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Trafficbot life google analytics
Trafficbot life google analytics













This data is too consistent to be normal. Doesn’t that seem strange? Normal sites with human audiences should show a variety of devices from laptops to desktops, smartphones to tablets, Macs vs PCs, etc.

trafficbot life google analytics

#Trafficbot life google analytics android#

All four sources have the same pages per session, the same bounce rates, and roughly the same ratio of Android (mobile) traffic - 99%. Taking the top four referring sites (the ones sending the most traffic) you can immediately see a few strange things. In this first example, we look at traffic from referring sites. To make this more tangible, let me illustrate with a few examples from over the years. Botnets are easily programmed to do the same thing repeatedly (too consistent) or to use randomized values (too random) Human behavior, like nature, usually form bell-shaped curves where certain values are common (middle of the bell-shaped curve) and other values are outliers.

trafficbot life google analytics

Look for anything that is too consistent or too random.Human audiences cannot collude amongst themselves to behave exactly the same way but bots can - the same instruction guides all the bots to do the same thing.

trafficbot life google analytics

  • Look for anything that is too high, or too low, like 100% bounce rates or 0% bounce rates.
  • Human audiences don’t move that way, but bots do - a botnet outage, for example.
  • Look for straight lines and abrupt changes, like vertical drops or vertical increases.












  • Trafficbot life google analytics