Chris Sietsema, from Teach To Fish Digital, discusses the algorithm Facebook uses to determine what content to suggest to users:
Deconstructing Facebook’s EdgeRank
It’s an extremely interesting look behind the scenes of how Facebook “ranks” content for the purposes of sharing. Hint: the Facebook “Like” button is kind of important in this equation…
Here’s a sample from the article explaining affinity (u):
Those who comment and like your personal updates have a higher affinity (the relationship between object creator and recipient) than those that do not.
on how weight (w) is determined:
Each object is assigned a score based on the number of comments and likes it earns. An object with 15 comments and 20 likes has a much greater weight than an object with 0 comments and likes.
Mr. Sietsema also discusses what all this means to your company, and offers up some content strategy. It’s definitely worth reading, so here’s the link again: Deconstructing Facebook’s EdgeRank
What this means for MailChimp customers
Now I realize that it’s tempting to say, “Bah-humbug! It’s too early to care about all this Facebook Likey stuff, so let’s see how all this plays out before I start changing the way I do my email marketing.”
Fundamentally though, this shouldn’t change the way you do your email marketing that much. It’s all about creating useful content (that people like to share) on a regular basis. In fact, you’re probably already placing “share with your network” links in all your campaigns.
But the Like button is different from the social sharing icons that you’re probably already including in your emails. This is all about Facebook learning what people Like, then Facebook suggesting new content to others (see: Facebook Seeks to Build the Semantic Search Engine).
What’s changing now is whether or not your emails help people “like” your content, and whether or not you want to track all that liking (to learn more about your customers, in order to create even better content).
Here’s how to put the Like button in your emails, and track your total Facebook likes, with MailChimp. We made it as easy as pasting this merge tag: *| FACEBOOK:LIKE |*
Still want to wait and see if this is all just a fad? Nothing wrong with that. But be sure to check out the “d” in that equation above:
d = time decay factor

Brilliant post Ben,
I guess at this point only a few companies can afford the research and investment to build a real semantic search engine. You made a great point. I wouldn’t think of “specific or relevant information” just from a FB perspective but if we start thinking the same about the “web” in general. Everybody will be more prepared for this big step.
One day, every platform will cooperate in a synchronised way and marketers will have to juggle to figure out a good “weight” across many platforms
Best
Fred
Thanks for your kind words, Ben. Glad you found the post helpful. Hope others do too. I <3 MailChimp.
Chris! Also, great post man. Thanks.
A month ago I did a video post commenting on 5 FB update tips from WildfireApp but no one seemed to know at the time about how this algorithm worked.
We published your post on our FB page today. Worth sharing
Heh, @lauter (I’m like a ghostwriter for all the social research she does) was *just* in my office recommending I post a link to this:
http://www.hyperarts.com/news-feed-optimization-effective-facebook-posts/
which references wildfire. Good stuff. What fascinates me most about all this is how it’s history repeating. Remember all the fascination with Google’s pagerank in the early days?