This may be a possible duplicate of this question, but according to all the Google Analytics documentation I really should be able to pull my list of custom segments.
Since I have a very large list of them, it would be suboptimal for me to manually copy the segment ids over one at a time.
I'm following this walk through. Steps to reproduce:
Create a custom segment using date of first session in your Google Analytics account.
Authorize the Google Analytics guide to access your Google Analytics account.
Try their on-page query tester, and inspect whether your custom segment is there.
One thing I've already ruled out was the user that created the segment. I've manually created a segment with the same user that I'm querying the API with and it still does not show. Is there a flag I need to set somewhere to include custom segments?
Edit:
It turns out that it will list some custom segments, but not ones created with date of first session, so this is a duplicate of this question, which means that there is a bug in the Google Analytics API.
There was a bug which is now fixed. So it is now possible to list the Date of Session Segments in the Google Analytics Management API by calling the segments.list() method.
So after days of trying to solve this one I've come to the conclusion that it cannot be done as asked.
There is, however, another way to do it. For every segment set up a daily (or weekly, etc) email report to a email as a TSV. In each email body specify the name of the segment so when you're consuming the emails you can know which segment the attached TSV is for. It doesn't look like the daily reports were designed with segments in mind, since non of the metadata included in the TSV mentions which segment it is for.
From there it's trivial. Connect to the email address using an IMAP client once a day and update the numbers.
Note that the daily email only contains the numbers for that day (not a specified range), so you'll need to first generate the report one time with the historical data to load in.
While hacky, one nice thing about this approach is that it keeps your reports in sync with your (faked through email) api code (provided you match the column headings in the TSV). So, if for example, a new filter is included into a report, the new daily fields will continue to update.
Unfortunately though, the past data won't be reflected in the change.
Obviously this isn't great, but if you are monitoring daily cohorts it's the best you've got if you need to stay with Google Analytics. I have raised this as a bug to the Google Analytics developers, but I haven't heard back as to whether or not they plan to fix it.
Related
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 pretty sure the answer to this question is "no", but I would like to get a definitive answer from an official source, and also understand what my alternative options might be.
Long story short, my app has old data in it that used to include user email addresses as a GET parameter. Those URLs are showing up as unique page view URLs in Google analytics, like this:
I don't want to be recording email addresses in my Google Analytics account (for privacy reasons), and I have fixed the code that was causing this in the first place, but I also want to delete or scrub the old data that currently exists in Google Analytics.
From everything I've read, it doesn't sound like this is possible without completely deleting the property, maybe even the account?
To be clear, I am NOT interested in creating new views that don't include URLs with email parameters in them, or otherwise change the view and not the data. The data needs to be gone and be completely inaccessible to anyone with access to this Google Analytics account.
Here are the options I've come up with:
Delete the property and start over. I'm pretty sure this will
actually delete the collected data, but it's not clear to me if I
would have to actually delete the account itself to achieve that.
Set the data retention time to the lowest possible value (looks like 14 months right now) and wait 14 months for it to go away https://support.google.com/analytics/answer/7667196?hl=en
Perform some kind of magic to get in contact with an actual human at Google who could help me scrub or remove this data.
Does this sound right? Are there options I'm missing? If there's a way to do this through a Google API that would not be a problem.
If this is still a relevant issue. GoogleAnalytics provides a way to delete some data. Universal Analytics https://support.google.com/analytics/answer/9450800?hl=en and GA4 https://support.google.com/analytics/answer/9940393?hl=en&ref_topic=2919631
You are right: changing the data, that you have collected, and Google Analytics have already processed, is not possible. You have the option to make changes during processing with various filters, e.g. Search-and-replace filters, but as it is written in this official support article:
Like all filters, search-and-replace filters only apply to hits
collected after you've applied the filter to the view (filters cannot
change historical data).
Regarding you suggested options:
Deleting a view or property will result in a permanent loss of data after a 35 days period of waiting time. (While this could be undone.) So unless the requirement of scrubbing the collected PII is more important than having your historical data, this should not be a way to go. The same applies to deleting the whole account, so it would be enough to delete affected properties or views.
From the article you have linked as well, you can see, that data retention is about removing user and event level data, and it will not affect the data in aggregated reports. My understanding is, that an already created, page level report will keep showing the page with an email address:
Keep in mind that standard aggregated Google Analytics reporting is
not affected.
I hope these references help you to evaluate your options. Sorry for not being able to come up with a solution, but the basic concept is, as highlighted in this Google article:
Once Analytics processes the data, it’s stored in a database where it can’t be changed
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.
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.
Is it possible, and if so, how to make a "custom" counter entry in GA, which basically is a count based on database entries.
Quite hard to say without knowing your specific use case, but Google Analytics supports events. You can send custom events to Analytics on every page load. You can then think of a structure with different categories and labels where you can filter these.
If you just want to show the change of the number of entries in a table, you could also think of using a monitoring software like munin. Think about whether your data makes sense together with your other Analytics data or if you just want to show the changes over time together with your other server health parameters.