Doeas anybody know that Google Analytics would have changed search engine optimization reports?
I remember that I have seen there long time reports, but after this summer it semmes like it only shows us past 3 months of data. It changes from day to day, older data disapers after day. and only 3 months shows up there.
Any ideas why?
The Search Engine Optimization reports in Google Analytics are populated with data from Google Webmaster Tools (GWT). You can only view 90 days (3 months) of historical data in GWT, which explains this behavior. More info here:
https://support.google.com/webmasters/answer/35252
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I´m on homepage of Google Analytics, and when i click to show today data, its not load (and not show) today data.
I tried to delete the cache, im not using AdBlock and nothing else which could cause this problem.
If you are using the free version of Google Analytics, you typically need to wait at least 24 hours before data will start populating in GA. See this question: How long does it take for Google Analytics Goals to start show some data?
Most of the times it will show you the live data in reports(may be few mins delay)
Click on the Date Selecton on the top right corner of screen, then in "Date Range" select "today". It will show the latest data.
But the official time suggest by Google Analytics is 24 hours for free GA users and 4 hours for premium GA 360 users
We are having some issues pulling yesterday's Google Analytics data from BigQuery. Can anyone explain at what point a previous day's GA data is finalized?
There is some explanation here of the intraday tables, but it's not very clear:
https://support.google.com/analytics/answer/3437719?hl=en
To get previous day data do you need to need to use the intraday tables at all? Do you have access to the fully processed dataset at 8am local time? Or is it 8 hours after the current day UTC+14:00 (etc)?
I had a similar question and asked their support, this is the reply:
"According to this Google Analytics documentation , it states that '1 file will be exported each day that contains the previous day’s data, and 3 files will be exported each day that contain the current day's data'. In such, the minimum time that the data from Google Analytics to be exported to BigQuery was 8 hours. Although Google Analytics can be linked to BigQuery, the availability of data depends on how it was served by Google Analytics 360."
But based on experience, it's really a minimum time. Sometimes there are delays of 4-5 hours.
My team has been pressing Google's support for providing SLA's for BigQuery dump, so they updated the documentation:
This feature is not governed by a service-level agreement (SLA).
In practice we are experiencing regular delays anywhere between 2 to 12 hours.
Before Tuesday, March 14th, we saw the data lag in Google Analytics at approximately 1-2 hours. (It was never immediate.) You can see this effect on the Conversions > Ecommerce > Overview page if you search by date and select "today" to "today" (1 day's worth of data)
As of Tuesday, March 14th, we started seeing the lag for this overview report anywhere from 8-12 hours, with an inconsistent aggregation time. For example, it is now 4 PM here on the east coast (EDT), and here is a screenshot of our GA overview tab (I have obscured the revenue number for our privacy). As you can see, there are no numbers after 6:00 AM.
We saw this same effect yesterday (about 8-10 hour lag), and the following day the overview report seemed to fix itself (catch up with all of the aggregated data).
Now, what's more interesting, is that if we either A) Add a "Secondary Dimension" or B) use a "Custom Report", we can see all our data near real-time. For example, if I switch into the Ecommerce > Sales Performance report, then add a Secondary Dimension of "Hour of Day", I can see all my data through 2 PM today (about a 2 hour lag as it is now 4:22 pm as I am writing this)
[
Note that to replicate this I sorted the "Hour by day" column by descending order (showing most recent first.)
Our questions are:
(1) Does anyone know why searching by Secondary Dimension or Custom Report shows us the data in more real-time than just looking at the overview report?
(2) Can anyone else confirm that what used to be a 2-3 hour delay now appears as if it is a 8-12 hour delay, starting on or around March 14th (possibly a few days earlier, this is the first day we can remember seeing this effect)
We are using Universal Analytics (with Enhanced E-commerce) implemented via the newer analytics.js. We are NOT using the older ga.js (we moved away from that about a year ago.)
We are not a GA 360 customer, just a regular free account.
