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I have google analytics set up to monitor websites. I can view the Browser and OS usage for a specific date range. What I am wondering is if google analytics has a way to show how much a specific browser has increased or decreased over a period of time.
For example, the default date range is 1 month. Is there something built into google analytics that would say the usage of IE8 (or any browser) is down 10% compared to the last month (besides doing a manual calculation)?
You can calculate a delta on browsers, sessions, transactions and conversion rate for your site - one could get a statistical inference from that.
Top right hand corner shows the date range. Change it as you want and tick the "Compare to:" box to compare to previous period (e.g. month before), previous year or custom dates and get all the details you are looking for.
Standard part of using GA to be honest.
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One of the company's KPIs is: "have seen +3 pages on the website".
On google analytics, I can see the pages/session metrics. I have tried to create the following segment but it didn't work (see screenshot). I still see pages/session under 3 and the numbers look a bit too low (second screenshot)
segment
pages/session
I not only want to find out how I can see this info in analytics but and most importantly, I want to do 2 things:
Use this information to retarget these users with Facebook Ads
Display this information on a Google Data Studio Dashboard.
Any help with this would be much appreciated. :)
You have to include sessions instead of users, then remove the rules where session duration is equals 1 (it doesn't make sense), so set pageviews >= 3:
In the report the value of Pages / session becomes representative:
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I am using the (wonderful) Google Analytics plugin for Google Spreadsheets and I want a list of New Users month by month. I can easily query all new users from one date to another, but I want them "bucketed" per month. How do I do that?
You have to use ga:month as one of the dimensions and ga:mewUsers as metric.
check this url for google documentation about the dimensions : https://developers.google.com/analytics/devguides/reporting/core/dimsmets
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Recently I read news about Google bought .app, Amazon bought .buy, what does it mean? They own every domain name followed by .app? I can only register with google if I want to have blahblah.app, and they can say no even if no one is using it?
Domain/DNS works with "zones". The "top level zone" in this case being "app". Above that there is only anymore ICANN/IANA.
They can do what ever they like with the zone (according to the rules & regulations made by ICANN/IANA) - they do not have to sell domains within their zone.
Selling domains as what .COM (verisign) does is purely due to that being their business model.
Google or Amazon on the other hand might find other value in owning a TLD/Zone and might rather use it to promote/canonicalize their own projects instead of selling sub-zones.
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We have created two accounts for a single domain. Both these accounts reside in a separate code. There's a huge variation in unique visitors and pageviews (attached) between these two accounts in the standard dashboard. Any idea where we are doing wrong?. FYI: We set up event tracking for only one account where we are seeing more unique visitors and pageviews. Does event tracking inflate UVs and PVs? Since this is a standard reporting not a custom reporting, I guess it must be something to do with page tagging.
Appreciate any help.! Variation in UVs and PVs
Google Analytics is not 100% accurate. I know, it's surprising.
Here's one reference for that:
http://www.clickz.com/clickz/column/2188027/little-google-analytics-matter
Basically, through ignoring some data and "sampling" the rest, Analytics is more like an Exit Poll than a fully traceable Ballot.
To get such a difference, if we assume there is no random element at play in GA, there must be a slight difference in the data the two accounts collect. At the very least, one must be fired before the other. If a small number of users closed their browsers during the page load there would be a difference which would then multiply up with the sampling.
It is indeed also possible that the event tracking will affect the data held. This is speculation but it would make sense that tracked events are less likely to be ignored. It would follow from that that you could massage "raw" Analytics by adding the right Events, and take advantage of the fact that Google Analytics is not 100% accurate. However, massaging two accounts to have the same numbers is nigh on impossible.
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Our software company receives literally hundreds of support requests per day and there's a whole team working on our inbox. How can we gain effective metrics that map directly to our Scrum backlogs?
If we're too specific, the team has too constantly beware of changing metrics, if we're too general, the PO has to sort through too many emails to get reliable priority.
Any ideas?
What do you mean by "support requests"?
Assuming 3 broad buckets:
"How do I do x?" type questions
"This isn't working right" (i.e. a defect)
"It would be really helpful if it did y." enhancement requests
Within each of the categories (you may have more or less than 3, but 3 is a good number to work with), assign some tags that categorize the request. I like to organize the categories as labels for vertical columns, and put a 'flag' for each request in the column. This give a quick and dirty vertical bar chart, and I almost guarantee you'll see a Pareto ratio emerge, wherein 20% of the 'tags' result in 80% of the requests. Now your PO can prioritize among/across the 20% of each of the 3 broad buckets, knowing that they are the high-value ones.
You can keep this as a running exercise.