How to view your Help Center Analytics?
See how much traffic your Help Center gets and the top visited help topics.
Table of content
Pageviews: A Measure of Interest or Uncertainty
Analyzing the Data
Understanding Totals and Limits
Deciphering Page View Metrics
Using Analytics to Your Advantage
Analytics can be a window into your audience's needs and preferences. By examining which articles are frequently viewed, you can gauge which topics may be causing confusion or require further clarification. Here's how to understand what the analytics reflect about your content's performance.
Pageviews: A Measure of Interest or Uncertainty
Each view recorded in your analytics represents an instance where a user has accessed one of your articles. High pageview counts can indicate two primary trends:
- High Interest: The topic may be popular or particularly useful to your audience, prompting many to seek it out.
- Possible Confusion: Alternatively, a high number of views could signal that readers are having difficulty understanding the topic and are repeatedly referring to the article for help.
Analyzing the Data
Understanding Totals and Limits
- Total Pageviews: This number shows how many times all of your articles have been viewed. It's a gauge of overall traffic and interest.
- Monthly Quota: This figure reflects the maximum number of pageviews your plan allows for a month, helping you track usage against your subscription.
Deciphering Page View Metrics
The analytics break down the views by individual articles, showing you exactly which content is attracting the most attention.
- Views by Article: Each article has a view count that reflects its individual contribution to the total pageviews. Articles with higher views might be hot topics or areas where users are seeking more information.
Using Analytics to Your Advantage
- Spotting Patterns: Look for trends in which articles get the most views. If certain topics have unusually high views, they might be areas where users are seeking clarity.
- Content Improvement: Use these insights to update or expand articles, clarifying any points that might be causing confusion.
- Focused Support: Consider creating additional resources for topics with high views, like FAQs or tutorial videos, to provide extra support.
- Strategic Content Planning: Align your future content with these analytics. If an article has low views, it might need better visibility or could be less relevant to your audience's current needs.
Remember, analytics are more than just numbers—they're insights into your audience's behavior and needs. By interpreting these metrics, you can tailor your content strategy to be more effective and user-centric.
Should you have any questions about understanding your analytics or need assistance, don't hesitate to contact our support team.
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