The Analytics Performance Overview displays a graph with a summary of the performance of articles for the selected period and frequency, and for any filters that have been selected (refer to Using the Dates and the Filters in Analytics).
In this Article
Using the Analytics Performance Overview
Information Displayed in the Analytics Performance Overview
Exporting the Analytics Performance Overview
Using the Analytics Performance Overview
This graph initially displays a summary of the Article Views. You can change this to display the graph for the other metrics by clicking the relevant heading.
In the Date Selector, you can set the option to Compare to previous period (refer to Date Selector in Using the Dates and the Filters in Analytics). When this is selected, the Performance Overview displays graphs and values for the previous period in orange, as in the following example.
Information Displayed in the Analytics Performance Overview
Article Views | This displays the total number of article views, for the selected date period and filters. |
Unique Visitors |
This displays the total number of unique visitors to the Help Center, for the selected date period and filters. This number will be different to the Unique Visitors on the Search Analytics which displays the number of unique visitors making searches, not the total number of unique visitors. Visitors are tracked by generating a random unique identifier for each visitor. This identifier is stored in the browser cache of the visitor to the Help Center. The unique identifiers are then used to count the Unique Visitors. The unique visits are counted in intervals of 1 hour and the visits are then aggregated (summed) for the dates selected in the Analytics filter. The total number would therefore be slightly higher than the actual number of unique visitors. For example,
The unique identifier is cleared if the visitor clears their cookies or browser cache. |
Reading Time |
The Reading Time provides insights into how visitors engage with your content. This gives the average reading duration, in seconds, for articles cumulatively across your Help Center (for the selected date period and filters). This allows you to gauge the time visitors invest in your articles and can help identify content that may require adjustments, understand readers' engagement levels, and also to estimate bot traffic by observing views with little or no engagement. Note: Collection of the Reading Times started on October 1st 2023 and data before that date will show as 0s.
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Conversion (%) |
In the Help Center, at the bottom of an article, a user can click Submit a request to create a Helpdesk Ticket directly from the article.
The Conversion % in the Performance Overview allows you to track the overall Conversion % score. The Conversion % calculation is based on the actual number of tickets created after an article visit. Help Center Manager tracks the following:
If a visitor reads an article and then creates a new ticket through a different channel (such as through email or WhatsApp) this is included in the Conversion % calculation. However, this is only possible for visitors who logged in or have submitted a contact form at least once, so that Help Center Manager can access their email address (encrypt it and hash it) and use that as an identifier. |
Helpdesk Tickets |
When Help Center Manager is authorized to access the Zendesk tickets (by enabling Read Tickets) Analytics loads information on the new tickets created in Zendesk Helpdesk. Helpdesk Tickets displays the total number of tickets, for the selected period and for this Help Center. This includes ALL tickets, which includes new and existing, solved and unsolved tickets. The time is based on the creation date of each ticket, so you will see a count of all tickets created in the selected time period. The number of Helpdesk Tickets is then used to calculate the Self-Service Score (see below). |
Self-Service Score |
When Help Center Manager is authorized to access the Zendesk tickets (by enabling Read Tickets) Analytics loads information on the new tickets created in your Zendesk Helpdesk. For details, refer to Read Tickets and Self-Service Score. The Self-Service Score is calculated as the ratio of how many people visit the Help Center for each new ticket created in your Helpdesk: the Unique Visitors divided by Helpdesk Tickets.
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Exporting the Analytics Performance Overview
You can click the Export button to export the metrics as a .csv file. This can be especially useful if you are using the Compare to previous period function (refer to Date Selector in Using the Dates and the Filters in Analytics).