I have been using Google Analytics (GA) for the last few years and now I am planning to use it in more detail.
I have an online quiz on a website (let's say 4 questions) and I would like to track the following for each user: clientId, nationality, Q1 response, Q2 response, Q3 response, Q4 response. I am able to pass all these as Custom dimensions, however, how do I see them in the form of a table with more than 5 dimensions? How can I export the data to excel with more than 5 columns as dimensions? Since I am looking at the data at a "user level", do I need any metrics columns at all?
Is it possible to have more than 5 dimensions in the custom report?
Also, if I have multiple quizzes, can I use the same GA tracker and somehow differentiate the quizzes? Maybe using another hit dimension called quiz name? Or do I need to have multiple tracker codes for multiple quizzes?
Thanks !
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I have a website where the customer can take a quiz to find the right products. I want to track the customer's journey on the quiz, to see what they choose and where people fall off.
The quiz starts at example.com/start/ and for every step they take, the URL "expand" to e.g. example.com/start/first_step/, next step example.com/start/first_step/second_step etc.
I think I can do it with tag manager, by creating events for each step / URL. But my first issue is, that the events get to long. The other issue is, I cant figure out how to visualize the journey in either Google analytics 4 or Google data studio.
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Does any of you have a great idea for how I can do it?
what exactly to you mean saying "the events get to long"? Do you mean the requests payload to the google analytics server?
Generally speaking, I'd recommend the following:
Create a generic event for all quiz steps
Add two parameter for the progress, one containing the steps name an one containing the index (e.g. "quiz_step_str" & "quiz_step_index")
Send the events to GA4
Visualize them using a bar chart. (https://analyticsdemystified.com/google-analytics/step-step-guide-creating-funnels-googles-data-studio/)
Additional information regarding step 2:
The parameter containing the step name can be generated using js and getting the value from the url. Just scrape the corrsponding part from it (e.g. "example.com/start/first_step/" -> "first_step").
For the parameter containing the steps' index, I recommend creating a lookup table.
I'm looking to download hit data from a Google Analytics view for a small period of time that includes unique ID for a session and URL that was viewed. I believe I could do this going forward by setting something in Google Tag Manager to a Custom Dimension, but I was looking to avoid that (we have a good number of custom dimensions) and because I wouldn't be able to go backward.
Is it possible in the free version of GA to do something like? I picture the output being the URLs in my x-axis and my users in the y-axix with counts.
I'll be looking to take this data and do a cluster analysis to determine user behavior types.
Nope. Google Analytics does not expose a user specific id via the API or via data exports in a standard account (in GA360 you could use BigQuery to extract the client id).
You either have to set up a custom dimension (as you said this does not work for historic data), or try and use calcuated fields in Google Data Studio in the hope that if you aggregate enough different dimensions into one field you will end up with something specific per user.
I have a registration form with default fields and one drop down with 5 values say 1 - 5 And this field is mandetory.
How could i track this values thorugh Custom Variables for successful registered users?
What would be the other options if we cont track this through CV's?
Custom variables are pretty much a thing of the past - Universal Analytics has custom dimensions which are conceptually different and are not very well suited to store form input. Plus there is the danger that the form contains info that can be used to identify a person, and it's against Googles Terms of Service to store that in Google Analytics.
One possible way to solve this would be to create a Spreadsheet on Google Drive and publish it as a webapp to store the form data along with an anonymized ID per user; the same user id would be set as a session based custom dimension in Google Analytics. Using the Google Analytics Spreadsheet add-on or a bit of bespoke Google Apps Script you could then pull the relevant metrics per id into the spreadsheet to create your reports.
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.
Tools like Mixpanel, KISSmetrics and others support cohort analysis out of the box but I've heard that you can do this with a bit of effort in Google Analytics as well. How do you set this up if you want to track, say, the daily and weekly retention of your visitors?
Google Analytics can do a lot but retention analysis is one of it's weak points. Since it tends to focus on visits (as opposed to visitors) you'll need to configure the cookie tracking yourself using Google Analytic's custom variables. Having said that, it's not too hard to get a simple solution running quickly.
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. If you need more detail there's a full walk through on my blog:
How to do Cohort Analysis in Google Analytics.
This really interested me so I did a little research and basically you have to customize the GA javascript in the pages to upload custom variables into google.
Once you have done that you need to go to "Advance Segments in Google Analytics" and select your custom variables. Here is a detailed description on how to accomplish this:
Hacking a Cohort Analysis with Google Analytics