I would like to log search queries, the user's name, and datetime of the query to analyze at a further date such as view the amount of searches within a certain time frame, view a rank of top searches, a rank of users with the most searches, etc.
Does Google Analytics support this? If so, what should I look up to figure out how to get started? If not, are there other analytic platforms that would support this?
I'm having a difficult time finding the right terms to use to look this up. I'd prefer not to build an analytics platform from scratch if possible.
Related
I am trying to generate a report using Google Analytics Explore tab using Free Form technique. Few weeks ago I could use Message name, stream name and time to see all the notification name, platform and total no of click. I exported the same to excel file.
but today when I tried to generate the same I couldn't find "Message Name" dimension. Is this field removed from pre defined/custom dimensions from GA? or am I doing something wrong?
My main purpose is to get all list of notifications sent via Firebase.
Any help will be deeply appreciated.
Given that you excluded the obvious issues like using the too-fresh data, the proper way to debug it is to export the data into a sample BQ table, then conduct exactly the same analysis that you're trying to conduct in GA4's explorer. From there, if your issue is with explorer's filters, you will quickly see it.
If, however, you're able to see your event properties in BQ, but not able to get the explorer to display them... Well, Google likely saved quite a lot of money on GA4. UA was pretty expensive. GA4 now introduces all these amazing features like data retention limits, properties' values cardinality bugs, odd inconsistencies between explore's reports and default reports and so on.
For now, the best way to really access your data minus all the artificial limitations of GA4 is to ETL your data from there either through the reporting API or exporting it to BQ.
I'm setting up Google Analytics for a website where a user can find an event to attend (concerts, plays, etc.). The results can be filtered by 5 different parameters.
So, unfiltered results would look like: example.com/event-finder/
And filtered results showing concerts in January or February would look like: example.com/event-finder?type=concert&month=jan,feb
I'm struggling to figure out the best way to use the query parameters in Google Analytics to analyze filtering behavior.
Example questions I'd want to be able to pull answers for:
What percentage of results were filtered by type?
What percentage of results were also sorted by month?
What is the most common type filtered by?
I have full access to both Google Analytics and Tag Manager but I suspect I shouldn't do this with events or custom dimensions and that there's got to be a way to use the query parameters to do this in a clean way.
I've tried to use a new view and site search to group the types of filters. Seems like it could work, but seems hacky and limited.
I've considered pushing those values into custom dimensions, but that too seems like overkill.
I've considered pulling content reports into Google Sheets and sorting through things there, but I'm 1) not entirely sure how I'd do that and 2) suspect there may be an easier approach.
Let me know if you have any questions or need more clarification. Thanks!
Have you tried to use "category parameters" when configuring site search (admin -> view settings)? You could set the "type" as a category parameter. You can also enter multiple parameters in there.
Check this screenshot of site search configuration
I'm doing some complex reports for google analytics and would like to ask you if the following is possible. The client wants to have just organic data for a bunch of metrics. Like pageviews, visitBounceRoutes, etc. The query I ended up with is the following:
https://www.googleapis.com/analytics/v3/data/ga?dimensions=ga:source,ga:medium,ga:keyword,ga:day,ga:month,ga:year&end-date=2013-11-20&fields=columnHeaders/name,rows,totalResults,totalsForAllResults&filters=ga:medium==organic&ids=ga:79067749&metrics=ga:pageviews,ga:pageviewsPerVisit,ga:visitors,ga:avgTimeOnSite,ga:newVisits,ga:visitBounceRate&start-date=2013-10-20
However the response is as follows:
'{"totalResults":0,"columnHeaders":[{"name":"ga:source"},{"name":"ga:medium"},{"name":"ga:keyword"},{"name":"ga:day"},{"name":"ga:month"},{"name":"ga:year"},{"name":"ga:pageviews"},{"name":"ga:pageviewsPerVisit"},{"name":"ga:visitors"},{"name":"ga:avgTimeOnSite"},{"name":"ga:newVisits"},{"name":"ga:visitBounceRate"}],"totalsForAllResults":{"ga:pageviews":"0","ga:pageviewsPerVisit":"0.0","ga:visitors":"0","ga:avgTimeOnSite":"0.0","ga:newVisits":"0","ga:visitBounceRate":"0.0"}}'
Can the dimensions ga:source,ga:medium,ga:keyword be mixed with the above metrics? It seems they can't since if I omit them the API returns an array of values 1 per each day within the specified range.
