The Engagement Metrics feature on Pixalate’s Media Rating Terminal (MRT) provides detailed insights into user interaction and ad performance on websites.
Engagement metrics help users measure, analyze, and optimize engagement and advertising strategies based on comprehensive programmatic traffic data.
Here’s how you can effectively interpret the information in this widget:
User Engagement
This section measures how often and how deeply users interact with a website over the past 30 days.
- Monthly Active Users (MAU): The total number of unique users who visited a website at least once within the past 30 days; a higher MAU typically indicates strong site relevance and user retention.
- Total Sessions: The total number of distinct browsing sessions initiated by users within the past 30 days; a session is a 30 minute long continuous user interaction on a Website. More sessions typically correlate to higher overall engagement and repeat visits.
- Pages per Session: The average number of pages viewed during a single session — higher values often indicate engaging content and intuitive navigation.
- Session Duration: The average time (in seconds) users spend per session — longer durations typically suggest engaging content and better user satisfaction.
Figure 1. A portion of the User Engagement widget — showing metrics on how often and how deeply users interact with a website over the past 30 days.
Ad Performance
This section provides a clear breakdown of how an ad has performed on a website in the past 30 days. Key metrics include:
- Ads per Page: The average number of advertisements displayed on each webpage. This metric helps balance monetization with user experience by optimizing ad load.
- Ad View Time: The average duration, measured in seconds, that users spend viewing ads. Longer view times can suggest effective ad placement and relevant content.
- Ad Viewability: The percentage of ads considered viewable based on industry standards (e.g., at least 50% of the ad visible for a minimum of 1 second). Higher rates can indicate more effective placement and better ROI for advertisers.
- Click-Through Rate (CTR): The percentage of ad impressions that result in clicks. A higher CTR can reflect effective targeting and compelling ad creatives.
Figure 2. Ad performance for the past 30 days.
- User Behavior
This section provides details on when users engage with a website – helping optimize content timing and ad delivery:
- Peak Active Hour: The hours of the day when user engagement is highest; helps identify optimal times to publish content or serve ads.
- Peak Active Day: The days of the week with the highest user activity; useful for scheduling content updates or campaigns to maximize reach.
Figure 3. User behavior, showing the time and day users are most engaged.
Cross Platform Distribution
The proportion of website engagement from mobile web compared to desktop. This can help to tailor site design and ad strategy to the primary user platform.
Figure 4. Cross platform traffic distribution, showcasing mobile web vs desktop
All Engagement Metrics data displayed in MRT reflect programmatic traffic from the last 30 days. Leveraging these insights can significantly enhance your understanding of audience behavior, improve user experience, and optimize your ad revenue strategy.
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