Researcher Jakob Nielson suggests that when considering the internet as a network of communities, most large-scale communities consist of users who don’t participate very often. He also explains that most of the content contributed to these communities originate from a small majority of very active users. Nielson refers to this discrepancy as participation inequality and speculates that it typically follows a 90-9-1 rule in which users fall into one of three categories: Lurkers, Intermittent Contributors, and Heavy Contributors.
The 90-9-1 rule aplies to even an inherently social platform such as Facebook. As shown by Adam Mosseri in his presentation presentation during UX Week 2010 about user data’s impact on product design at Facebook, 20% of users generate 85% of content on Facebook. This data comes as no surprise. Many users have those two or three friends within their own communities of Facebook friends who comment on what seems like every status update on their wall and update their own status a hundred times throughout the day. Mosseri makes an important point in citing the Facebook product team’s commitment to accommodating not only to those 20% of power users, but to the lighter users as well.
As brand Pages on Facebook amass millions of fans—becoming large-scale communities—participation inequality challenges brands looking to build a community of advocates on Facebook. The existence of participation inequality within brands’ Facebook communities demonstrates the existence of another hierarchy similar to the one Nielson describes. Brands must recognize the existence of these different types of fans, as they represent varying levels of value for a brand.
- Withdrawn Fans — fans who have hidden a brand’s posts from the News Feed
- Latent Fans — fans who see a brand’s posts in the News Feed but don’t interact with them
- Active Fans — fans who see a brand’s posts in the News Feed and interact occasionally
- Hyperactive Fans — fans who see a brand’s posts in the News Feed and interact often
In fact, Facebook inherently acknowledges this notion, as evidenced by EdgeRank, the algorithm that programmatically decides which stories appear in a user’s News Feed. Firstly, affinity—one of three key components in EdgeRank—draws upon historical interaction data between the viewing user and the originating source of the News Feed story. The premise is that activity from a brand Page that a user interacts on a more frequent basis signifies a more important connection to the user than one with which the user rarely interacts. Therefore, a fan that interacts more frequently with a brand’s Facebook Page holds greater value for that brand. Whereas affinity signifies the frequency of activity, weight, another factor of EdgeRank, demonstrates the different types of activity a fan may take to interact with a brand Page’s content. Simply stated, actions that require more effort from the fan (such as a comment or share) signify greater weight values than lightweight actions (such as a Like). In order to maximize visibility and engagement within the News Feed, then, a brand must incorporate two elements of News Feed Optimization into its Facebook content strategy:
- Diversity. Content that elicits different types of actions with varying weight values (Shares, Comments, Likes, Clicks).
- Consistency. A dedication to consistently post engaging content, in order to increase affinity scores among fans.
The existence of these different types and values of Facebook fans further proves that marketing on Facebook—or any other social media network, for that matter—requires a long-term commitment and insightful strategy. Furthermore, the notion of participation inequality supports the claim that when it comes to social media, content indeed reigns supreme.
Justin Oh
Social MediaMay 29th, 2011
video by Adaptive Path
At Facebook, analytics play a critical role in informing design decisions, but internally there’s a wariness of the idea of design by numbers. In this talk we’ll hear about three primary ways Facebook uses quantitative data: • Optimizing small but important interactions • Finding pain points in existing work flows • Setting high level success metrics for large projects Some things are difficult, or maybe even impossible, to quantify. Currently, the design team works to optimize for both the user and the network, and though these two are not mutually exclusive they are not always perfectly inline. We’ll hear Facebook’s take on how they think they should improve their ability to quantify some of the less tangible data points, like brand perception and long term network value. Those analytics can begin to perform as counter metrics so that they can begin to rely less heavily on instinct, which is important but sometimes fallible.
Posted 21 October 2011 10:44am by Graham Charlton with 4 comments
I've rounded up ten recent infographics on Facebook, with lots of stats, on demographics, why people follow brands and more.
Where possible, I've added the infographics to this post in a readable size, but for others you can click on the image to see a larger version...
Are we too obsessed with Facebook?
(via onlineschools.org)
What makes people follow brands on Facebook?
(via getsatisfaction)
Facebook wall of shame
(via Mashable)
What would a world without Facebook look like?
(via SingleGrain)
Five Q&As on Facebook marketing
(via DanZarrella)
Facebook business survey 2011
Visualising Facebook friendships
(click image for larger version)
(via Facebook)
Most popular brands & celebs on Facebook and Twitter
(via Socialbakers)
Facebook vs Google+
(via SingleGrain)
Men vs women on Facebook
(via Hubspot)
Posted 16 August 2011 12:38pm by Kelvin Newman with 55 comments
EdgeRank is one of the most important algorithms in marketing. Despite this, very few people have heard of it and fewer still can claim that they fully understand it.
