Adding notification permission data to the Chrome User Experience Report
Chrome 80 introduced quieter permission UI for notifications. To help site owners understand notification permission metrics, we’re adding this data to the Chrome User Experience Report (CrUX) in the 202001 dataset, released on February 11, 2020. This will allow site owners gain a better understanding of typical user notification permission responses for their sites and comparable sites in their category.
CrUX only provides a high level summary of notification permission request Accept, Block, Ignore, and Dismiss rates. We recommend you augment this data with detailed analytics from your preferred analytics platform.
About CrUX notification permission data
The CrUX data format and methodology is described in detail in the developer documentation, and you should review considerations on population and analysis best practices. Because reported data is only from opt-in users, there may be variance between data in the CrUX dataset and data you collect from your own analytics.
When a notification permission is requested, Chrome will show users a prompt. Users can actively or passively take one of four actions, described in the table below.
|Allow||The user explicitly allows the website to show them notifications.|
|Block||The user has explicitly disallowed the website from showing them notifications.|
|Dismiss||The user closes the permission prompt without any explicit response. Tab close counts as a dismiss. On mobile, tab switch also counts as a dismiss action, and the quiet UI has an explicit user dismiss option.|
|Ignore||The user does not interact with the prompt at all. Navigation events also count as an ignore, such as the back button or navigation using the omnibox.|
The CrUX dataset includes data for each of these user actions as a percentage of responses.
How to interpret your data
Block and Accept rates are the two most important metrics. As described in the quieter notification permissions blog post, Chrome will automatically enroll sites with very low Accept rates into the quieter UI. Block rate is also a strong signal. When a user clicks Block, the user has sent a clear message that they are not interested in receiving the site’s notification, not just at that moment, but at any time. Most often this means that the user does not understand the intended use of the notification, the value of the product and service, or has not established trust with your website. Both low Accept or high Block rates are a clear indicator that the website should review the recommended patterns section in this article.
It is normal and expected that different types of sites will have different Accept and Block rates. For example, a chat app or email app has a very strong use case and we could expect Accept rates to be quite high.
It’s also normal that rates for the same site may vary significantly between desktop and mobile, as the use cases can be different and users may have a strong preference for notification on one type of device over the other. The large variance between mobile and desktop is the reason that automatic site enrollment in quiet notification permission UI is separated by device type. Some sites may be enrolled in quiet UI only on mobile or only on desktop.
As more users enroll in quieter notifications UI we expect that Ignore rates will increase over time relative to other metrics. You should view this trend as normal and expected.
Let your users take the initiative and turn on notifications at their own pace. Introduce toggles or buttons discretely as part of preexisting UI surfaces so that they are shown at steps of the user’s workflow where there is good reason to believe that they might want to opt in to receiving timely updates.
Avoid showing prompts and/or overlays without context or immediately after a user lands on the site. Prompts interrupt the user’s browsing experience without providing context as to why notifications are needed or useful to them.
Querying the dataset
Beginning with the 202001 CrUX dataset, you can access notification permission data by querying the
SUM(experimental.permission.notifications.accept) AS accept,
SUM(experimental.permission.notifications.deny) AS deny,
SUM(experimental.permission.notifications.ignore) AS `ignore`,
SUM(experimental.permission.notifications.dismiss) AS dismiss
origin = 'https://news.google.com'
Because "ignore" is a reserved keyword in BigQuery, we have to enclose it in backticks so it's interpreted as a field name.
In this example, we're querying the notification permission data for Google News. We use the
SUM function to add up the permission rates for each dimension (form factor and effective connection type) so we get an origin-wide view.
The results show that 82.3% of users accept the notification permission prompt, while 4.8% deny, 5.0% ignore, and 7.9% dismiss it.