Reach your marketing goals
Put your insights from Google Analytics to work with Google Ads to help get your business in front of the right customers across Search, YouTube, and more.
Use the All channels performance report to see how each of your channels is performing across all of your key events.
In this article:Before you begin
- Your Google Analytics 4 property must be collecting data.
- You need to mark at least one event as a key event.
- To see cost data for marketing campaigns, you must do one of the following:
- Link your Google Analytics 4 property to an active, spending Google Ads, Search Ads 360, or Display and Video 360 account
- Import cost data via Data Import
Additionally, we recommend setting your reporting attribution model to Data-driven attribution.
How to use the report
Access the report
- In Google Analytics, click Advertising on the left.
- Go to Planning > All channels.
Select date range and key events
Start by selecting a date range from the date picker drop-down menu at the top right. Then select one or more key events from the drop-down menu at the top left of the report. By default, all key events are selected, and they're aggregated together in the report.
Add a filter (optional)
The report shows data from all users. To see data for a specific set of users, click Add filter at the top left.
Example
If you only want to see data for Chrome users, you'd add an Include filter (the default), select the Browser dimension (under Device), choose Chrome as the dimension value, and click OK.
Select dimension to report on
Both the data visualizations and the data table show your data broken out by the Default channel group dimension. Use the drop-downs at the top of the data table to view data by the Source platform, Source, Medium, or Campaign dimensions.
Customize report
Click Edit comparisons in the top right to change what's displayed in the report. In the Customize report panel, you can edit or add filters.Share, download, or export report
Click Share this report 
Understand the data
Data visualizations
The graph shows how much credit each dimension value receives over the selected date range. For example, the Default channel group dimension is the report's default dimension, and the values include Organic search, Direct, Referral, etc.
The bar chart shows how much total credit each dimension value receives.
Hover over the data visualization elements for more specific information.
Data table
The data table shows your data broken out by the Default channel group dimension. By default, the report is sorted by channels with the highest number of key events. Click the down arrow next to one of the other metrics to sort by that metric, or click the down arrow next to Default channel group to select another dimension.
The top row of the data table provides an overview of how the selected key events performed during the selected date range. It shows the totals for the following metrics:
- Key events: The number of times your users triggered a key event
- Ads cost: The total amount you paid for your ads
- Cost per key event interaction: The total cost divided by the number of selected key events
- Ads clicks: The total number of times users clicked on your advertising campaign
- Ads cost per click: The average cost you paid per click for your advertising campaign.
- Total revenue: The sum of revenue from purchases, subscriptions, and advertising (Purchase revenue plus Subscription revenue plus Ad revenue)
- Return on ad spend: The revenue for selected key events divided by the total cost for your ads
- When you filter the report (either by selecting a subset of key events in the picker or by adding a dimension filter), only the key events and the attributed campaigns meeting your criteria will be shown in the report. When a campaign is included, the cost displayed in the Ads cost column and used in the Cost per key event and Return on ad spend metrics represents the full cost of that campaign and is not further subdivided.
- Google Analytics and Google Ads attribute key events differently, so you may see differences in data when comparing the same date range in each product.