EdgeRank is the name of the algorithm which Facebook uses to determine what appears in their users’ news feeds. The news feed is Facebook’s ‘Killer App’. There is a plethora of information available to Facebook users, and the newsfeed is the order in which it appears.
It determines which of your connections is the most important to you and thus appears most frequently, and which kinds of content should appear higher than others. For anyone seeking to market a product or service on Facebook it’s essential you understand how this algorithm works.
Understanding the rules of the algorithm and changing your tactics to reflect the system can make the difference between a business changing campaign and an embarrassing failure. Yet despite this huge importance very little has been written about the algorithm.
Unlike many of the algorithms that are changing marketing, Edgerank is actually not that sophisticated, but don’t let its relative simplicity make you underestimate the influence knowledge of the subject will have on your tactical choices.
Let’s start off with the name. Other than because it sounds cool, why is the News Feed algo known as EdgeRank? This is because every piece of content is known as an “edge”.
So, a status update is an edge; liking a status update, that’s an edge; uploading a photo, that’s an edge, too; or a change in relationship status? That’s also an edge. Basically, every interaction you have with Facebook that creates a piece of content is known as an Edge.
So, the newsfeed isn’t really a feed of news, instead it’s a chart of the most ‘important’ Edges which are determined by the EdgeRank Algorithm. What are the elements that make this algorithm? A combination of three factors: Affinity, Edge weight and Recency.
The EdgeRank formula is based on these three elements. While this does make the algo seem simple, there’s actually a huge amount of complexity behind these three factors.
Affinity
Affinity is a score based on the proximity or how “friendly” you are with someone. You’ve probably seen this in action. Spy on an ex-boyfriend or girlfriend, snoop on their profile and suddenly they’re in your news feed all the time.
Comment on someone’s photos and you’ll find them appearing in your feed more often. This is affinity in action. You’ve sent a proactive signal that you have a ‘close-ness’ to that individual or organisation. The algorithm acknowledges this and begins to order the results in your newsfeed accordingly.
Some people aren’t wholly supportive of Affinity having such a significant role in EdgeRank. The concern is that it becomes a self-fulfilling prophecy, i.e. the more often someone appears in your news feed, the more likely you are to increase you affinity, which in turn increases the likelihood of them appearing in your feed in the future and so on.
But given how people tend to cluster around only a small number of their connections it seems to work well for most people on Facebook.
One of the most important things you need to realise about affinity as a marketer is that affinity is one-way. This means you visiting a forgotten friends profile doesn’t increase the likelihood of you appearing in their newsfeed.
I’m sure for nosey people that is great news. It is less likely to be considered good news for company profiles. For example, if you visit a profile of someone following you, it will have no impact on your Edges appearing in their feed. However you commenting on a photo of theirs which then triggers them to comment back would lead to them having a greater affinity to you.
Edge Weight
Edge Weight is a basic formula which decides that certain pieces of content are more likely to appear in news feeds than others. Photos are more important than someone “liking” a business profile, etc.
There’s no definitive sequence of Edge Weight, but there are certain objects which acquire more EdgeRank than others. This can imply that they tend to have a higher Edge Weight than other types of content.
The three types of content which are widely understood to have the highest Edge Weight are Videos, Photos, and Links. Knowing that these are have the heaviest weighting should alter the way you communicate using Facebook. You should try and incorporate objects with high weight scores into any announcements that you want to reach as many of your followers as possible.
It’s also worth noting that each person’s Edge Weight is different, i.e. someone who likes browsing photographs is more likely to have them in their feed than someone who isn’t as keen on them. It’s not possible to understand which types of objects each of your followers favour, but this should at least deter you from the temptation of adding photos to every status update.
On the one hand, this will seem like a sensible strategy. It will have a high EdgeWeight. On the other hand, for the people who don’t often click on photos you might have more success with a link, a video or an old fashioned text status update.
It’s also worth noting potential political elements to EdgeWeight. At any point in time there will be certain features which strategically Facebook will want to push. Is it that far-fetched to assume that given Facebook’s desire to own Foursquare style logins in they might turn up the weight of Facebook Places Check-Ins?
You should recognise what Facebook are trying to promote, as it’s likely to influence the EdgeRank algo.
So, clearly variety is important, but understanding the relative weights of different types of object will help you increase the potential audiences of any message you’re trying to get across on Facebook.
Recency
The final element of the EdgeRank is related to recency, which is actually known as time decay. For example, regardless of how much the EdgeRank is based on Affinity and Weight, if it’s old news it becomes less likely to appear. This is different to Twitter which relies only on chronological order;
Facebook is still very reliant on the temporal nature of content, which is again pretty self-evident. Put simply, recency is that something newer is more likely to appear than something older.
