I have a website where users commonly go to x/y/z/userprofile=123456 and so my analytics data is being polluted with a lot of different profile views. I want to merge them all into one 'viewed profile' bit of data.
Does anyone have any idea exactly what I should be putting into filters to get the information I want?
I am completely new to GA so I am really unsure where to start
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Does anyone know if you can created automated reports from multiple GA views? I have a different views in GA setup for different localised webpages.
For example: I want to create a report of bounce rates that is automated for multiple views - then show this report in a dashboard - maybe through Google Data Studio or Google Sheets?
Can anyone shed any light on this?
Mucho Appreciato
I would definitely use the Google Analytics spreadsheet addon for that, this will allow you to:
copy really easily the same report configuration for all view
aggregate data from each of these views in the separate spreadsheet
Depending on what you want to show in your dashboard, an efficient visualisation in Data Studio might be impossible, as you will not be able to mix data sources (your different views) in the same graphical element, table or scorecard.
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.
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.
Just wondering if this this possible? I realise you could never use it to display recommendations on a page but it would be useful from an analytics point of view to see for example what other products user's who've looked at product x have also looked at.
You can use Advanced Segmentation to do this.
Advanced Segments slice Google Analytics data on the basis of sessions. Sessions are a collection of pageviews that correspond to the popular notion of a visit.
If you create an Advanced Segment for users who visited /product/x/, it will return data from all the sessions in which that page was viewed. (Similarly, you could create a segment for /product/x AND /product/y. From there, you could filter it to only include your product pages, and exclude the original products themselves.) As a result, this session-based querying is perfect for your use case.
So, yes, you could use Google Analytics API data to inform a simple recommendations engine. The only caveat I'd give is that the Google Analytics API is a little slow, so you'd want to cache the data locally in your app, rather than querying it directly on every pageload.