Based on erroneous setup some Google Analytics data were wrongly attributed: Organic channel and all of according metrics were added to the Direct channel. Some means all data for certain time range.
What is the way to restore these data as clear as possible into the organic channel?
Sorry to all: forgot to mention: i'm on ga360.
There is no way. In the free GA version you cannot change data that is already collected at all.
In GA 360 you can change data by overwriting it with a datasource in query time mode. However you cannot change the attribution for direct hits (you would need a utm_id in you destination urls to overwrite campaign and medium, see campaign data import).
You can't modify historical data in Google Analytics, just set a note to remember the issue in those timeframe.
Related
I have a Google Analytics API request that provides full data for any date after 23/09/16, but nothing before.
The metrics/dimensions in use are:
date
ga:sessions
ga:users
ga:deviceCategory
ga:sourceMedium
ga:campaign
I have created a custom report with the same dimensions/metrics in the web view, and I can confirm that the data does exist there (and is being provided). If I take out deviceCategory (or only have deviceCategory) then results are returned. This suggests to me that before this date, deviceCategory and sourceMedium/campaign were an invalid combination, but I can't find anything in the release notes to suggest this was changed and checking previous versions of the dimension explorer using archive.org does not indicate this was the case either.
I have raised a support request with Analytics support but they have said they don't have a team for API related issues.
Any help would be greatly appreciated. We already have a lot of reporting built around this combination and would like to be able to compare historical data.
Edit: I think this has something to do with the data retention settings in Analytics (which default to 26 months). Not sure why this particular combination would be affected as there is no user or event data required here.
You are right, it's because of data retention settings.
"The retention period applies to user-level and event-level data associated with cookies, user-identifiers <...>"
https://support.google.com/analytics/answer/7667196?hl=en
deviceCategory is associated with ClientID.
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 implemented google analytics ecommerce tracking in my website. But there was a mistake while passing parameters to google analytics. My order get tracked but product sku code is not set.
Its a dummy order that i dont want show in any google analytics report.
Can you suggest how can i delete this order from google analytics?
I am afraid you cannot remove data from GA once it has been collected.
What you can do is:
hide it: create an Advanced segment, the transaction remains in your GA profile but at least it is not included in the reports.
make a copy: copy the profile and delete the old one (it means you lose historical data)
There is one more option:
1.- You could create a new transaction with the same amount in money, but with a negative sign. For example, if you have recored a transaction for 1,000 dollars, you could recreate it with a "-1000.00" amount. Doing this would "cancell" the wrong transaction.
Important: This will only work when the user sees a long period of time, including the wrong transaction and the fix.
Julien is right. You cannot remove the data.
There're a couple more options in addition to Julien's suggestions though
You can go to "Filters" option of the view and try to see if you can filter it out. Luckily, ecommerce transactions have their own category that can help you narrow down the variable you need to use. (screenshot attached)
Go a little more advanced than filters and use "Data Import" where you import the ecommerce transactions via a spreadsheet thereby overwriting the transactions for that day. So, what you would essentially do is take all the real transactions of ecommerce from your ecommerce application, export them to CSV and then upload it into GA without the test transaction.
Lastly, a tip: create a test profile for things like this.
One of the answers hinted at data imports (but in a way that would probably not have worked). Universal Analytics actually introduced a way to refund transactions (effectively canceling them out) via data imports. However this only works if the data was collected via enhanced e-commerce tracking. As per documentation:
In order to process refunds you need to have collected transaction
data with the ec.js plugin
With standard e-commcerce-tracking Omar Gonzales' answer is still the only working option (I'd like to add the additonal caveat that the negative transaction might be attributed to the wrong channel, so make sure to look at the source/medium/campaign data for the transaction you want to cancel out and supply that data via utm parameters).
I am using Google Bigquery to extract data on conversion paths from Google Analytics (GA).
When I analyze these conversion paths from the exported dataset, the last-click conversions match the Acquisition report in GA, but not to the Multi Channel Funnel (MCF) data. Apparently Bigquery doesn't really export raw data, but transforms it by deleting all last direct clicks. like described here: https://support.google.com/analytics/answer/1319312?hl=en.
Is it possible to get the Bigquery data to correspond to Multi Channel Funnel (MCF) conversion path data? To undo the deletion of last non-direct click and get proper 'raw' user level data?
All of the trafficSource fields in BigQuery Export for Google Analytics use campaign attribution as described in this processing flow, which will overwrite direct traffic with the most recent campaign (if there is one and it is within the specified timeout), as you mentioned.
If you are using Universal Analytics, you can adjust the campaign timeout to be shorter than the 6 month default. For example, if you set the campaign timeout to be one day, any direct visits that come in at least one day after a visit with a campaign will be attributed to direct instead of the previous campaign. This can be done with Classic Analytics as well using _setCampaignCookieTimeout. This technique will affect data collection from the time it is implemented going forward.
This thread is rather dated, so I thought I'd update just in case anyone else comes across this same question.
There is a field that was introduced (both in the Google Analytics interface and the BigQuery export) that allows you to match the numbers in the MCF reports. In BigQuery, look for the field trafficSource.isTrueDirect
BigQuery Export Schema
trafficSource.isTrueDirect
True if the source of the session was Direct (meaning the user typed
the name of your website URL into the browser or came to your site via
a bookmark), This field will also be true if 2 successive but distinct
sessions have exactly the same campaign details. Otherwise NULL.
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.