Google Analytics 4 is a next-generation approach to “privacy-first” tracking, x-channel measurement, and AI-based predictive data all at once. The new property type includes expanded predictive insights, deeper integration with Google Ads, cross-device measurement capabilities, and more granular data controls.
Google Analytics 4 is focused on showing businesses the entire user journey from the first visit to final conversion. It’s event-driven rather than pageview-driven and is designed to work in a world where third-party cookie-tracking is slowly being phased out and privacy concerns are growing.
With Databox, your most important Google Analytics 4 KPIs will be transformed into meaningful insights and delivered to your dashboards, mobile device, Apple Watch, TV display, or Slack channels. Create an entire lifecycle report in Databox by combining your Google Analytics 4 data with data from other data sources you’re using in one place. This will help you and your team stay on top of your most important metrics that drive your business.
Custom metrics and events are available with the use of Databox Metric Builder.
Help Scout Docs
The Visits metric measures how many times users have viewed your HelpDocs documentation and includes unique and returning visitors.
Help Scout Docs
Articles Viewed per Visit is a metric that measures the average number of HelpDocs articles a user views during a single visit to your website or help center.
Help Scout Docs
Found an Answer % is the percentage of users who found a helpful solution in your knowledge base, indicating the effectiveness of your self-service support.
Help Scout Docs
The Article Views by Name metric tracks the number of times a specific article has been viewed, allowing you to see which articles are most popular and prioritize updates or improvements accordingly.
Help Scout Docs
Failed % metric is the percentage of unsuccessful attempts in a process or operation, indicating the rate of failure or errors encountered.
Help Scout Docs
The Failed Searches Count by Search Term metric tracks the number of times a search term entered by a user resulted in zero search results or an error message. This metric can help identify gaps in content and improve the search experience for users.
Help Scout Docs
The search % metric indicates the percentage of users who use the search feature on a website, app, or HelpDocs knowledge base to find information instead of navigating manually.
Help Scout Docs
The Browse % metric measures the percentage of visitors who viewed more than one page on your website or HelpDocs knowledge base during a single session.
Help Scout Docs
Top Category Views by Name metric shows which HelpDocs category is viewed the most by users.
Help Scout Docs
The Popular Searches Results by Search Term metric provides insights into the most frequently searched terms on your website and the number of results each term generated, helping you understand what content is most sought after by users.
Help Scout Docs
The Top Category Articles by Name metric lists the most viewed articles in each category of your HelpDocs knowledge base, helping you understand which topics are most popular among your users.
Help Scout Docs
The Popular Searches Count by Search Term metric indicates the number of times a specific search term has been used by users on a HelpDocs knowledge base, helping identify popular topics and potential areas for content improvement.
Help Scout dashboard template which will give you insights about article views, failed searches, top categories, top articles and more.
This is expected behavior for metrics that are non-aggregatable. All of the Google Analytics 4 Custom metrics (metrics created with Metric Builder) metrics are non-aggregatable.
When a metric is non-aggregatable, this means that Databox does not SUM up granulated (daily, weekly, etc.) data for the total value (Big Number), since this would be invalid. Instead, Databox makes an additional API request to the API to obtain the Big Number value. This applies to all non-aggregatable metrics in Databox for all integrations, including Google Analytics 4.
List of non-aggregatable metrics (this includes dimensional metrics based on the metrics below) for Google Analytics 4:
– Active Users
– Average Purchase Revenue
– Average Session Duration
– ARPPU
– Bounce Rate
– Ecommerce Purchases
– Engagement Rate
– Engaged Sessions
– Event Count per User
– Events per Session
– Sessions
– Session Conversion Rate
– Sessions per User
– Views per Session
– Transactions per Purchaser
– Total Ad Revenue
– Total Revenue
– Total Users
– User Conversion Rate
– all Custom metrics (created with Metric Builder)
To try out the new Google Analytics, set up your website and/or app on a Google Analytics 4 property. There are three ways to do this. (You’ll need Edit permission on the Google Analytics account.)
If you have a site that is set up on Universal Analytics, you can upgrade it to also use a Google Analytics 4 property. When you click Upgrade to GA4, you create a Google Analytics 4 property that collects data alongside your existing property. Your Universal Analytics property is left unchanged and continues to collect data — you can always access it via the property selector or Admin screen.
Read more: Introducing the next generation of Analytics, Google Analytics 4 – Analytics Help
To apply multiple regular expressions within a single filter in the metric builder, the following expression should be used:
Example: .*\/databox\/.*|\/author\/.*
This expression will match any page path/URL that:
1) contains /databox/ anywhere in the path or URL, or
2) contains /author/ anywhere in the path or URL,
regardless of what comes before or after these segments.
A single filter can contain a maximum of 128 characters. Exceeding this limit will result in an API error. In such cases, it’s recommended to use multiple filters with smaller regular expressions instead of one large expression.
Databox only migrates metric keys (technical metric markers) and not the dimensions, therefore if the metric key is valid but the dimension from Google Analytics 3 does not exist in Google Analytics 4 (same dimension naming is required), Databox is not able to migrate the metric and the given Custom metric will need to be recreated for GA4 or removed entirely. Hence the same naming is a requirement for successful migration.
Data is subject to thresholding as Google does not provide values via the API if they are below a certain number for the segmentation (dimension) that was applied. More information on GA4 data thresholds is available here.
If no daily values are available on graphs in Databox, set up the same report with the same Date Range and granularity in the GA4 User Interface. If the thresholding is the reason data is not displayed, a yellow warning icon will be displayed on the report in GA4, stating that the data was thresholded.
If the Quota Limits for GA4 are hit in Databox, the ‘Limit Reached’ error message will be displayed in Databox or temporary issues will appear with using the GA4 Metric Builder. The error messages as well as any issues with using the Metric Builder will subside when the limits are reset in the following hours.
Google documentation on GA4 Quota Limits – https://developers.google.com/analytics/devguides/reporting/data/v1/quotas
Check the Custom Metric setup, if ‘Cohort’ is selected in the Metric field. Cohorts are not yet supported in Metric Builder for Google Analytics 4.