From Google Analytics Help Center article.
Processing latency is 24-48 hours. Standard accounts that send more than 200,000 sessions per day to Analytics will result in the reports being refreshed only once a day. This can delay updates to reports and metrics for up to two days. To restore intra-day processing, reduce the number of sessions your account sends to < 200,000 per day. For Analytics 360 accounts, this limit is extended to 2 billion hits per month.
What it means is that for Standard accounts up to 48h delay is normal, if you have more data it can take more if you have less data it can be faster.
Regarding your observation that certain reports load faster than others this is linked to the design of Google Analytics Backends. Google will generate pre-aggregated tables with common reports to speed up consult and that sometimes can takes longer to process. Other non-common reports can't be answered by aggregated reports so it can be responded by a different backend that already has fresher data. So it is considered normal to see different levels of freshness in different reports.
Google Analytics 360 has fresher data of course.
This other table from the HC article highlights some of the differences and has more info.
I've been using a SSIS Integration component to download data from Google Analytics in order to keep an historical view of some websites and track the evolution of them. Basically the metrics we track are Visits (now Sessions) and Visitros (now Users), and the dimensions are Year and Month. However, today I noticed that the data I downloaded for july had a variation on the Users metric. I heard that google analytics uses an estimation method to "calculate" some (if not all) of their metrics, could it be that after that they "adjust" the data with more acurate information? If so, is this mentioned in the documentation? (a link would be highly appreciated) Since the users are complaining that we are not delivering the real GA Data. I tried looked on the Google analytics documentation page with no luck.
Thanks for your time.
PS: Sorry for my english, it isn´t my native language
If you are using the standard version of Google Analytics (you'll know if you are paying $150k for premium), data is sampled depending on volume. Have a read of this article can-you-trust-your-google-analytics-data
I have seen very slightly differing results being returned if you repeatedly call the api with the same historical parameters repeatedly. In my case the figures only differed by 1-2 over a daily set of several thousand, but nevertheless it differed.
If you want to guarantee your results, consider upgrading to premium
Sampling could be an issue if what you are requesting is over 50,000 rows for the time period you are requesting. To avoid it you can download more often, such as daily.
But I think your issue is that there is a processing time for Google Analytics - if you are downloading at 3 am on the 1st it is probable that the processing for the previous day has not finished.
Google Analytics Premium SLA is for 4 hour data freshness, so even that would have trouble. Pragmatically you should allow 24 hours before you download data for the previous day, 48 hours for e-commerce data.
Thirdly make sure it is not Unique Visitors you are requesting, as this is dependent on the time period you are requesting.
Google Analytics definitely has a problem in statistic display.
I do query with Date range 14-19 jul:
https://www.dropbox.com/s/fim4avm75ohypqs/gatrust2.png
And have 12 transactions from iOS 5.1.1 and 0 from any others versions which is very strange.
Ok, who knows, maybe there is some abnormal users behavior.
But then i do same request, but for 1 day (18 Jul):
https://www.dropbox.com/s/m0q0lvuvzu4svy5/gatrust1.png
Now there is 6 transactions shown from others versions.
I have feeling that i may meet such inconsistencies in Google Analytics in other queries,
where i just do not see exact inconsistencies proof, but feel that provided information is not logical.
Does it mean, that i can’t trust to information provided by GA?
Just use it as some... sandbox tool?
Confused.
Probably the inconsistencies are caused by Google Analytics sampling. When you have a lot of visits, Google Analytics (free plan) only takes only a part of them to show the corresponding stats.
If you look at the first of your captions, you can see in the upper right a box saying: "This report is based on 248.360 visits (8,36% of sessions)". So you are only seeing data from 8,36% of the real visits. You don't know what the other 91,64% did in that date range.
If you want reliable data with such high number of visits, Google Analytics (free) is probably not your best option. You could use Google Analytics Premium (quite expensive, but eliminates the sampling issue), other paid analytics software or some free alternative like Piwik or Open Web Analytics.