I am searching for a way to track user behavior on my website. I want to know if it is possible to get a table with data looking something like this:
+------+---------------+-----------------+------+---------+
| time | ip or user_id | user_session_id | link | actions |
+------+---------------+-----------------+------+---------+
(Link - where user came from)
I want to track different user actions by sessions. Is this possible using Google Analytics or I should search other tools? My site is currently set up to track events but on my Analytics account I get only the number of events that occurred. I want to track what a specific user does on my site.
tl;dr: if you must do this use Mixpanel or similar software.
Time based dimensions are already available (date, hour, minutes and datetime). "link" would be referrer. Actions in Google Analytics are basically pageviews, events and transactions, so you have that, too.
IP and user id are a big no-gos. Storing anything that that identifies a person is a violation of Googles Terms of Service and depending on your location might be a violation of national laws.And if by user_id you mean the Google Analytics feature of the same name, Google says you may set it for logged in users and have to unset it for user that log out, so by extension that means storing it in Ga would probably be a violation of their TOS.
The GA session id is not exposed via the interface. You may read it from the cookie and store it in a custom dimension (I'm not sure if this is allowed within the TOS, on the other hand GA premium customers get this via a BigQuery export in any case, so it should be allowed).
If you simply want to tell different users apart you might simply generate a string in the UUID format and store that in a custom dimension. If you want to actually identify users (by name, adress etc), well, you are not allowed to and Google will terminate your account if they find out.
Not to mention that it completely eludes why so many people want to track individual users. You must not use GA information to target individuals, and simply looking at individual user paths will not help you (I wrote an article about that, although I do not expect that this will convince you).
Google Analytics is for technical and legal reasons not a good tool for tracking individual users, if you need to do this use a software that is made for this purpose. Mixpanel is often mentioned in that context but I'm sure there are many other solutions.
Related
I am trying to get to a point where I can identify visitors who are generating website Goals. And identifying them via their Pardot ID-s in GA.
Do you think that's possible?
On the site every visitor gets a Pardot cookie and in that there is a readable Visitor ID which via an API query can be turned into a Pardot ID.
But how can this piece of information get stitched to the rest of the GA parameters? How to push this into GA as a custom data point so I can create a report on who are the Pardot IDs that completed a certain goal this week?
Is there any guidance you can give?
Assuming, that Pardot ID itself is not a Personally Identifiable Information (PII) in terms of Google Analytics, there are several ways to accomplish this.
You could provide this data as User ID, which helps Google Analyitcs to identify users across several browsers and devices. However, this dimension is not exposed on the reporting GUI or the reporting API. (Available dimensions and metrics can be browsed here.)
Instead, or in parallel, you could store this information in a custom dimension, which, can be used in standard or custom reports, or via the reporting API as well. There a couple of things to consider. According to the Measurement Protocoll reference, the maximum length of this field is 150 bytes. You should also decide, if this dimension is most useful for your needs and possibilities on hit, session or user level, about which you can read here.
Due to the nature of my website, it is very complex to get a proper attribution model, cross device tracking is complex but necessary.
I would like to know if it is possible to obtain somehow a users google+ userId whenever he visits my site.
I know there is a feature called UserId where I need to generate my own ID and track it upon a customers visit, but due to the nature of my website, there is very little probability they will log in prior to converting (Fact which will make every cross device interaction useless).
You cannot use a Google ID as the User ID in Google Analytics. The User ID must be private and non PII, i.e. Google must have no way to determine who that ID belongs to. Obviously if it's a Google-based ID, they would be able to tell pretty easily.
The relevant bit from the TOS is paragraph 7 :
You will not (and will not allow any third party to) use the Service
to track, collect or upload any data that personally identifies an
individual (such as a name, email address or billing information), or
other data which can be reasonably linked to such information by
Google.
