As a business consultant, questions about Facebook Edgerank always pop up in the conversations with clients. In today's article, I want to provide answers to one of the most asked questions, "What is Facebook Edgerank?"
Facebook Edgerank is an algorithm that Facebook uses to determine what should be seen by users based on their interests and interactions. Edgerank allows Facebook to deliver relevant content to users at any given time.
Facebook marketing can be really confusing at times. They have all the funny terminology which easily confuses many.
An "Edge" is every interaction you've ever done on Facebook. This means that from liking a post, replying to a post, commenting on Facebook groups/pages and even messages. Yes, you are being tracked (but for the good thing).
When Edgerank filters your Facebook feed, you will start seeing posts that matters to you and people who you had interacted recently.
There are three factors that affects Facebook Edgerank:
Affinity x Weight x Time Decay = Edgerank Affinity
Now, what does this means?
In simpler terms, Facebook gathers Affinity data based on the clicks you have made in the past to that page or friend's feed, including number of Likes, Shares and Comments you had made.
Affinity can also be used to explain your level of interest towards a particular brand's page, or how much of an online friend you are.
Each person's Edge Weight is different. For example, someone who likes browsing photographs is more likely to have more photographs in their feed than someone who rarely clicks on them.
Facebook recency is a key driver for Facebook Edgerank algorithm to work properly. Post decay happens incredibily overtime so that new edges are favoured over older ones.
It is also similar to the way search engine are attracted to fresh new content.
At Marketing Lancers, we are a firm believer that every algorithm has their owns 'style' and by understanding the style, we can easily increase our reach and results.
What are the algorithm that Facebook Edgerank likes?
There are also some major red flags you should consider if you want to beat Facebook Edgerank to its knees. One of them is knowing what the algorithm doesn't favor and avoid using them at all cost.
I hope you find this article about Facebook Edgerank useful.
Have a question about Facebook Edgerank? Hit the reply button and don't be shy to ask!