Understanding Post Grading: Affinity

Facebook defines EdgeRank as: Affinity x Weight x Time Decay. Facebook measures Affinity between Users and Pages by monitoring their interactions. Interactions are objects such as Likes, Comments, Clicks, Shares, Wall Posts, and anything else that Facebook can tangibly measure.

EdgeRank Checker provides complete analytics for Affinity. This is a valuable metric you will not find anywhere else!  

The Affinity grade displays the process of understanding these Interactions. Facebook allows us access to analyze Interactions through Comments and Likes. Understanding how users are interacting with your Page can be incredibly powerful.

We are able to analyze these relationships in two valuable ways:

1. Identify how many Unique Engagers your Post received: This can be beneficial in understanding the difference between 25 people individually voicing their input, versus two people arguing their point a dozen times on your Post. Having 25 Unique Engagers is much more valuable to EdgeRank (as it builds Affinity with 25 users).

2. Relay if fans have commented on your Content within the past 30 days: This can be incredibly helpful as you begin to understand who you’re building Affinity with. Whether you want to reach new, or old fans (engaged in the past 30 days or not), you’ll be able to adjust your content strategy accordingly.

 

8 Comments on “Understanding Post Grading: Affinity

  1. Asker

    Higher interaction of a single fan with the page means higher chance for showing a wall post in his news feed. I want to know whether interaction (“likes” specifically) of other fans affects on that single fan news feed apart from his interaction with the page? (example: chance for showing up a wall post in his news feed is 20%, but with high “likes” of other fans, chance is 60%). Thanks!

    • Chad Wittman

      Yes. Other users interactions with an object increase the EdgeRank of the object. EdgeRank is the sum of Edges. Therefore, an object receiving multiple Edges (and/or engagement), increases that sum, thus increasing the EdgeRank Score of the object.

  2. If a user interacts with an ad of a page that they’re already a fan of, does that interaction affect the affinity score?

    • Chad Wittman

      I do not have stats to verify this, but I would guess that this would improve their corresponding Affinity.

  3. raghav

    If a user interacts with an application installed on a page, does that help im imcreasing the affinity of that page with him. Do you have any data on this.

    • Chad Wittman

      No data to back up, but would definitely assume so.

  4. Julia

    Do facebook analytics reflect Edgerank scores? For example, I have a post that received 12 comments and 8 likes and according to my facebook analytics it only reached 2% of my followers. It has a reach of only 82 and claims only 15 engaged users. Keep in mind an average reach score for us is about 300.

    So my question is, should I put any stock in FB analytics? Or should I only pay attention to Edgerank stats. And is this is so, why are FB analytics not a reflection of Edgerank stats?

    • Chad Wittman

      We analyze Facebook Analytics to understand the average effects of EdgeRank. Our stats analyze Facebook Insights to understand how to improve engagement moving forward. So the answer is to understand the value in both. Understanding both is the best path to success.

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