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Help Center StatisticsUpdated 3 months ago

This report enables you to optimize content, explore popular queries and search trends, amplify user experience, and make informed, data-driven decisions.

Navigate to Statistics -> Support Performance -> Help Center and pick a time period. It'll be automatically set to the last 7 days by default, but you have the option to select the timeframe of your choice - up to 1 year at a time.

You can choose the Help Center whose data you want to see by selecting it from the drop-down menu at the top of the screen and you'll have the option to filter the data by the language supported by your Help Centers.

Check out the learnings that can be derived from this report.



This section highlights Article views and Searches (apart from showing data, we also provide benchmarking tips on how to improve them).

Article views indicate how many times articles within the Help Center have been viewed. It's calculated based on the total number of article views (including duplicate views by the same user). 

Insights that can be gained from this metric include:

  • Popular content: identifying which articles are frequently viewed, that will denote topics that are of high interest to users.
  • User engagement: tracking the overall view count of help center content to determine how engaged users are.

Searches show the total number of searches performed by users within the Help Center. 

Insights that can be derived from this metric include:

  • User needs: understanding the most common topics or questions customers are searching for, so the information can be prioritized based on that.
  • Search effectiveness: a high number of searches could indicate that customers are having trouble finding relevant information and that the content needs to be adapted.
The from # refers to the number it was in the previous period.


This section will provide more detailed information about each category and article.

The Article views graph will help you understand an article's effectiveness during the selected period - you'll see when your articles have been viewed the most, so you can track seasonal trends and align content with your customers' needs.

The increments on the graph will change depending on the time range selected in the filters - it'll be shown in days for the range of less than a month, in weeks for the range of 1-3 months, and in months for a time range longer than 3 months.

Performance by articles is a table that will break down data for each article based on the following metrics:

  • Views: total number of views, including duplicate views by the same user
  • Rating: quality of article calculated by: (% of thumb-ups) - (% of thumb-downs) from all ratings received
  • 👍 / 👎: number of positive reactions compared to negative
  • Last updated: the most recent date the article was edited

The table will show all articles that were public during the selected timeframe, even if they were unlisted or deleted in the meantime.

Help Center Searches

The three table types that are presented here will show how your Help Center articles match the most frequent search queries. 

This will give you more insights on shoppers' behavior - whether users who receive search results are more likely to engage with the content and stay on the site longer, compared to users who encounter no search results. It'll also provide helpful data on how to improve your Help Center content.

The Search results graph shows the distribution of total searches resulting in articles shown to the shopper compared to searches that didn't produce any results. 

A high percentage of searches resulting in no articles can indicate user frustration because the wanted content wasn't shown.

The Search terms with results table shows the most searched terms with three different metrics:

  • Search count: number of times the term was used in the search bar
  • Articles clicked: number of unique articles that were selected from the results returned
  • Click-through rate (CTR): percentage of search sessions where there was at least 1 click on a search result - higher CTR indicates that shoppers are finding relevant content in the search results

When clicking on Articles clicked result, a side panel will appear with the list of articles matched to the search term.

One search session could result in multiple clicks, and the CTR for a certain query could be higher than 100%.

By examining the number of times a specific search term was used, you can identify the most popular or frequently searched terms. This can indicate which topics or questions are top of mind for users. Through click-through rate, you can conclude if their search was successful. 

Also, if you analyze the Search terms with results table over time, you can identify emerging trends in shoppers' search behavior.

No search results table shows the most searched terms that didn't return any articles. The data is listed by the number of searches. 
This table can give you an idea of how to improve the content of your Help Center - which articles and topics to add. If relevant articles exist but are not being shown in search results, it suggests a need to optimize article titles, descriptions, and keywords for improved search visibility.


  • You can't export this report yet
  • You can't select a single day in the time range filter (apart from Today)
  • We don't display the number of deflections from articles
  • The sources of traffic are not shown in this iteration
  • Categories in the Performance by article table aren't displayed currently


Why can't I see my Help Center stats?

The Help Center Statistics dashboard is available for all accounts that have at least one Help Center created and enabled in Gorgias, with at least one article published. You can check the status and the content of your Help Center in Settings -> Channels -> Help Center

If you have a help center enabled, please make sure that it's published on your website, either through embedding or redirect

If you still don't have any data displayed, please note that you may have selected a timeframe while your Help Center wasn't enabled/published. Alternatively, you may just need to refresh the page.

Can I see the results from Article Recommendation in Chat and Emails?

You can see the stats for Article Recommendation in our Automate report.

Can I see how many tickets were created from the Help Center?

You can see this with the Ticket Created metric in the Support Performance Overview dashboard - select Help Center in the Channel filter and make sure that no agents or teams are selected.

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