[GA4] How to Create Monthly/Daily Reports | Explore

This article will show you how to create monthly and daily reports using GA4's explore in an easy-to-understand manner. By reading this article, in addition to how to create monthly and daily reports, you will also learn in detail the points to keep in mind when creating reports.

In the latter part of the article, we also introduce the free GA4 monthly and daily report templates, which are very popular among the more than 2,000 companies. As shown in the capture below, you can immediately use the very easy-to-understand monthly and daily reports completely free of charge.

How to create monthly and daily reports using explore

explore can be created by following these steps

• Select the type of report
• Select the items you want to use for the report
• Configure the report items

Now let's create the report in the capture below.

Select the type of report

First, select "Blank" from the types of explore, which is suitable for time series reports.

Select the items you want to use for the report

Select Dimensions

After selecting "Blank," first select the "Dimensions" to be used in the report.

Step1

On the "Variables" tab, select the "+" to the right of "Dimensions.

Step2

Type "date" in the search window at the top of the page, check the box for the date that appears in the list, and then select "Import" in the upper right corner. Then follow the same procedure to import the two dimensions below.

• Month
• Year

Step3

When the selected "date," "month," and "year" appear as shown in the capture below, you are done.

Select Metrics

Once you have finished adding "dimensions," select the next "metrics" to be used in the report.

Step1

On the "Variables" tab, select the "+" to the right of "metrics."

Step2

Enter "New users" in the search window at the top of the page, check the box for "New users" that appears in the list, and then select "Import" in the upper right corner. Then follow the same procedure to import all the following indicators.

• Active users
• New users
• Sessions
• Views
• Engagement rate
• Average engagement time per session
• Session conversion rate
• Conversions

Step3

When all selected metrics are displayed as shown in the capture below, you are done.

Configure the report items

Once you have added the items you want to use in the report, you can actually create the report. If you set up the following, you will end up with a monthly report and a daily report, as shown in the capture below.

Monthly Report Setup

• Rows: Year, Month
• Columns: none
• Values: Active users, New users, Sessions, Views, Engagement rate, Average engagement time per session, Session conversion rate, Conversions.

Daily Report Setup

• Rows: Date
• Columns: none
• Values: Active users, New users, Sessions, Views, Engagement rate, Average engagement time per session, Session conversion rate, Conversions.

The created reports can be shared with relevant parties.

Notes on monthly and daily reports using explore

While the "Explore" can be used for segments, it should be used with caution because of the following limitations

• Historical data can only go back 14 months
• With Sampling （What is sampling?）
• Can only be shared on a "read" basis and can only be viewed by users with permissions on the target GA4 property

（Related Articles）
[GA4] How to Use Reports & Explore | How to Use Reports for Different Purposes

 

Looker Studio for GA4 Monthly/Daily Report

As we have explained, "exploratory reports" are affected by the data retention period and can only go back up to 14 months in the past, so for reporting reports and KPI monitoring that require long-term data, we recommend Looker Studio, which allows unlimited historical data.

Free GA4 Report Template

We also recommend this article

What is sampling?

GA4 sampling occurs when a large amount of data is used in an exploratory report and the number of events required to aggregate the report exceeds a certain upper limit. When this limit is exceeded, a representative sample is taken and a report is generated based on that sample data.

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