BlogWorld panel on Facebook News Feed Optimization
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May. 25, 2011•0 likes•4,121 views
BlogWorld panel on Facebook News Feed Optimization
May. 25, 2011•0 likes•4,121 views
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Slides from a panel on Facebook News Feed Optimization, held on Wednesday, May 25, 2011 at BlogWorld & New Media Expo in New York City. Moderator: Bryan Person, LiveWorld Panelists: Helen Todd, Sociality Squared; Chad Wittman, EdgeRank Checker; Dennis Yu, BlitzLocal
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BlogWorld panel on Facebook News Feed Optimization
- 1. Why Facebook News Feed Optimization (NFO) matters to marketers Bryan Person * Helen Todd Chad Wittman * Dennis Yu #NFO #BWENY
- 26. Affinity – Weight – Time Decay
- 27. Affinity – Weight – Time Decay Comment Share Photo Video Wall Post Like
- 28. Object Weight Rosetta Stone
- 29. Object Weight Rosetta Stone, Gordmans, Lane Bryant
- 30. Affinity – Weight – Time Decay
- 31. Time Decay
- 32. Athletic Shoes brand Energy Drink brand Time Decay
- 34. User User Profile Increases News feed impressions 3 6 7 2 5 More interaction increases Feedback % 1 Friends User likes the page Get on the News Feed Get on Facebook Suggested Pages News Feed Optimization 4
- 35. R = 0.96 Lady Gaga Barack Obama Rihanna Period: 4/21 – 5/21/2011 Top 24 Facebook Pages
- 36. Gordmans
- 37. Lane Bryant
- 38. More interactions = more NFO coverage
Editor's Notes
- The user’s affinity , or relationship, to the friend or Facebook Page that published the content. Users build affinity to friends and brands by interacting more frequently on their Walls with comments, Likes, shares, and tagging.
- The weight for any piece of content. The more comments and Likes to a post from other friends and fans, the higher its weight. Content type — status updates, links, photos, videos, etc. –is also part of the equation.
- Great work! Now we just need some industry benchmarks on fan counts, posts, engagement rates, etc...
- But unless you understand the mechanics of the Facebook system – how ads and apps work together to drive traffic, then interpreting metrics like Post Quality Score, Edge Rank, Feedback Rate, action rate, conversion rate, CPC, and so forth – does it really mater what reports the tool generates? Does it matter how many ads your PPC platform can dumb multiply in the hopes that one of those ads shot into the dark will succeed. Or does it matter how many apps are in the software company ’s library, such that you can compare who has the most features?
- In regression, the R 2 coefficient of determination is a statistical measure of how well the regression line approximates the real data points. An R 2 of 1.0 indicates that the regression line perfectly fits the data.