What would be the easiest way to get a report on Google Analytics containing authenticated users ordered by the last login time (the latest login first)?
We are already using Event logging with Category "User", Action "Login" and Label set to user ID (a GUID). Is it possible to base the report on this data?
UPDATE 5-Dec-2018:
As a reference, we have a Custom Report for top logins:
This shows:
Now, I would like to change 'Hits' to "the last time the event occurred", with the given Event Label.
You can create a custom report with the event label ordered by date and time. Though the default implementation in GA only gives you up to the hours I believe. If you want more granularity, I think you'd need to create a custom dimension with a timestamp to the second/millisecond and capture that data front-end.
Related
After creating a report using the Explore (Analysis) tool on Google Analytics, we've created a report for all the users that have triggered a specific event. but once we click on that user to view his User's Activities, we found the following issues:
Numeric Event Parameters are being shown with 6 extra zeros. (i.e. actual value=5, shown value=5000000).
It is not showing all the Event Parameters that we are sending with the event
2 notes that should be mentioned:
at the same time, we've checked BigQuery for those records and saw that the number event parameters values are correct (without zeros) and all event parameters are being stored correctly.
the numeric Event parameter has been registered as Standard
I am trying to track the number of email opens of a mailing.
This mailing is not personalised, so each receiver will get exactly the same email contents.
So far I have found out that I can add a tracking pixel in the mailing, which will send data to GA that a user opened the mail (images were loaded).
Example code:
<img src=”http://www.google-analytics.com/collect?v=1&tid=UA-XXXXXX-X
&cid=EmailOpenTest&t=event&ec=email&ea=open&el=EmailOpenTest
&cs=newsletter&cm=email&cn=Email&cm1=1″ />
'tid' will be our custom tracking ID.
This all works, as when this link is opened the total number of hits increases.
But my question relates to parameter 'cid'. For testing purposes, I have set this here to "EmailOpenTest". But this should be a random/unique ID per user actually. But as the mailing is not personalised, I wonder if it would be possible to track individual users?
Does this mean I have to include javascript in the mail? Would that even work in all email clients? Or are there other options?
All suggestions are welcome.
Assumption: you are using a mail client like Mail Chimp
Assign a unique id to every email on the email list. lets say this unique id is uid
Create a custom dimension in GA, lets name it as Client Mail Id with index say 1
Create the same pixel just like you have created above in the OP.
Add a custom Dimension in the hit as
http://www.google-analytics.com/collect?v=1&tid=UA-XXXXXX-X
&cid=EmailOpenTest&t=event&ec=email&ea=open&el=EmailOpenTest
&cs=newsletter&cm=email&cn=Email&cm1=1&cd1=uid
In place of uid, you actually need to pass the mail list unique id for that email
How it will work
Once the user sends this hit, your unique id will be recorded in custom dimension 1.
Generate a custom report in GA with event category=email & event action=open and add a dimension custom dimension 1.
All the id's displayed there have actually opened the email ;)
PS: It's tried and tested, so won't cause any issue. Also if you don't want to use custom dimensions, you can also send this id in event label or event value
PPS: In any mail client, getting unique value for that email is pretty easy. You can actiually use its position number or add another column for the unique id, then grab that id win the template
The cid is the clientId, an identifier that is used to aggregate pageviews into sessions, and sessions into unique users.
The way to use that in email-tracking would be to capture the client id when a user subscribes to your newsletter and then insert it into the email links. Since your mails are not personalized this will not work.
If you use a random ID you will not be able to link the request from the mail to an existing user. So one way to deal with the problem would be to ignore it - using a constant userId would still give you an event count (the unique events metric might be a little of if users click the link multiple times within a session lifetime).
If for some reason you absolutely need to track these as different users you can set up a redirect - do not send data to ga directly from your mail, instead call a script on your server that inserts a random clientId and then sends the data to Google.
I have been tasked with using Google Analytics to report of use of a desktop app so we can see which parts of the program are being used and how heavily, and potentially also see which companies are using which parts of the program (each company has a unique companyID). Ideally I'd like to be able to look at correlations (e.g., How many users who use report A also use process B?)
I currently have my program set to fire off a call to analytics. I've set it up to use the event tracking, but I'm open to app/screen tracking or something else if something would work better. I'm passing values like
v=1
&t=event // Event hit type
&tid=UA-XXXXX-Y // our ID; real code has valid value here
&cid=12345 // CustomerID
&ec=JobFinancialReport // Event Category
&ea=Run // Event Action
&el=Manager // Event label
&ev=7 // Event value
What I can't figure out is how in Google Analytics to set up reports that would show me something like:
CustomerID Category Label Total Hits Unique Users
12345 JobFinancialReport Manager 27 2
12345 MarketingReport1 Manager 6 4
I'm totally new to analytics so pardon my ignorance if I have some key misconception here. I've searched Googles sites and other questions here, but I may be wording my question incorrectly so I'm not finding something that's there. This is only one example; in some cases we might want to see how broadly each customer is using the program; in other cases we'd want to take the customerID out and just see how much a particular report is being used overall. Appreciate any guidance. Thanks.
The "cid" parameter is the client id, the value that is used to stitch single interactions into sessions and users.
The first problem that comes to mind with your setup is that the client id is not exposed in the user interface (with the single exception of the user explorer report) or the API.
You would need to implement this via a custom dimension (probably user scope, since it probably will never change for a given user) where you pass in the client id (you still need the cid parameter).
Then you could create a custom report (or create a report in Google Data Studio) with the custom value as primary dimension and your selected metric.
If you want to report "Unique Users" you would probably need to create a cid per logged-in user (if all users of the app have the same cid then you will always have but a single user reported). You should then probably create a second custom dimension for the company id, so you can segment your reports by company.
you can use custom reports in google analytics to get your desired output. here is how to create custom reports https://support.google.com/analytics/answer/1151300?hl=en
I have a variable that's being laoded on my page and then being reported back to GA via the event tracking api. Is there a way for this "event" to be associated with the flow of an individual session?
For example: If I have a variable that gets reported as "eligible", can I then associate this event with the session and page flows?
Yes, you can create an advanced segment. That is a way to filter sessions (visits) according to certain criteria. In this case, your criterion would be "Include: Event Label = 'the name of the label of your event'".
Note that it is against the terms of use of GA though to report data on an indidivual basis, i.e. it is not allowed to create an event label that allows you to identify each single session.
As an example, the code I have to embed has an ID of the form: UA-3235632-1, but to use the data export API I need the ID from the URL of the proper page, in this case: 6270018.
How do I get the real ID from the UA type ID?
That feature of the the GA Data Export API could indeed be a little more clear.
Here's what you need to do:
login to the GA Browser and in the
upper-right-hand corner drop-down
menu, select your GA Account of
interest (assuming you have more
than one--if you don't then you are
already on right page). The page
that renders will be the Website
Profiles for that Account. Find the
row in that table that corresponds
to the Profile (Report) you want
retrieve data from and click on the
next-to-last column Edit;
The page you'll see now will say
Profile Settings in the upper
left-hand corner. Just under that,
in smaller font, you'll see Profile
ID followed by a string of digits
(probably six to eight). This is what you want
(in the python client for the GA
Data Export API, it is referred to
as TABLE_ID)).
To retrieve this parameter (TABLE_ID) programmatically, the GA Data Export API Account Feed returns this value to you in the dxp:tableID field. In particular, an Account Query will return the list of profiles under that Account to which you have access; each Profile will have a tableID in the field i mentioned just above.