Engagementeach

Engagementeach is a metric used in digital analytics to measure the average number of engagement actions per engaged user for a given content item, audience segment, or time period.

Calculation is straightforward: Engagementeach equals the total number of engagement events divided by the number of unique engaged users. Engagement events can include likes, comments, shares, saves, clicks, video plays, and time spent with the content. Unique engaged users are those who performed at least one engagement action during the interval. In some implementations, actions may be weighted, yielding a weighted engagementeach as a variant of the basic metric.

Interpretation and uses: A higher engagementeach indicates that engaged users interact more deeply with the content. It complements engagement rate, which depends on reach or impressions, by focusing on depth of engagement per engaged user. Researchers and marketers use it to compare content quality across posts or campaigns, inform creative strategy, and allocate resources.

Limitations and considerations: Definitions of engagement types and the chosen time window can significantly affect the results. Bot activity, cross-platform differences, and varying audience behaviors can bias comparisons. When comparing items, it is important to maintain consistent definitions and windows, and to consider both unweighted and weighted versions to capture different interaction intensities.

Origin and relation: The term engagementeach appears in industry discussions as a practical concept rather than a formal standard, and is related to metrics such as engagement rate and average time spent. Related concepts include engagement per user and depth of engagement.