Engagement Rate by Views

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Here the calculation formula is similar to ERR, only the reach is replaced by the number of views:

ER View = (Post Engagement Sum) / (Number of Views) * 100%

Average ER View = (Sum of ER View of all records in the analyzed period) / (Number of records in the analyzed period)

Engagement Rate by Views

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This approach retains the inherent disadvantages medicare leads email list of ERR, but adds another one: the number of views does not match the total number of viewers, since each user can view the post multiple times, so the differences between the indicators for different publications are even greater. In this regard, it is advisable not to use ER View to conduct a qualitative assessment of any materials.

Engagement with multipliers
This mechanism involves the use of multipliers taking into account the significance of the indicators: it is assumed that “a repost has more weight than a like” or “many messages are left by the account owner in response to subscribers”, accordingly, the number of reposts is multiplied by 2 (3, 4, etc.), and the number of comments by 0.5 (divided in half).

In the formulas given, Engagement Rate was always expressed as a percentage of the number of subscribers (or reach). In other words, the engagement rate ER is a metric that characterizes the share of the audience participating in the life of the community.

It follows that when adding multipliers, the term "engagement rate" is incorrect, because if the rate is different from 1, we will not end up with the percentage of the engaged audience. For such metrics, for example, the name "activity index" would be suitable, but there is no talk of engagement here.

Engagement per subscriber
The calculation of this metric is almost the same as the ER Post indicator, only you need to multiply it not by 100%, but simply by 100. Then we get not the share of the audience that responded to the publications, but the average number of reactions for every 100 subscribers.

This representation eliminates the typical drawback of ER percentages (different reactions can come from the same subscriber), since the audience size does not play a role.

However, this revision of the standard model comes with its own nuances: since audience size is no longer taken into account, the indicator is often mistakenly considered as absolute and it is believed that audience size can be neglected when comparing it across different communities.