Colorado Pols Breaks One-Day Traffic Record

21 thoughts on “Colorado Pols Breaks One-Day Traffic Record”

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2. (It’ll be our little secret that I accounted for 60,000 of those page views on Tuesday.)

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3. I wonder what the Post got…

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   1. Ask for statistics.

      They’ll probably give them to you.

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      1. now that would be pretty damn funny, but David would probably get sued.
         

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            1. especially if the numbers suck.

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4. But I’m still curious about unique visitors per month, week, day. I still think this is a pretty insular community that is very active on this site.

   (OK, so I am half those page views. I admit it!)

   🙂

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   1. I don’t know about it being insular but maybe it is more like a local bar for wannabe writers.  You have to provide your own drink and clean up the spills but the conversations are the usual mixture of funny and infuriating that you would find at any bar around closing time.

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      1. First off, even with the context that is very impressive.

         Ok, context. A unique visitor is a unique login on a single computer. I was probably counted as 4 unique visitors (work computer, home computer, iPad, and iPhone).

         Or do you track it by login and de-dup unique cookies for the same login?

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         1. What is it with you pissing in everybody’s lemonade lately?

            Yes, some visitors probably use multiple devices. That’s true of every website, everywhere.

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            1. Don’t mean to rain on your parade – your numbers are very impressive. And I would guess the vast majority of visitors use a single device.

               What would be interesting is to break out the visitors by what percentage visit daily, weekly, monthly, and once. And then on the daily visitors graph it out by time of day.

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               1. but I do know that in some cyber way it would be useful

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               2. If I use my laptop at every Starbucks in Northern Colorado, does that count as 3,500 different unique users, since it’s coming off their server?

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                  1. It depends on how they do it, but usually they drop a cookie in your browser and track the unique cookies. If they used IP address which would count each Starbucks separately, it would then count all users behind a corporate firewall as a single user and that would be a giant undercount.

                     Looking at my cookie files it places 2 cookies on your system personId and filterCookie. My guess is it uses personId.

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                  2. If you could focus on housework you would probably have the cleanest house on the block.

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      2. I am with David. This stats thing is very interesting. I see maybe 60 tops simultaneous users logged in (although Tuesday was a lot higher of course) at any given time, usually 20-30. Many of the same names too (like me).

         That leaves a lot of lookers enjoying (HA!) what we’re writing, but not necessarily either signing up for an account or logging in.

         Are the stats you get granular enough to distinguish anonymous views from log-ins too?

         This is an interesting discussion.

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         1. But I use Webalizer.  It’s pretty common.

            In webalizers, visits (and visitors) are really “sessions.”

            Here are the definitions from the manual:
            

            Hits  represent the total number of requests made to the server during the given time period (month, day, hour etc..).

            Files represent the total number of hits (requests) that actually resulted in something being sent back to the user. Not all hits will send data, such as 404-Not Found requests and requests for pages that are already in the browsers cache.

            Tip: By looking at the difference between hits and files, you can get a rough indication of repeat visitors, as the greater the difference between the two, the more people are requesting pages they already have cached (have viewed already).

            Sites is the number of unique IP addresses/hostnames that made requests to the server. Care should be taken when using this metric for anything other than that. Many users can appear to come from a single site, and they can also appear to come from many IP addresses so it should be used simply as a rough gauge as to the number of visitors to your server.

            Visits occur when some remote site makes a request for a page on your server for the first time. As long as the same site keeps making requests within a given timeout period, they will all be considered part of the same Visit. If the site makes a request to your server, and the length of time since the last request is greater than the specified timeout period (default is 30 minutes), a new Visit is started and counted, and the sequence repeats. Since only pages will trigger a visit, remotes sites that link to graphic and other non- page URLs will not be counted in the visit totals, reducing the number of false visits.

            Pages are those URLs that would be considered the actual page being requested, and not all of the individual items that make it up (such as graphics and audio clips). Some people call this metric page views or page impressions, and defaults to any URL that has an extension of .htm, .html or .cgi.

            A KByte (KB) is 1024 bytes (1 Kilobyte). Used to show the amount of data that was transfered between the server and the remote machine, based on the data found in the server log.

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