What is Content Analytics?
Content Analytics provides a leaderboard-style view of content performance within your learning platform. By ranking content based on user interactions such as completions, views, and engagement, this feature helps identify the most popular and effective resources over a selected time period.
With sorting by interaction type, you can quickly see which content resonates most with users and refine your content strategy accordingly.
Key Metrics
Content Analytics tracks content performance in the following areas:
- Completions – Content ranked by the total number of user completions.
- Bookmarks – Content ranked by the total number of times it has been bookmarked.
- Comments – Content ranked by the total number of user comments.
- Likes – Content ranked by the total number of likes received.
- Shares – Content ranked by the total number of times it has been shared.
- Views – Content ranked by the total number of user views.
Filters allow for refined analysis based on Content Type and Created By, helping assess engagement for different content formats and creators.
Best Practices for Using Content Analytics
- Identify top-performing content – Recognise high-impact resources and replicate their success.
- Encourage content interaction – Promote underutilised content to increase engagement.
- Support content creators – Identify contributors producing the most engaging materials.
- Refine content strategy – Use data insights to create more relevant and engaging content.
- Assess learning trends – Understand which topics or formats drive the most interaction.
By leveraging Content Analytics, you can optimise content effectiveness, drive engagement, and improve the overall learning experience on your platform.