Facebook Edgerank: The Rules of Threes

Editor's Notes

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2. Photo: http://www.flickr.com/photos/andyhay/239756376/\n
3. Remember this is where the majority of constituents will see your info…. Most will never navigate back to your page’s wall….\n
4. Once a user has clicked the “Like” button, the majority of the Facebook consumption is done through the News Feed. \n
5. Page – official presence for public figures, artists, bands, businesses, places, entertainment, causes, brands, or products to share information and interact with fans on Facebook \n
6. Remember this is where the majority of constituents will see your info…. Most will never navigate back to your page’s wall….\n
7. Photo: http://www.flickr.com/photos/telmo32/4646881661/\n4 different topics that have three arms to each topic\n\n
8. The first Rule of 3 is Facebook Edgerank:“In short, this algorithm decides what is most important on Facebook for a specific user by taking into account which pages/profiles that user frequents, the popularity of it, and most importantly, how recent the post is.” It also considers the “weight” of the post, meaning what objects are correlated with the post. \n\nRead more: http://blog.hubspot.com/blog/tabid/6307/bid/30305/How-Timeline-Radically-Changes-Your-Facebook-Marketing-Strategy.aspx#ixzz1l37pDHfo\n
9. The first Rule of 3 is Facebook Edgerank:“In short, this algorithm decides what is most important on Facebook for a specific user by taking into account which pages/profiles that user frequents, the popularity of it, and most importantly, how recent the post is.” It also considers the “weight” of the post, meaning what objects are correlated with the post. \n\nRead more: http://blog.hubspot.com/blog/tabid/6307/bid/30305/How-Timeline-Radically-Changes-Your-Facebook-Marketing-Strategy.aspx#ixzz1l37pDHfo\n
10. The first Rule of 3 is Facebook Edgerank:“In short, this algorithm decides what is most important on Facebook for a specific user by taking into account which pages/profiles that user frequents, the popularity of it, and most importantly, how recent the post is.” It also considers the “weight” of the post, meaning what objects are correlated with the post. \n\nRead more: http://blog.hubspot.com/blog/tabid/6307/bid/30305/How-Timeline-Radically-Changes-Your-Facebook-Marketing-Strategy.aspx#ixzz1l37pDHfo\n
11. Affinity is dependent on a user's relationship with an object in the news feed. For example, if you don’t interact with a page very frequently or you rarely click on links on an old high school classmate’s profile, their news updates will appear in your newsfeed less frequently than someone you might interact with everyday, such as your sister or best friend.\n\nDo you frequently interact with the person or page? \nHave your friends been interacting with the person or page’s status?\n
12. Weight is determined by the type of object, such as a photo/video/link/etc.\nIf a fan views a video (especially a video uploaded directly to Facebook, then the object will receive a bigger weight than if the post is simply a link. \n
13. The first Rule of 3 is Facebook EdgeRank:“In short, this algorithm decides what is most important on Facebook for a specific user by taking into account which pages/profiles that user frequents, the popularity of it, and most importantly, how recent the post is.” It also considers the “weight” of the post, meaning what objects are correlated with the post. \n\nRead more: http://blog.hubspot.com/blog/tabid/6307/bid/30305/How-Timeline-Radically-Changes-Your-Facebook-Marketing-Strategy.aspx#ixzz1l37pDHfo\n
14. The first Rule of 3 is Facebook EdgeRank:“In short, this algorithm decides what is most important on Facebook for a specific user by taking into account which pages/profiles that user frequents, the popularity of it, and most importantly, how recent the post is.” It also considers the “weight” of the post, meaning what objects are correlated with the post. \n\nRead more: http://blog.hubspot.com/blog/tabid/6307/bid/30305/How-Timeline-Radically-Changes-Your-Facebook-Marketing-Strategy.aspx#ixzz1l37pDHfo\n
