Social media reach

This type of reach regards the number of times that distinct users have come across sponsored posts, ads or content.

Data collected can give insight, to advertisers or marketers for example, on the activity based around the reach of their post.

This type of reach regards the number of views by distinct users on posts that have been commented on or shared by their friends on Facebook.

Viral reach can be looked at in terms of a collective number of times that the post has been on individual user's timelines.

Data collected from viral[3] reach can be used in multiple ways, for example, it can be used to analyze the type of content that gets shared or commented on and can be further used to compare to other posts.

[5] This open access is useful for both the average user and companies as it can provide a quick glance or general outlook of who has seen their tweets.

[10] These platforms not only allow marketers to get a better understanding of their audience, but also allow advertisers to insert their ads onto the timelines of specific users to later be able to conduct research to see the reach of their posts/content.

[10] The basic goal of marketers is to increase their reach as much as possible to impact bigger audiences of their dream customers and, in the end, make more sales.

[11] A lot of information can be gathered which can provide intel based on user activities on social media.

[11] When looking into analytics in regard to social media, each company or group has a different goal in mind to engage their audience.

Algorithms tend to favor posts with substantial likes and comments, granting them broader exposure compared to less engaging content.

Primarily seen on LinkedIn, a platform geared toward professional networking and business connections, the use of CFBR signals active engagement aimed at enhancing post visibility.