Viewership, buzz, liking, sharing …etc.
Quantitative analysis depends mainly on the published numbers on social networks. For example, the number of likes, comments, shares …etc. Each of such numbers is very indicative to a certain angle of information.
In the annual report, each of the above insights are processed and presented in a comprehensive manner that delivers a precise conclusion. Some examples are as follows…
- Categorized viewership analysis by entity/campaign, by advertisement copy/episode, or by scene.
- While viewing itself could be due to paid advertisements -i.e. sponsored videos and pictures by the brand owner or digital marketing agency, individual shares adds a very important insight since they are very indicative to the real audience interest.
- Quantitative commenting (since qualitative commenting will be discussed in another post) means a lot. Numbers alone represents the volume of buzz (or talks) that identifies audience interest in the associated object or subject.
- Same for liking and disliking by entity, copy or scene since viewing or sharing themselves may not be necessarily as a symptom of appreciation.
In the above figure, illustrative numbers of the results gained by various entity types are presented.
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