MediaSpace: User Engagement Analytics

Accessing User Engagement Analytics in MediaSpace

Accessing and interpreting user engagement analytics data within MediaSpace is essential for understanding how viewers interact with your content. This data can help you improve content quality, enhance viewer experience, and make data-driven decisions. Here’s a step-by-step guide on how to access and interpret user engagement analytics, along with examples of how this data can be applied.

Access MediaSpace

1. Log in to MediaSpace:
   • Open your web browser and log into my.mines.edu with your Mines credentials.
   • Navigate to the MediaSpace tile within my.mines.edu or use the url, mediaspace.mines.edu.
     

Navigate to My Media

2. Go to My Media:
   • Click on My Media from your Profile Image to access your My Media library.
     

Navigate to Analytics

2. Open Analytics:
   • Within My Media, click on the Analytics (graph icon) button next to the video you are evaluating.
     

Access and Interpret Engagement Metrics

5. View Key Metrics:
   • The user engagement analytics dashboard will display various key metrics such as:
     • Player Impressions: How many times the video was loaded on the page, regardless of whether the user clicked Play or not
     • Plays: Number of times the media has been played.
     • Unique Viewers: Number of unique users who have accessed the media.
     • Minutes Viewed: Total number of minutes a video has been view my users.
     • Average Completion Rate: Percentage of viewers who watched the video to the end.
     • Social Highlights: Social engagement metrics indicating user interaction.
        
6. Engagement Graphs and Heatmaps:
   • Use engagement graphs and heatmaps to see detailed visualizations of viewer interaction. Heatmaps show which parts of the video are most and least watched.
     
7. Engagement Per User:
   • Shows user engagement on an individual level, showing player impressions, video plays, the average completion rate and the total completion rate.
     
8. Video Performance Over Time
   • This is a graph display showing various metrics on a monthly or daily basis
     
     • Player impressions
     • Plays
     • Unique Viewers
     • Minutes Viewed
     • Average Completion Rate
     • Average Drop Off Rate
9. How Player Impressions Lead to Engagement
   • This is a Funnel diagram which visualizes total player impressions which them narrows down to how many views a video received, followed but how many individuals completed the video. 
     
   • Results can be filtered to various completion rates.

Export and Share Analytics Data

8. Export Analytics Data:
   • Use the export function to download the analytics data for further analysis or reporting. This content will be emailed to your @mines.edu email address and is  available in CSV format.
     
9. Share Insights:
   • Share the insights with relevant stakeholders such as faculty, content creators, or administrative staff. Use this data to inform discussions and decisions about content strategy.

Examples of How to Apply User Engagement Analytics Data

1. Content Improvement:
   • Example: If the drop-off rate is high at a particular point in the video, review that section to identify potential issues (e.g., content quality, relevance, or presentation style). Modify the content to maintain viewer interest.
2. Tailoring Content to Audience Preferences:
   • Example: If certain videos have higher engagement rates, analyze what makes them successful (e.g., topic, length, presentation style) and create more content with similar attributes.
3. Optimizing Video Length:
   • Example: Use data on average engagement to determine the optimal video length for your audience. If viewers tend to drop off after a certain time, consider making shorter, more concise videos.
4. Enhancing Viewer Interaction:
   • Example: If analytics show that videos with interactive elements (e.g., quizzes, calls to action) have higher engagement, incorporate more interactive features in your videos.
5. Scheduling Content Releases:
   • Example: Analyze peak engagement times and schedule new content releases during these periods to maximize viewership.
6. Personalizing Learning Experiences:
   • Example: Use individual engagement data to personalize learning experiences. For example, check in with students who have not been engaging with required content.
7. Improving Accessibility:
   • Example: If data indicates that a significant portion of your audience uses mobile devices, ensure your videos are optimized for mobile viewing. This includes shorter video lengths and mobile-friendly formats.
8. Content Promotion:
   • Example: Promote high-engagement videos through different channels (e.g., social media, newsletters) to attract more viewers and build on their success.
9. Feedback and Continuous Improvement:
   • Example: Use engagement data to gather indirect feedback about your content. High engagement and completion rates generally indicate valuable content, while low rates might suggest areas for improvement.

Best Practices for Using User Engagement Analytics

1. Regular Monitoring:
   • Regularly review engagement analytics to stay updated on how your content is performing and to quickly identify any emerging trends or issues.
2. Set Clear Goals:
   • Establish clear goals and key performance indicators (KPIs) for your media content. Use engagement analytics to measure progress towards these goals.
3. Combine with Other Data Sources:
   • Integrate engagement analytics data with other sources of feedback, such as surveys or direct viewer feedback, for a comprehensive understanding of your content’s impact.
4. Act on Insights:
   • Use the insights gained from engagement analytics to make informed decisions and take action to improve content quality, engagement, and accessibility.
5. Communicate Findings:
   • Share relevant analytics insights with your team and stakeholders. Use data to support recommendations and foster a data-driven culture.
6. Maintain Data Privacy:
   • Ensure that the use of analytics data complies with privacy regulations and Mines policies. Protect viewer privacy and handle data responsibly.