15. The first Rule of 3 is Facebook EdgeRank:“In short, this algorithm decides what is most important on Facebook for a specific user by taking into account which pages/profiles that user frequents, the popularity of it, and most importantly, how recent the post is.” It also considers the “weight” of the post, meaning what objects are correlated with the post. \n\nRead more: http://blog.hubspot.com/blog/tabid/6307/bid/30305/How-Timeline-Radically-Changes-Your-Facebook-Marketing-Strategy.aspx#ixzz1l37pDHfo\n
16. Comments carry a heavier weight than Likes, but Likes are stronger than re-shares. \n\n
17. Comments carry a heavier weight than Likes, but Likes are stronger than re-shares. \n\n
18. Comments carry a heavier weight than Likes, but Likes are stronger than re-shares. \n\n
19. Type of Content: Is it a video, photo or link? Did you upload a video directly to Facebook? Did you share a photo album in Facebook’s Photos? Did you re-share someone else’s link? \nType of interactions: Do you comment, like or re-share that person or page’s update? Comments tend to hold \n
20. The last variable is Time Decay, as an object gets older, the lower the value.\n>>Facebook is now concerned with the relevancy of status updates in relation to the amount of time that has passed: For example, if someone goes back and comments on an old photo, the weight of that comment is less valuable than a photo that you just posted. \nFacebook updates are more frequent and your message is also being pushed down in the news feed a lot quicker, which means you need to post more frequently. \n
21. Source: http://blog.hubspot.com/blog/tabid/6307/bid/24507/Shelf-Life-of-Social-Media-Links-Only-3-Hours-Data.aspx#ixzz1hx0QmpE5\nBy calculating what bitly is calling the link's 'half life' (the time it takes a link to receive half the clicks it will ever receive after it’s reached its peak), bitly evaluated the persistence of 1,000 popular bitly links, and found some strikingly similar results.\nThe mean half life of a link on Facebook is 3.2 hours.\nThe mean half life of a link on Twitter is 2.8 hours.\nThe mean half life of a link via ‘direct’ sources such as email or instant messaging clients is 3.4 hours.\nThe mean half life of a link on YouTube is 7.4 hours.\n\n
22. Source: http://blog.hubspot.com/blog/tabid/6307/bid/24507/Shelf-Life-of-Social-Media-Links-Only-3-Hours-Data.aspx#ixzz1hx0QmpE5\nBy calculating what bitly is calling the link's 'half life' (the time it takes a link to receive half the clicks it will ever receive after it’s reached its peak), bitly evaluated the persistence of 1,000 popular bitly links, and found some strikingly similar results.\nThe mean half life of a link on Facebook is 3.2 hours.\nThe mean half life of a link on Twitter is 2.8 hours.\nThe mean half life of a link via ‘direct’ sources such as email or instant messaging clients is 3.4 hours.\nThe mean half life of a link on YouTube is 7.4 hours.\n\n
23. Source: http://blog.hubspot.com/blog/tabid/6307/bid/24507/Shelf-Life-of-Social-Media-Links-Only-3-Hours-Data.aspx#ixzz1hx0QmpE5\nBy calculating what bitly is calling the link's 'half life' (the time it takes a link to receive half the clicks it will ever receive after it’s reached its peak), bitly evaluated the persistence of 1,000 popular bitly links, and found some strikingly similar results.\nThe mean half life of a link on Facebook is 3.2 hours.\nThe mean half life of a link on Twitter is 2.8 hours.\nThe mean half life of a link via ‘direct’ sources such as email or instant messaging clients is 3.4 hours.\nThe mean half life of a link on YouTube is 7.4 hours.\n\n
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25. What’s the answer? \nGive them a clear indicator as to what to do next…\n\n
26. Post a photo that elicits a “Tug a the heart strings”\nAsk people to re-share? \n
27. Ask a question using Facebook’s Poll option: Give a quick response which increases the person’s affinity with your page. Next time, the post might include a photo. \n
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