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    The Facebook Algorithm Demystified: How to Optimize for News Feed Exposure

    by Paul Ramondo / May 31, 2017

    social media how toAre your posts reaching fewer people on Facebook?

    Wondering how to appear in more people's news feeds?

    Facebook's algorithm dictates who sees your content and who doesn't.

    In this article, you'll discover how the Facebook algorithm works, and how marketers can optimize their posts for maximum news feed visibility.

    The Facebook Algorithm Demystified: How to Optimize for News Feed Exposure by Paul Ramondo on Social Media Examiner.
    The Facebook Algorithm Demystified: How to Optimize for News Feed Exposure by Paul Ramondo on Social Media Examiner.

    #1: How Facebook's News Feed Algorithm Ranks Your Content

    Adam Mosseri (VP, News Feed at Facebook) recently broke down the four steps Facebook uses to rank your content in the news feed during 2017's F8 Summit.

    He first explained that an algorithm is “a formula or set of steps for solving a particular problem.” He then presented a real-world problem to illustrate how it works; specifically, what to order his wife at a restaurant.

    To find a solution, Adam breaks this problem down into four steps:

    • He checks the menu to see what his options are.
    • He considers all of the information at his disposal (e.g., what does his wife like to eat, is it lunch or dinner time, what's good at the restaurant?).
    • From there, he makes lightweight predictions in his head (e.g., would she enjoy having salmon for lunch today, would it be weird if I ordered her a chocolate soufflĂ© for breakfast?).
    • He then has to consider all of this information and place his wife's order.

    By activating this process, Adam is executing an algorithm in his head. Which is what we all do every day. Similarly, Facebook's algorithm uses four steps to help it decide how to rank your content in the news feed.

    Facebook's algorithm uses four steps when deciding how to rank content in the news feed.
    Facebook's algorithm uses four steps when deciding how to rank content in the news feed.

    Those steps are:

    • Inventory (What's on the menu?)
    • Signals (Is it lunch or dinner time?)
    • Predictions (Would she enjoy the salmon?)
    • Score (Place an order.)

    Inventory

    When you first open your news feed, Facebook's algorithm takes an inventory by looking at all of the stories posted by your friends and the pages you follow (in the same way Adam checked to see what was on the menu).

    Signals

    Facebook then considers all available data and tries to make an informed decision about how interested you may be in a certain story. Facebook calls this data “Signals”. There are hundreds of thousands of them that Facebook considers to rank your content, such as who posted a story, what phone a user is on, what time it is right now, how much bandwidth you have, and so on. (More on these signals below.)

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    Predictions

    Facebook then uses these signals to help make predictions and calculate the probability of certain outcomes; for example, how likely you are to comment on a story, share a story, spend time reading a story, and so forth.

    Facebook looks at a variety of signals to rank content and determine what to show in the news feed.
    Facebook looks at a variety of signals to rank content and determine what to show in the news feed.

    Score

    After making these predictions and calculating the probabilities, Facebook consolidates the information to calculate a “relevance score,” a number that represents how interested Facebook thinks you may be in a certain story. It's worth noting that Adam made a point of stressing that Facebook doesn't really know how interested you are in a certain story; it's an educated guess at best.

    Facebook tries to predict what content users will want to see in the news feed.
    Facebook tries to predict what content users will want to see in the news feed.

    This ranking process occurs each and every time you open Facebook, and ultimately determines what your feed looks like.

    Facebook calculates a relevance score based on a variety of factors, which ultimately determines what users see in the Facebook news feed.
    Facebook calculates a relevance score based on a variety of factors, which ultimately determines what users see in the Facebook news feed.

    #2: The Signals Facebook Considers When Ranking Your Content

    One massive takeaway from Adam's keynote was “the most critical input into what you see in your news feed is who you decide to friend and what [pages] you decide to follow in the first place.”

    This makes sense, as these critical inputs will largely determine how Facebook interprets the myriad of signals it looks at when ordering a news feed that's most relevant to your interests.

