Oct
10

Firefox Usage – Does the Day of Week Have an Effect?

Author Ken Kovash    Category Uncategorized     Tags

We know that internet usage (as well as Firefox usage) sees a good deal of fluctuation based on seasonality. We’ve also historically noticed that the day of the week affects usage of the internet (or number of people using the internet, depending on your definition of usage).

Thinking about this latter trend, I decided to quantify this “day of week” effect. Applying regression analysis to some numbers that give us a rough idea of daily active Fx users, I’m able to account for a few factors, including the month of the year and US holidays (“controlling for all observable variables” in statistical speak). Here’s what I found:

day_changes

If there are any stats fans reading, please let me know. I’m happy to go into further detail regarding my regression model, the regression coefficients, t-stats, etc. For everyone else, there’s an easy way to intrepret these findings. Guessing the number of daily active internet users on Fridays as 400 million, we can estimate the day-to-day change in internet usage during a typical week:

internet_pop

I wonder if comScore, Nielsen and other measurement firms see similar usage patterns…

5 Comments to “Firefox Usage – Does the Day of Week Have an Effect?”

  • Seamus October 10, 2007 at 11:19 am

    I have seen a very similar trend for websites I manage. It falls, really falls, every weekend and it spikes high on Monday.

  • Mike Beltzner October 10, 2007 at 11:40 am

    I wonder if we should be interpreting Monday – Saturday = Core Geek/Nerd Audience for Firefox? :)

    Is there any way to further slice within days for “at work hours” and “at home hours” (adjusted for locale, I guess?) I can see how that might be more difficult.

    What’s the best way to draw inferences from this data and then test them further?

  • kkovash October 10, 2007 at 3:44 pm

    Mike,

    Thanks for the questions. We should eventually have the ability to drill down into the data as you suggest… unfortunately, we don’t quite have the internal resources to do that slicing.

    In terms of drawing inferences from this data, the analysis was actually intended to simply help with some forthcoming funnelcake findings… I just thought it was somewhat interesting as a standalone topic.

    Ken

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