DISQUS

louisgray.com: louisgray.com: Quantcast Shows Which Services Rely Most on Their "Addicts"

  • Louis Gray · 11 months ago
    Less than 1 percent of all FriendFeed users drive 25 percent of traffic.
  • Louis Gray · 11 months ago
    96% of all FriendFeed viewers drive 67 percent of traffic.
  • Louis Gray · 11 months ago
    There is NO middle ground. You're addicted, or you're not using it.
  • Mr. Gunn · 11 months ago
    As others have mentioned other places, mere traffic is a bad gauge of use. There are some rooms I visit maybe once every two weeks, but even I still find it useful, and would if I did nothing else on friendfeed.
  • Susan Beebe · 11 months ago
    We'll I guess I could be a little addicted ...heheheeee! So what do you call someone whe does 30 visits per DAY? (better yet, never closes that tab!)
  • Robert Scoble · 11 months ago
    Susan: a little? Heh!
  • Susan Beebe · 11 months ago
    Robert you too hehehe!!
  • Louis Gray · 11 months ago
    And 30 times an hour?
  • Susan Beebe · 11 months ago
    oh yeah!
  • Zsolt Balla · 11 months ago
    Hi Louis,

    I assume that sites like Digg, Del.icio.us, let alone StumbeUpon are even more addict-reliant than facebook or twitter or all the likes. It'd be interesting to see the figures of those sites as well

    cheers,
    Zsolt
  • Louis Gray · 11 months ago
    Zsolt, you can look up practically any service on Quantcast, and see
    their addiction percentages.

    Digg would be here: http://www.quantcast.com/digg.com, and so on.
  • kskobac · 11 months ago
    This seems perfectly illustrated by digg's difficulties- they're stuck between trying to turn more mainstream and generate a larger fan base, and making changes that impact the way their hardcore "addicted" users use the sight. You never hear feedback from the passer-by users, but the ardent users speak up vehemently every time something changes.
  • martin_english · 11 months ago
    I'm a bit concerned about the methodology. For example, the web site traffic is a very small proportion of the friendfeed and twitter activity; In both cases, all addicts (and probably most regular users) would be using an application to access the backend data via API (ala twhirl, tweetdeck &tc).

    If something this obvious is not allowed for, what has been missed on other sites ?
  • Louis Gray · 11 months ago
    Martin, Quantcast's methodology can't be any more incorrect than
    Compete and the rest. Twitter's activity is likely more affected by
    external third party apps than is FriendFeed, for example, but you do
    have a point.
  • siteriver · 11 months ago
    As a web developer, I spend quite a bit of time explaining to new customers why they should be using Google Webmaster Tools, Quantcast, and other resources. Thanks for a great explanation of another important use for Quantcast - I will definitely put it on my customer's 'must-read' list!
  • Louis Gray · 11 months ago
    I have been quite impressed, even in my limited testing, of Quantcast.

    Also see Duncan Riley's writeup on the Inquisitr:
    http://www.inquisitr.com/13464/why-quantcast-wi...
  • Anthony Farrior · 11 months ago
    Great post. Quantcast is a very detailed tool. The demographics info is scary! Addicts translates into loyal subscribers and that's a really good thing. I get about 90% new uniques everyday so a litttle more "addicts" visiting my site would be great...
  • Louis Gray · 11 months ago
    SolaceTech, The hardest part is converting your regulars to be
    addicts. With RSS, there are many who likely read your news via Google
    Reader and others without going to the page, so you're likely
    undercounting your addicts who do read you every day.
  • davemc500hats · 11 months ago
    i like the concept of the 3 groups & associated traffic graphs, however i wonder if a simple[r] graph of audience distribution by # of visits would accomplish the same objective more easily.

    seems like looking at one graph of visitors by # of visits is preferable to looking at 3 graphs of the same visitors, somewhat arbitrarily segmented.
  • Offbeatmammal · 11 months ago
    taking the Twitter vs Friendfeed thing (slightly out of context) but I wonder if the wider graph for the former comes with the ease of consumption and access? I can be equally "productive" with twitter on the web, from a rich PC client or from my phone, yet Friendfeed really doesn't have that range of clients.

    Facebook (as another example) is doing really well at reaching out of the browser - great mobile clients (but no desktop clients as such outside of Digsby that I know of) ... I've found as the client touch-points increase I'm more inclined to interact casually (snacking) ... much like my RSS reader helps me consume (and react to) a much larger number of blogs