    Some of the specific signals that will affect your ranking on Facebook include:

    Who posted a story

    • Frequency of posts from that person / publisher
    • Previous negative feedback on an author

    Engagement

    • Average time spent on content
    • Overall engagement a post already has
    These signals affect how your content is ranked in the Facebook news feed.
    These signals affect how your content is ranked in the Facebook news feed.

    When the story was posted

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    • Friend tags
    • A recent comment from a friend

    Story type

    • Completeness of page profile
    • Posted from a friend or page
    • How informative the post is

    #3: The Predictions Facebook Makes When Ranking Your Content

    Facebook takes into account each user's network of friends, the pages they follow, and the signals above to make a series of predictions and probabilities, namely the likelihood:

    • to click.
    • to spend time with a story.
    • to like, comment, and share.
    • you'll find it informative.
    • this is click bait.
    • this contains nudity.

    This results in a relevance score, and thus a news feed that's unique to every person on Facebook.

    Each Facebook user has a unique news feed.
    Each Facebook user has a unique news feed.

    #4: How to Optimize Your Content for the Facebook Algorithm

    As marketers, you always want your content to be seen by as many people as possible, especially now that there's more noise than ever before. Adam's recent keynote has reinforced just how important it is to create content that's relevant, valuable, and interesting for your target audience. If you don't do this, it's likely you'll appear in fewer news feeds.

    The following list of tips will help you create content that reaches as many news feeds as possible (based on the insights from Adam's keynote above):

    Maintain a Facebook page that minimizes negative feedback from users over its life span. Proofread your copy and double-check your links before posting to your page.

    Create content likely to elicit positive feedback from your audience, in the form of positive comments, likes, or reactions, which are now weighted so they affect post ranking slightly more than likes.

    Facebook reactions affect your content ranking slightly more than likes.
    Facebook reactions affect your content ranking slightly more than likes.

    Publish content that promotes engagement and an investment of time from your audience; video content is an excellent option here.

    Post content that's social and shareable, like this visual post from The Awkward Yeti.

    Create content that your Facebook fans will want to share.
    Create content that your Facebook fans will want to share.

    Create posts that are likely to result in your audience liking, commenting, and sharing with their friends. This post from Silverwood Theme Park was shared over 500 times in just 6 hours.

    Facebook content that receives lots of shares and likes will reach more news feeds.
    Facebook content that receives lots of shares and likes will reach more news feeds.

    Create posts that are likely to result in people clicking on your links, photos, copy, videos, and other content. This post from Travel & Leisure prompts anyone who's looking for a good deal on an island getaway to click and learn more.

    Maintain a consistent content schedule.

    Publish Facebook content that will result in clicks on links, photos, videos, and more.
    Publish Facebook content that will result in clicks on links, photos, videos, and more.

    Build an audience and following that are relevant to your overarching goals as a business, and create content that maps to those goals. You can check the makeup and interests of your Facebook page's audience using Audience Insights and selecting the People Connected to Your Page option.

    Research your Facebook fans demographics, interests, and behaviors using Audience Insights.
    Research your Facebook fans' demographics, interests, and behaviors using Audience Insights.

    Tactics to Stay Away From

    • Don't create content that misleads or misrepresents itself to users (i.e., no click bait).
    • Don't create content that violates Facebook's Terms & Conditions (e.g., no nudity).

    Final Thoughts

    Remaining visible in the news feed will continue to become more challenging as the amount of noise on Facebook continues to increase. That's why it's now more important than ever to focus on creating relevant content that your audience will welcome in their news feeds. If you can continue to give your audience content they find relevant and enjoyable, it appears Facebook will continue to show your content in their news feeds.

    What do you think? What are you doing to improve visibility in the Facebook news feed? Please share your thoughts in the comments below.

    The Facebook Algorithm Demystified: How to Optimize for News Feed Exposure by Paul Ramondo on Social Media Examiner.
    The Facebook Algorithm Demystified: How to Optimize for News Feed Exposure by Paul Ramondo on Social Media Examiner.
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    Tags: Facebook

    About the authorPaul Ramondo

    Paul Ramondo teaches entrepreneurs how to generate leads and sales using Facebook Ads and digital marketing funnels. Click here to download his latest Facebook Ads Case Study.
    Other posts by Paul Ramondo »

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