The implication of this being that you should create objects and edges at the points in time when your audience are most likely to be using Facebook. This decreases the time decay and therefore increases the chance of your content reaching their news feed.
There is also another potential consequence of understanding the time decay factor. When appearing in the news feed you have exceeded the EdgeRank of other items. You might then increase the exposure by creating content when other people are less likely to be creating content, therefore reducing the competition for spots in the news feed.
Things you can do to increase your EdgeRank
Now if you’re a regular user of Facebook, many of these ideas behind EdgeRank are obvious, but with a good appreciation and understanding of how EdgeRank works you will begin to make more intelligent decisions in your Facebook marketing campaign.
The creativity of big campaigns is important. However, from my experience of Facebook Marketing, while it’s these huge efforts that always draw the attention and become the focus of case studies, it’s actually those lower profile campaigns which are built on constant interaction with their fans that really deliver the most value.
Whether you’re managing a campaign to make a big splash or a constant drip, there are plenty of takeaways from understanding more about more about how Edgerank works.
For example if you have an important launch coming up and you really want that content to appear in as many of your fans’ news feeds as possible, what can you do to increase the likelihood of it appearing?
First of all, you want to do all you can to increase the affinity between your followers and you ahead of the announcement. Perhaps you could start a debate on one of your status updates which lots of your followers contribute to.
Not only will the number of comments increase the likelihood of that particular item appearing in the newsfeed , but also anyone who has made a contribution will have increased their affinity to you.
Don’t be afraid to ask for the contribution! Buddy Media has found that using questioning words like Where, When, Why and Would have a dramatic influence on likes and comments, and as these likes and comments increase affinity, this has a positive influence on the reach of any future messages.
So, in the run up to your important announcement, plan a series of updates which have the purpose of trying to increase the affinity between your profile and your followers. Tease the update, ask questions, say something divisive, etc. You need a plan to increase the affinity of as many of your followers as possible.
This should be an on-going plan as affinity is something that will decrease over time, and generally speaking, you want as many of your updates to appear in front of as many of the right people as possible.
We also know that in general, photos tend to appear in news feeds more frequently than normal status update. Well then, perhaps you ought to accompany the release with a series of photographs. Videos and Links also have a higher than average weighting so should also be part of your posting plans.
So, media and assets need to be part of your Facebook strategy. You need to develop a content and asset strategy and a schedule for them. This can be comprehensive or flexible but thinking about what you can do to create updates with higher weight will enable you to interact with a bigger audience. Also, the fact that this type of content is also far more likely to be shared is an added bonus.
If you also know that the more recent your update is, the more likely it is to appear in news feeds, that should have an impact on when your announcement is made to ensure it coincides with your followers logging into their accounts. Explore when you get the most interaction on your posts and try and coincide future updates.
One of the biggest problem I have with most Facebook marketing campaigns is that they look to the number of likes a Facebook Page has the main measure of success.
Although it is very easy to measure, EdgeRank educates us that just because someone ‘Likes’ an account doesn’t mean it will appear in the followers news feed.
This means if you want your messages and conversations to reach your potential customers, you will find a smaller but more engaged audience may lead to more appearances in the feed than a larger but less engaged audience.
UPDATE: If you want to find out more about the secrets of Edgerank and live in the Manchester area then do come along to our next Digital Shorts event, on 18 May.
Kelvin Newman is SiteVisibility's Creative Director and is the editor of the UK's most listened to Marketing Podcast. He also spends his time at conferences, tweeting too much and working on top secret research and development projects. He's also on Google+.
May 9, 2011
Facebook, the massive social networking site, has become a critical player in news. In 2010, all but one of the top sites for which there was referral data derived at least some of their audience through Facebook. The one exception was Google News, whose content links to other sites.
With roughly 500 million users worldwide, Facebook’s audience is vastly larger than any single news organization. Its role has evolved from a network for friends to share personal information to a way for people to share, recommend and link together all kinds of information, including news. If searching for news was the most important development of the last decade, sharing news may be among the most important of the next.
For five of the news Websites studied here, Facebook ranked as the second or third most popular driver to their content. At the top was Huffingtonpost.com, which derived 8% of its traffic from links to Huffingtonpost.com content posted on Facebook. At the low end were AOLNews.com, MSNBC.com and the local aggregator Topix, which each derived 1% from Facebook. The New York Times was near the higher part of the spectrum; 6% of its traffic came from Facebook.
These percentages represent only a fraction of the traffic coming from Google. But they make Facebook an influential and probably growing force. As Nielsen’s numbers show, few domains affect audiences this much. Now, the study suggests, Facebook is beginning to join Google as one of the most influential players in driving news audiences.
FOOTNOTE:1. For more on the social aspects of news, see “Understanding the Participatory News Consumer,” a study conducted by the Project for Excellence in Journalism and the Pew Internet & American Life Project.