Severity Score Breakdown

EdgeRankWith the launch of our Negative Feedback Analysis feature, we revealed a new metric: Severity Score. There are a variety of different types of Negative Feedback, each type differs in severity. The score weights these types of Negative Feedback to give perspective into how bad the feedback really was.

We believe that the severity of Negative Feedback is as follows:

xbutton > hide > hide all > spam > unlike

We have weighted the Negative Feedback and divided against Total Unique Impressions to give relativity for the number of people who saw it.

What is More Important: Affinity or Frequency?

An excellent question was asked on Quora recently: What is the role of history vs. frequency in Facebook EdgeRank success? The question is driving at what has a larger impact, Affinity or Frequency? Simply put, does my affinity with a Facebook Fan have a deeper impact compared to how frequently I publish content?

Answer : It depends on your audience.

As much as we dislike the ambiguity of this response, it really is true. Let’s take a look at why this is the case. First we’ll look at raw data, and then we’ll look at why this theoretically makes sense.

We looked at the Best Post Frequency median for over 10,000 Pages. The median, in this case, is more statistically relevant and more applicable to a “typical” brand than the average Best Post Frequency.

The frequency which resulted in the highest average engagement:

  • Best Post Frequency Median: 1
  • Best Post Frequency Average: 2.4

At first, this seems to illustrate that the quick answer to the original question is Affinity. Post your best content, once per day, at the most optimal time of day. However, not all fan bases are created equal. Continue reading

What is EdgeRank?

We built a simple one page site to help explain What Is EdgeRank?
Check it out here: http://www.whatisedgerank.com

EdgeRank is an algorithm developed by Facebook to govern what is displayed (and how high) on the News Feed.

What is the EdgeRank algorithm?

This algorithm can be understood as: the sum of Edges, each Edge is made up of (Affinity, Weight, & Time Decay). This may sound complicated at first, but when you begin to understand the underlying concept, it’s actually a brilliantly simple and effective algorithm. We’ll dive into the details and provide a working example. Continue reading

New EdgeRank Score Breakdown

A lot has changed on Facebook since we’ve launched EdgeRank Checker. Facebook has combined the Top News and Most Recent news feeds into a single hybrid news feed, Timelines have been introduced for Personal Users, Insights received an overhaul, OpenGraph along with Spotify integrations were announced, and much more. During these changes, we’ve closely monitored EdgeRank Scores and how they’ve been impacted by these changes.

After careful consideration and monitoring, we’ve unveiled a modified EdgeRank Score Breakdown. We opted to change our scaling system, as opposed to modifying our existing algorithm in an effort to maintain consistent Scores for all of our users.

New Breakdown:

  • 0 – 10 is below average
  • 11 – 20 is average
  • 21 – 30 is above average
  • 31+ is excellent

We apologize for the inconvenience, however we believe it’s imperative that our users understand where they stand in relation to their peers. With the new changes, scores tended to be slightly higher, therefore slightly shifting our scale upwards.

Thank you for your understanding, and if you have any questions don’t hesitate to ask.

How the New Hybrid News Feed Affects Engagement

Facebook unveiled their brand new hybrid news feed for all users yesterday (9/21/11). We analyzed how the new hybrid will effect EdgeRank, however now we’ve had some time to analyze the impact on engagement. There’s been widespread rumors that engagement has been down across the board, we decided to put that to test.

We actually found that engagement was actually up across the board.

The details of our preliminary study: Continue reading

Is EdgeRank Checker Accurate?

Yes, EdgeRank Checker is accurate. To better understand the accuracy of EdgeRank Checker, let’s look into the details of an EdgeRank Score.

What is an EdgeRank Score?

An EdgeRank Score is a score provided by our algorithm to estimate the effect of EdgeRank on your Page’s fans. The higher your EdgeRank Score, the higher the likelihood your updates reach your fans via the news feed. You can read about it further here: What is an EdgeRank Score?

I thought EdgeRank was determined per user per update?

EdgeRank is applied to every object within Facebook. An object could be anything from a status update to a friend liking Pages (see right). EdgeRank experts tend to use the following terms interchangeably: objects, updates, statuses, edges. EdgeRank applies to every single object within Facebook. We analyze the objects created by your Facebook Page. These objects are typically the following: Continue reading

What is an EdgeRank Score?

An EdgeRank Score is a score provided by our algorithm to estimate the effect of EdgeRank on your Page’s fans. The higher your EdgeRank Score, the higher the likelihood your updates reach your fans via the news feed. Facebook’s EdgeRank is calculated for each one of your Facebook fans individually, however we are able to look at the overall average affect of each user’s EdgeRank Score with your Page. Even if we were capable to calculate an EdgeRank Score per fan, it would be more beneficial to a Facebook Page Admin to analyze the average EdgeRank Score per fan. Continue reading