Facebook’s Strategy for Acquiring FriendFeed
TechCrunch broke the news today that Facebook is acquiring the wonderful site FriendFeed. There were few cues in either the official Facebook press release or the press release from FriendFeed.
The following is what’s clear to date:
- All 12 FriendFeed employees will be joining Facebook
- Facebook has borrowed many design features and functionality from FriendFeed
- Most content on FriendFeed comes from Twitter posts
- Most discussions on FriendFeed come from popular users
Facebook’s Strategy for Acquiring FriendFeed
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Engineering Brainpower of FriendFeed
- In the first paragraph of Facebook’s press release, they said “As part of the agreement, all FriendFeed employees will join Facebook and FriendFeed’s four founders will hold senior roles on Facebook’s engineering and product teams.”
- Jeremiah Owyang pointed this out as the most likely reason that FriendFeed were acquired.
- Given that Facebook has continually used features like the “Like” button, and a focus on “real-time” streaming, they obviously think that the engineering talent has a great understanding of their customers
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Blocking Innovation at Twitter and Google around Conversations and Replies
- The “reply” functionality on Twitter is not very valuable. Even Twitter has said that replies are “not perfect”.
- Rob Diana at Regular Geek chimed in on a post about FriendFeed being ripped off and said that the real source of innovation in conversation is FriendFeed.
- Organizing the FriendFeed innovations into the Facebook patents makes it easier for Facebook to control the valuable features that users want.
- If Facebook can implement some of the talked about features of Google Wave (like Real-Time and Embeddability) before Google Wave is released, they can better argue in front of an IP or patent court.
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Ownership of Data in Conversations
- The conversations on FriendFeed are more robust and detailed than Twitter or Facebook.
- Facebook could use this data in advertising in two ways:
- Better data to sell to advertisers about what people are saying
- Better data around who are the key influencers in networks to target for a new product
- Additionally, Facebook could use the data to help shape their vision of the semantic web as people tend to have better and more diverse network discussions about the content being shared.
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jgold918
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jgold918