Where can I find more information about this and what categories are mixable? https://developers.google.com/analytics/devguides/reporting/core/dimsmets just shows all the available metrics but do not explains how they are combined and which one would be valid requests. I'm new at the analytics API and would be great any kind of help or guidance
Thanks a lot
Google Analytics Query Explorer is your friend for playing around with analytics dimensions/metrics/filters ;-)
Try http://ga-dev-tools.appspot.com/explorer/?dimensions=ga:source,ga:medium,ga:keyword,ga:day,ga:month,ga:year&metrics=ga:pageviews,ga:pageviewsPerVisit,ga:visitors,ga:avgTimeOnSite,ga:newVisits,ga:visitBounceRate&filters=ga:medium%253D%253Dorganic&start-date=2013-10-20&end-date=2013-11-20&max-results=100
Some thoughts:
Those dimensions & metrics should work -- maybe there was no organic data recorded during that time range?
Try removing the ga:medium==organic filter and see what your data looks like.
Does the profile you're using (ga:79067749) have any filters on it? If so, maybe try a different profile that has unfiltered data. (Analytics best practices -- make sure you have a profile with no filters applied that captures all data.)
As Mike said, there is no problem with the combination of metrics and dimensions you are using.
If you are entering the URL query directly in the browser problem might be the lack of URL encoding in your query string. For example, you need to convert == to %253D%253D
For example, instead of ga:medium==organic, you need ga:medium%253D%253Dorganic
If you build your query in the Google Analytics Query Explorer as Mike suggests, you can grab the direct link to your report by clicking the link symbol in the upper left:
We have a site that tracks conversions through Google Analytics for redirects to an affiliate. However, not all redirected visitors convert to a sale after they leave our site. Our affiliate reports back to us weekly on who converted (and we can identify an individual user session from that report). Is there a way to get that conversion data back into Analytics? We've got a great coding team, but I just need to point them in the right direction.
Good question Jeff. If you don't mind the accuracy of the timing being off, your team could certainly just step through your site and intentionally trip the conversions.
Other than that, you may look into using a custom solution to bulk import that data using this type of API: Google Analytics for Mobile Websites
This Google Analytic server-side solution supports PERL, ASP.NET, JSP, and PHP. If you're looking for a repeatable process for batch importing GA data, this maybe a viable solution for you.
Hope this gets you going in the right direction.
I would not recommend manually 'tripping' the conversions.
There is no easy way to get the data back into Analytics. And it would depend on your reporting requirements (time lines, etc)
One way to approach this is to set a custom variable that is scoped to a visitor that would identify the visitor in an anonymous way (not personally identifiable manner, beware the privacy policy).
http://cutroni.com/blog/2011/05/05/merging-google-analytics-with-your-data-warehouse/
So when a visitor comes to the site, a custom variable would get set. This variable acts as a key to associate behavior on the site and the affiliates. Once you receive the data about which visitors converted from your affiliates associated to the non-personally-identifiable ID, you can use this to have code fire some conversion events once it recognizes on a separate visit that a visitor with certain custom variables set using the _getVisitorCustomVar()
http://code.google.com/apis/analytics/docs/gaJS/gaJSApiBasicConfiguration.html
This is more a question of if this is the right way to achieve the desired solution.
We are building an eCommerce store like Shopify. We want to display report/data to our users for their stores.
Using GA can we do this. We was thinking of using one account. Adding the tracking api. Posting the store sales using the eCommerce plugin.
Then pulling the data back into our control panel, show graphs etc.
Is this a workable solution.
What would the issues be.
Best way to segment for each store so that we don't have data bleed (we may have thousands of stores - coincidentally they would have a domain like mystore.yourstore.com)
Any advice or better ways of us doing this without re-inventing the wheel.
Thanks
You can segment data with a custom Google Analytics variable or by setting the subdomain, e.g.:
pageTracker._setDomainName("subdomain.yoursite.com");
I think your approach is viable, but the notable challenge is that you have build out custom code to pull all of the data from Google Analytics into your application. I don't know of many off the shelf products that would offer this type of segmentation for analytics without requiring you to manage and create users for every subdomain/store.
The only thing I can think of is building out automated reports in Google Analytics (or similarly in Omniture) and have them sent to your store owners. But unfortunately those would be static reports such as PDFs.