excel sheet? Below is an Excel sheet configuration method to configure new user data in a format suitable for cohort analysis.
1. Column configuration First column: “Subscription Month” column, which represents the user’s subscription month information. Second column: “User ID” column, which represents each user’s unique identifying information. Third column: “New” column, which indicates whether each user is a new user that month 2. Configure subscription month column Columns representing subscription month information must include the year and month of the month. For example, for a user who signed up in January 2023, it is displayed as “2023-01″. 3. Configure the User ID column Each user must be given a unique ID. This prevents the same user from appearing in multiple rows. 4. Configuring the new signup column Users who signed up in that month are indicated as “1”, and users who signed up in the previous month are indicated as “0”. For example, users who signed up in January 2023 are indicated as “1”, and users who signed up before December 2022 are indicated as “0”. 5. Filtering Extract new user data for each month from the data sheet by filtering by the “New sign up” column. This allows us to form cohorts for each month. By configuring the Excel sheet as above, you can perform cohort analysis based on new user data for each month. Through this, you can identify user retention and withdrawal patterns and establish marketing strategies based on this.
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發表於 2024-1-9 12:46:28