New to Google Analytics and couldn't figure out how to get this to show.
I would like to figure out how frequently a user visits our site after they've registered. The reason is I want track their engagement following their registration.
So let's say user registered at week 0, I want to figure out how many times they come back in week 1, week 2 and week 3. This way I can tell whether users tend to stay engaged for first 2 weeks, then slowly loses interests, or their interests grows as the weeks goes by after they've registered. Any idea on how to achieve this?
Thanks!
Set a custom variable at visitor level when your users register. Use that to build a segment for visitors that have at some point registered at your site. Apply that segment to the "frequency and recency" report (audience->behaviour->frequency and recency).
The custom variable will allow you to recognize visitors that have registered (even if they are not currently logged in) until they change browsers or delete their GA cookies.
Related
Does Google Analytics have enough information to answer the question of how much time have my top 100 users spent on my site? I don't need their user information, I don't care about ID or name which I know it doesn't even have. Just the identification of individual users by the cookie GA uses, and a report of how much time the top 100 loyal users spent on my site.
is such a thing possible at all with GA?
From your comment on Colwin's answer:
I don't need google if I have to track this for GA, I just hoped it already has this information such as "page visit duration" on a per-user, ongoing basis. If I had to feed Google that information myself, I can feed my own database and run analytics on it. Thanks anyway.
The Google analytics sessions is
a group of user interactions with your website that take place within a given time frame. For example a single session can contain multiple page views, events, social interactions, and ecommerce transactions.
Average session duration will be calculated as
total duration of all sessions / number of sessions
I don't think this is available from GA out of the box. But you can build something like this with Custom Dimensions available within GA
This will let you setup and send custom metrics dimensions for users that you can then create reports for.
Google Analytics doesn’t allow you to out in PII but random visitor id's should be fine. You can then compare against your own database outside of GA if needed too.
This will allow tracking the same visitor even without them being logged in to your site.
Sending the custom dimensions could possibly look like this.
ga('send', 'pageview', {
'dimension5': '1234567890'
});
You get 20 free custom dimension slots with GA and 200 with GA 360 -> More info here
I think this article has what you are looking for
https://webanalyticsguy.com/2018/01/18/google-analytics-capture-client-id-reporting-purposes/
It shows how to capture the client id which is a decent way to track a specific user. And goes further to explain how to associate that with a metric, in this case the author uses PageView.
You could change this to Average Session Duration or another metric that gives you a sense of time spent.
I guess that you are looking for something like this:
http://www.analytics-ninja.com/blog/2015/02/real-time-page-google-analytics.html
You can get the counts of the users on your site. You can get the seconds they spent on your website page.
I guess this answer will be helpful too: https://qr.ae/TWpkI0
I’m wondering if anyone can help me. I’m currently working on a project which involves trying to understand customers who have abandoned one of the stages within a checkout but then returned to the site at a later stage and converted. I would then break this down to the number of days before they returned. I’ve tried creating segments however the data doesn’t seem to be making sense. Has anyone any idea how I’d go about this? Is this even possible in GA or is this something I can only accomplish in BigQuery if at all?
Your help will be very much appreciated.
Google Analytics(GA hereafter) is counting a visitor as a new or returning user by persisting cookie values in client side(in the browser). So once a user is visited, It stores an id which is specific to that user (actually this user means the browser which had been used to visit the website). So when a user visits the site for the first time, GA will store a specific id in a GA related cookie in the client side. If the user visits the website again later in another session, then GA check if there is a client.id for that user stored in the client side. If it found then that user is count as a returning user or New user otherwise.
In Google Analytics, goto Audience -> User Explorer. In there you can see an aggregated view of each user(client.id) interacted with your website and clicking on one client.id will show each user's activities with the website(differentiated by sessions) and will show all the sessions related to that user with the information like time, URL and some other dimension values.
Also if you want to separate out New users or Returning users from each other, you can create a new segment with a condition checking for the User Type dimension against the values "New Visitor" or "Returning Visitor".
To measure returning customers after an abandonment and converted, you can create a segment as follows,
It seems that it's not possible in GA.
There are no metric like "Days between abandoned funnel and conversion" (only "Days before transaction" - between acquisition day and transaction day). So you need a date for abandoned funnel and a date for conversion separately: i.e. you need two reports.
I know solution, but Excel or smth like this is needed if you want to calculate days before conversion.
At first you need to have Client ID as a custom dimension.
Then create custom report contains dimensions Client ID and Date and metric [Your Goal] Abandoned Funnel (Goal with Funnel needs to be set).
And the second report - Client ID, Date and [Your Goal] Complection.
