Track all of your key business metrics from one screen
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Adobe Analytics is a robust web analytics platform that helps businesses measure and analyze customer interactions across multiple channels. It provides insights into user behavior, conversion tracking, and audience segmentation, enabling businesses to optimize marketing strategies, enhance user experience, and drive data-informed decision-making.
Adobe Analytics (formerly known as Omniture SiteCatalyst) is a comprehensive digital analytics system that works across multiple platforms and is considered by some as the best online analytics solution.
With Databox, your most important Adobe Analytics KPIs will be transformed into meaningful insights and delivered to your mobile, Apple Watch, TV display or Slack channels. One of the key benefits of Databox is the ability to combine multiple data sources in one place. This will help your team stay on top of all the important metrics that drive your business.
Custom reports available with the use of Databox Metric Builder.
The Visits metric measures how many times users have viewed your HelpDocs documentation and includes unique and returning visitors.
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.
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.
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.
Failed % metric is the percentage of unsuccessful attempts in a process or operation, indicating the rate of failure or errors encountered.
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.
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.
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.
Top Category Views by Name metric shows which HelpDocs category is viewed the most by users.
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.
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.
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.
Databox provides the possibility to copy Databoards – for example, you can copy a Databoard from the Agency to a Client account, where the two accounts have different Adobe Analytics Data Sources connected.
If such a Databoard contains a Custom metric from Adobe Analytics, Databox intentionally removes Segments from shared custom queries, where Report Suites don’t match between the two Adobe Analytics Data Sources (original and new). An Adobe Analytics Data Source is always tied to a specific Report Suite, chosen by the user upon connecting the Adobe Analytics Data Source. If Databox would not remove Segments when copying custom queries to other Databox accounts, these custom queries would return an error if the segment would not exist in the other Report Suite.
Currently, Metric Builder for Adobe Analytics Data Source does not offer the option to apply filters to queries for non-dimensional metrics.
A potential workaround solution is to use Segments, which need to be created in Adobe Analytics.