Facebook Dip Seasonal, Here is Why!

22 thoughts on “Facebook Dip Seasonal, Here is Why!”

  1. Since all the measurement panels (Comscore, Netratings, Quantcast, Compete, Hitwise) share this same home-bias flaw, all of these panel measurements will show the same flaw.

    Direct measurement is really the only way to solve this problem.

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  3. Thanks for researching this weird dip.
    In Israel, Facebook has become extremely popular in the past month or two. Everyone’s talking about it, and some bloggers that objected FB publicly have also joined in…

  4. Quantcast’s claim that the comScore panel has a home bias is nonsense. comScore’s panel includes home, work, and university audiences and each sample is weighted and projected according to the size of the respective Internet population.

  5. Also keep in mind that as students return to school, Greek rush week events occur. At UCSD at least, all of the girls in the Greek system disable their Facebook accounts and set MySpace privacy to maximum during the week due to Panhellenic regulations. I’m pretty sure this has quite an effect.

    Also, look for the drop when people disable Facebook accounts for Lent. (This is noticed internally, though the outward effect on stats may be minimal.)

  6. Question? Do these statistics companies still only using ie to collect their data? How would many college kids going from their parents pc to their new shiny mac that runs safari/firefox effect these numbers?

  7. Gotta love the guy who offers the greek week explanation. Dude there are not enough greeks in Greece to account for that drop.

    As I mentioned on your previous post. Why are you comparing a chart of ‘total uniques’ with a chart of ‘US market share’???

    These graphs are two completely different animals. Social sites don’t take as much of a summer hit as the net in general so the broad based net pick up at the end of summer last year showed a drop in FB market share. Yet they still increased total uniques last year. That’s not the case this year.

    Nice try with byzantine quantcast explanation, why don’t you stop rationalizing and just accept multiple independent streams of data from other sources that agree with dip??

    So… you were wrong.

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