And to merge these tables using Client ID parameter.
I would like to track the conversion rate of visitors to my application. Most of the traffic is already paying customers. Paying customers hit the home page, but also pages like /dashboard, /login, etc. They also have an UserId set in analytics. Prospects only hit the home page and sales pages. I have no problem creating traffic segments for Users vs Prospects.
I have segments All, Users and Prospects. All is everyone, Users are anyone who has UserId = Assigned, or visited the /dashboard, etc, and Prospects which is basically the opposite of users, ie traffic that hasn't hit the dashboard, or have a UserId assigned.
But it seems like Google Analytics has a fundamentally flawed, because there is no way to get a true conversion rate of only Prospects. That is because the moment they convert they turn into users. So by definition the number of prospects that have converted is always zero.
I can manually calculate the conversion rate by using the number of prospects in a given week, and the number of conversions (signups events), but there is no way to show that in the system. I can show the conversion rate of all traffic, but that isn't very helpful because most of it is already users who will never convert again.
I assume I am missing something. Any pointers would be helpful.
You could create a custom dimension (session scoped) for anyone that you do not have a user ID for. So before your pageview your code could look something like
var userID = getUserID()
if(!userID){
ga('set','dimensionX','Prospect');
}
The point is that the dimension would only be set when you don't have a user ID and so once a user converts and they now presumably have a user ID the dimension stating they are a prospect will be retained for the remainder of their session.
docs on custom dimensions
https://developers.google.com/analytics/devguides/collection/analyticsjs/custom-dims-mets
I am stuck at point and don't know how to go ahead. The scenario is -
I am tracking the visitors flow and registration on my website. I have also created different funnels and goals for the same.
Note - after coming to my website, there are 3 other ways through which a visitor can register on my website and I have created separate funnels for those flows.
Secondly, all registered users(through all funnels) are getting approved by the admin at the back end. I am separately able to capture that data in an event and hence created a goal for the number of approved users but still don't know through which funnel they registered and got approved.
My question is " How can i track and show the numbers in GA that the approved user is coming from a particular funnel/flow. For example - 4 approved user came through funnel A, 6 came through funnel B and 2 came through C."
Is it possible to show in GA?
Create custom segment: https://support.google.com/analytics/answer/3124493?hl=en
which includes users that have reached goal.
Then you can get Acquisition reports for this segment.
Suppose I have 65 people that register on January 1, 2012.
I want to find out how many of those 65 people returned to the site that same week. (More generally, if n people signup on date A, I want to be able to find out how many of those n people return in a given date range.)
Is there a way to do this using Google Analytics? If so, how? I am currently getting the user's username for each page hit.
If you only need to track people who sign in then you don't need to get very fancy. You can copy the relevant user attributes, such as sign up date, from your DB to GA using events or session level custom variables.
But if you want to track everyone, including those who don't sign up, then you'll need to use visitor level custom variables (GA cookies).
I explain how to set this up in detail in this post so I'll just highlight the key points here:
First, decide how to layout the data in Google Analytic's custom variables based on your requirements. For example, are you storing retention dates for daily, weekly or monthly tracking? Do you also want to track cohort goals? Partition this data into the available custom variable slots.
Write the cohort data to these custom variables when visitors arrive or achieve goals using Google Analytic's _setCustomVar function. Setting the fourth parameter of that function to 1 indicates you want to do visitor-level (cookie) tracking.
For each cohort you wish to analyze, create an advanced segment in Google Analytics. Using a regex expression in the condition will give you the flexibility to segment for interesting cohorts. ex: "All users whose first visit was the week before Christmas".
Analyze the results with reports by specifying a date range and the corresponding cohort-sliced advanced segments. Another option is to extract the data using the Google Analytics Data Feed Query Explorer or their API.
Once you've put in the work your new visitors will be stamped by their first visit date and nicely fall into each daily or weekly retention bucket. This is what it might look like if you were tracking weekly retention, for example:
This is not a full solution, but here are some points on how I would approach this problem with the help of Google Analytics:
You have to make sure that you somehow store the registration date of each user, either in your database or in a cookie. Then have a look at Google Analytics Event Tracking. You could for example set up a new category based on the registration date. On every page load in your page, you then have to set up this event tracking call, for example like:
_trackEvent("returns", "2012-01-01", "UserId:123123123")
This way you will receive all page views for users that registered on that particular date. To add a date range in this, you have to make sure that these events only get fired for the number of dates after the signup (e.g. 7 days).
After your date range, you will be able to see how many page views and how many users returned - you even know which users came back.