Is it possible to use a single google analytics account, in particular, e-commerce, for more than user? I fact, I need it to be used for as a lot of users. What I want in a nutshell is this:
The users come to my web site and provide me their e-commerce data in json or any other format somehow. I have a google analytics, so I take that e-commerce data and send to google analytics. And then show them the reports for their data from google analytics by google analytics API (I guess it's reports API?)
The question is not whether or not it is profitable, makes sense, etc. The question is, can I use my, single google analytics account to achieve what I've described above?
Yes you can. Since you need to keep the users apart in a way that does not allow them to look into other users data you can use a single account for up to 50 users, since this is how many data views you can have per account (view permissions can be set at account level)1. Filter the view by hostname (or whatever) to record only the current users data per view.
If you do not need the interface (i.e. if you want to query GA via the api and build custom dashboards) you can have even more - simply store in unique id per user and use that to filter the data before displaying it in a dashboard. So as far as that part of the question is concerned you are safe.
Where things probably start to fall apart is data collection. Is looks like you want to do some sort of batch processing of accumuluated e-commerce data. Since you cannot send a timestamp for a user interaction all dates within GA will be off. Plus you have data limits (I'm thinking of max interactions per minute that you can send), so your insertion process might be not very efficient. It would probably be better to create something on top of the measuremnt protocol that allows your clients to send data in realtime.
1 To make this a little clearer, you can set up 50 entities whith different access permissions. Of course every view can have as many users a you like, but they will all see the same data.
I have asked this question several times over on the GA forum, but no result. So maybe you guys can help...
I have set up google analytics with userIds on various pages of a site, with the aim of identifying exactly which pages are looked at by which users. So, sending GA the string
ga('create', 'UA-39536320-1', {'userId': '1001'});
means GA keeps track of all accesses by user 1001, and I can then (in theory) track all pages looked at by this user.
Trouble is, GA reporting seems to offer no out-of-the-box way of doing this. Indeed, some of the reporting features supposedly enabled by GA with userIds just don't seem to be available (eg coverage; user engagement; etc).
Am I the only one trying to do this? Seems other people have achieved a similar result using custom variables; do I have to do that, and give up on GA userIds?
The userId feature can be used in conjunction with a user id enabled view (profile) to analyze cross device sessions.
As pointed out by DalmTo it is possible to use custom dimensions to track any non PII information about a user. This article here gives a good example combining sending user scoped custom dimensions along with imported CRM user data to analyze and segments users for remarketing purposes.
I have a website that allows people to create an account (that is the conversion I wish to track).
I wish to know where a specific person is coming from. I have google analytics installed and have set up the registration page as a goal, but the reporting tells me traffic sources as an aggregated pie chart. It doesn't report down to the user account level to say that 'person with email xyz' came from 'facebook' for example.
What custom variables or mark up would I need to add to GA to report at that detailed level, if that is at all possible?
Otherwise, I will just have to record the first http_referer in a cookie and stick it in a database during the registration process.
Any advice?
Firstly I must ask you, how actionable do you think it is to look at data at that granular of a level? Finding out what % of people who registered came from facebook or some other place is actionable, because it helps you do things like determine where to focus marketing efforts. But individual users? How is this actionable to you? (hint: it's not)
However, if you are still determined to know this, you should first note that it is against Google's ToS to record personally identifiable data both directly (recording the actual value in GA) or indirectly (e.g. - recording a unique id that you can use to tie to personal info stored within your own system). If this is something you don't want to risk, I suggest moving to another analytics tool that does not have this sort of thing in their ToS (e.g. Adobe SiteCatalyst, which costs money, or perhaps you may instead prefer to choose an "in-house" approach, like Piwik)
If you are still determined to follow through with this and hope not to get caught or whatever, Google Analytics doesn't record data like what info a visitor filled out in a form (like their email address) unless you populate that data in a custom field/dimension/metric/event to be sent along with the request. Usually you would populate this on the form "thank you" page (which is usually the same page you use as your goal url or goal event if you're popping and using an event for your goal). So you would populate the email address in one of those custom variables and then have it as a dimension to break down the http referrer by.