How EdgeRank Works
EdgeRank is an algorithm that ranks objects in the Facebook News Feed. Pages with high EdgeRank Scores will be more likely to show up in the news feed, than Pages with low EdgeRank Scores.
EdgeRank is made up of 3 variables: Affinity, Weight, and Time Decay. Affinity is dependent on a user's relationship with an object in the news feed. Weight is determined by the type of object, such as a photo/video/link/etc. The last variable is Time Decay, as an object gets older, the lower the value.
We've developed our own EdgeRank algorithm to help Page Admins understand how their Page interacts with the News Feed.
- #Hashtags and #EdgeRank
- Facebook has officially announced and deployed hashtags into the news feed. Many Page Admins are interested to see how hashtags will impact their brand’s news feed strategies. Facebook announced… Read More >
- CSV Exports Now Available
- We're happy to release a new feature for EdgeRank Checker Pro users: CSV exports are now available for both Page and Post data. Our CSV exports contain the following data: Page… Read More >
- The Average Facebook Page Experiences 0.35 Viral Uplift
- There are many ways to define viral aspects of a Facebook strategy. Facebook has a few terms that address this issue: Viral Reach, Viral Impressions, Viral Impressions Frequency Distribution, and… Read More >
- Facebook Launches Ads Call to Action
- We recently spotted a new call to action in our notifications for our Facebook Page. Facebook is now suggesting Pages to advertise certain posts based on their historical performance. In the case… Read More >