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0

It could be referred to as a Flash Crowd, especially if it was trigger from a post or article elsewhere linking to your site.


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I've known this as a "spike in traffic". I find such spikes are more caused by robots that try to hack into the server by trying to request specific URLs in a super short time frame (I say about 20 to 25 requests per second). I find when users visit my site, I see no huge spikes at all since most requests total no more than 50 KB to 500 KB each depending on ...


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ADDOS: Accidental Distributed Denial of Service You wanted all those folks to visit, just... not at the same time.


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In my experience we've generally refer to a spike in traffic to differentiate an unexpected or irregular increase from regular/daily peak periods. For example, a website may have peak periods around opening and closing time, but a spike might result from an advertising campaign or news article. In this example, the "spike" is pretty distinctive compared ...


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If you have a sudden influx of users that happens to result in your site being taken down, your site has been given what a Redditor would call a hug of death.


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I would call it a Peak in visitors. This indicates that we're not having a usual amount of visitors, but more. The peak could be a small peak, or a large peak (a spike of visitors). As a unit of time, you could go for Peak Hour/day/period. peaked, peakĀ·ing, peaks 1. Nautical To raise (a gaff) above the horizontal. 2. To bring to a maximum of ...


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If it is caused by users all visiting from a news site, it is called the Slashdot effect or Slashdotting. Slashdot is one of the first internet news aggregators. When they posted a news article, it often crashed the sites they linked to because so many Slashdot users would visit simultaneously. Today the term "slashdotting" can be applied when any site ...


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It's bottleneck or rush hour or even road rage. You can call any from the above or even a custom word based on what amount your website/app gets hit by.


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Regarding the Property and View limit (50 and 25, respectively), there's no way around that, really, so you'll probably have to break up the sub-d's across several properties. So with that in mind, you could have one GTM container across all sub-d's, and then use a lookup table to determine which data from which sub-d's go into which property. Within the ...


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It used to be possible to get that data for organic search visitors, but it isn't anymore. When a visitor lands on your site, Google sends a "referrer" string. Google used to include the search terms in the referrer, but recently stopped doing so. Now you only get that data about 25% of the time. See http://www.notprovidedcount.com/ which tracks the ...


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If I understand you correctly, yes you can do this. Generally, it seems easiest with another UA number, then editing the script a bit to run a subdomain for the tracker. I laid out how to do it here in another question on Pro Webmasters if you are interested: Google Analytics tracking on multi domain environment That should get you closer, assuming there is ...


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Midnight is the logic time to end a session - if there has to be a specific time at which each and every session, no matter how long it is open has to be ended. Even if it might seem stupid to count two sessions for a user visiting from 11:55pm - and leaving after 10 minutes. You might want to count visits per day/week/month/year. An in this case there has ...


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Hm... in theory, you could scrap the data with API and then connect it with specific application. If your apps are hosted somewhere, you can get data from there too. Also, for better understanding which keyword to use etc. there is Google Trends. It lets you enter multiple keywords and filter by location, search history, and category. Once you enter that ...


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Similarweb (and many sites like it) take periodic screen shots of sites. They cache the screenshot for some time before updating it again. That time period may be weeks or months. Here is what it has cached for todaysdate.com. The current date is big enough on that home page that you can tell when the screenshot was taken. The screenshot was taken on ...


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You can set up User Segments for each of the different cohorts. Create a custom segment, and add a Condition for Event Label exactly matches the event you want to see achieved. If your events are sequential and mandate the prior event to occur, you can create a series of segments to build your funnel. An example: Segment 1: All users (100%) Segment 2: ...



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