I'm looking for a way to get an automated report with my analytics data on (or 1 per website) made for multiple websites. I know there are ways to have a report made for a individual website but I'm looking to get it automatically done for multiple sites. Is there anything currently out there that can do this or am I stuck manually doing it 1 by 1?
Thanks!
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I want to use Firebase Analytics in my website in order to get some statistics for the visitors of each page (I don't want to track user journey in the site). I wanted to define multiple data streams (one for each url) in my google analytics dashboard, but then it warned me with the following message:
In most cases, a single web stream will meet your measurement needs. Using multiple web streams to measure different pages or sites in a single user’s journey may lead to inconsistent results.
in my case-where I want to see the statistics of my site based on its pages (urls)-should I define multiple data streams?
As the message says, it is not necessary to split based on the path in the web site.
You can in the Google Analytics console instead filter based on that path. This gives you the best of both worlds, as you can show stats for a specific path, but also for the site in its entirety.
I ended up using separate data streams in a similar situation where we had a multilingual site with a domain-per-language. The analytics dashboard lets you separate the data by domain, but the tools are bulky and don't seem available everywhere.
In short, creating a separate stream for data that is always going to be viewed separately can be a real convenience, even if it's not "the right way".
The main caveat from the data-streams documentation seems to be that you can miscount data. For instance, a user switching from the English site to the French site will be counted as a visitor on each rather than as a single visit. As long as you're aware of the data implications, you should be okay.
I have been asked to track several existing pages (about 50 in total) and track monthly page views.
So far in GA I have not been able to find an automated and quick way to do this. What GA does quite easily is let you filter based on URL but if I have to do this manually each time I am going to get old, fast.
Ideally want I want to be able to do is create a custom report that spits out monthly page views for select URLs.
Is this possible at all?
I have a client with 2 separate domains. We are combining them into one site with a new site build. I dont want to lose the historical data from the 2 seperate Google Analytics profiles. Is there a way to combine data from the 2 sites without losing any historical data? (One site is an online store and the other is a regular site - we are combining the two).
Unfortunately, this is not possible. You could do a bunch of reporting on your existing data and store that information yourself, but that would be a manual process.
As Philip said, you cannot combine domains while retaining historical data for both. However, you can combine sites with cross-domain linking. I'd suggest checking it out.
I'm implementing google analytics experiment in my website. There are certain queries and doubts I have. Please have a look:
Can we implement two experiment with a same page at a time ? Because to doing this, I'll have to put two experiment code in my original script and its giving me some warnings.
My case is I want to implement A/B Test Variation on two button (iOS App Download and Android App Download) at my website landing page. For this, I've create two goals for each button (Goals are linked with events that I've placed with both button clicked events).
Now for experiment, I've created experiment and selected goal and placed the experiment code at appropriate place.
What about 2nd experiment for other goal ? and how should I create it ?
I hope you clear my concern.
Below is one warning I'm getting while creating one experiment:
Note: Two experiment variations do not appear in the table. More information
The following 2 experiment variations have had no sessions.
I've checked url and everything, but not getting any clue.
Please suggest.
Thanks.
I don't fully understand the warning and the structure of your experiments, but in general you shouldn't create 2 experiments for the same page through the "normal" experiments panel.
For this kind of situations, it is much better to use the Google Content Experiments API (Client-side or Server-side). It is a little more difficult to configure, but allows for several tests in the same page, among other advantages.
If you don't want to do this "complex" configuration, you could use some paid solution like Optimizely or VWO (they include multivariate tests, which could be better for your use case than A/B tests).
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I was a happy customer of Google Analytics starting from the Urchin times. But something strange happened a few months ago and GA started showing a fake URL called "(other)" that is credited between 5% and 45% of all site traffic. I've tried filtering out some URL parameters to reduce the number of pages. Currently GA shows only 150,000 pages on my site, which is well below the half million limit that some people are talking about. Still, the page "(other)" is showing as the most popular page on my site.
Is anybody else struggling with this issue? I am wondering whether this could be a scalability issue. My site has been growing over the years, and currently doing 1.25 million unique monthly visitors and over 10 million pageviews. The site itself has around half a million pages. If you are successfully using GA with a bigger website than mine, please share your story. Are you using the Sampling feature of their tracking script?
Thanks!
For a huge website like and I would not use a Free Analytics. I would use something like Web trends or some other paid analytics. We cannot blame GA for this after all its a free service ;-)
GA has page view limits too. (5 Million page views)
Just curious. How long did you take to add the analytics code to your pages? ;-)
In Advanced Web Metrics with Google Analytics Brian Clifton writes that above a certain number of page views, Google Analytics is no more able to list all the seperate page views and starts aggregating the small amount ones under „(other)” entry.
By default, Google Analytics collects
pageview data for every visitor. For
very high traffic sites, the amount
of data can be overwhelming, leading
to large parts of the “long tail” of
information to be missing from your
reports, simply because they are too
far down in the report tables. You can
diminish this issue by creating
separate profiles of visitor
segments—for example, /blog, /forum,
/support, etc. However, another option
is to sample your visitors.
I get about 3.5 million hits a month on one of my sites using GA. I don't see (other) listed anywhere. Specifically what report are you viewing? Is (other) the title or URL of the page?
You can get a loooonnnngggg way on Google Analytics. I had a site doing about 25mm uniques/mo. and it was working for us just fine. The "other" bucket fills up when you hit a certain limit of pageviews/etc. The way around this is to create different filters on the data.
For a huge website (millions of page views per day), you should try out SnowPlow:
https://github.com/snowplow/snowplow
This will give you granular data down to the individual page URLs (unlike Google Analytics at that volume) and, because it is based on Hadoop/Hive/Infobright, it will happily scale up to billions of page views.
Its more to do with a daily limit of unique values for a metric they will report on. if your site uses querystring parameters, all those unique values and parameter variations are seen as separate pages and cause the report to go over the limit of 50,000 unique values in a day for a metric. To eliminate, you should add all the big culprits querystring names to be ignored, making sure however to not add any search querystring names if search is on.
On the Profile Settings, add them to the Exclude URL Query Parameters textbox field, delimited by commas. Once I did this, the (other) went away from the reports. It takes affect at the point they are added, previous days will still have (other) displaying.