A quick check of visitors statistics show that from September 1st to December 1st one of my old blogs got much of the site's traffic. A post called Hiking Manhattan, Part 1 from 2008 was suddenly very popular. In October it accounted for a quarter of all of the traffic on the blog. When I looked it over, I saw that it was just photos from from that year's hike tip-to-tip of Manhattan. But I was puzzled how search engines and visitors might get so excited since it has very little text. At least I was puzzled until I saw two of the photos. Can you spot them?
Here is a graph of traffic for Sept, Oct, Nov showing the sudden popularity and then unpopularity of this entry. The absolute highest peak was October 14th when it got over 400 hits.
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4 comments:
I assume all the hits were viewing Zucotti park photos.
BtW, I am a Luddite - I can use Google analytics to generate the same blog statistics, but how did you copy and paste that into a post like that?
I just checked my stats for the year. I have a very consistent pattern of 175-200 visitors per day (weekdays), which drops off significantly over the weekend to lows of 50-75 range. Obviously, my target audience is viewing my site from work (dominate locale is Trenton, as to be expected)..
The visible peaks for the year, my 2 highest days were 305 (on 9/16/11) and 225 on 12/6/11.
Similar to how your traffic spiked likely due to interest in Zuccotti (maybe found via search engine), my two highest topics could have been triggered by key words.
On 9/16, the post was titled "Christie Bowing to Koch Brothers on RGGI" - both Koch Brothers and RGGI are hot words.
On 12/6, my topic was "Occupy Pompton lakes" - again, a hot word for the search engines out there.
Those 2 days are significant deviations from a constant pattern of regular readership, so I assume the hot topics or search engines generated the increment in traffic.
One more question:
Do the Google analytic data on visitors count the registered users?
I have a lot more registered users than hits.
I captured the graph as a screen grab and then posted that image. It is also worth clarifying that the graph is the hit count for just that one page.
As for your other questions, I have no good answer. Analytics doesn't seem to have good documentation.
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