I have one website and 2 blogs. Everything is working for years and till recently we were ok with setup.
I am promoting one of the blog pages on Twitter,Facebook,LinkedIn. I can see conversions on main property but I cant tell how many conversions were from each of the sources. I just can see blog page as a source. When i switch to blog property in GA i can see segmented traffic by sources but ofc no conversions (goals are defined only on the main site)
I am reading for tracking goals from multiple properties but it only confuses me more and more. Is this possible to pass data from one property to another and be able to see what I want to see (segmentation by sources and conversions) ?
I am new to Google Analytics, and when I walked through the setup process, there was a lot of explanation about Social settings. I suspect this is new. Google has put in fields for you to track traffic to your blogs that comes in from your other social presence(s).
You'll want to identify your profile URLs for Twitter, LinkedIn and Facebook so that it can break it down for you correctly.
They state:
If you leave the Web Property Prefix blank, you'll see Activities data for the domain you are tracking with Google Analytics (e.g. example.com). If you also wish to see Activities data for properties such as your YouTube channel, enter your prefixes here; for example, youtube.com/example. Make your prefix as specific as possible (i.e. do not simply enter youtube.com). Activities data is only shown for properties from which your domain has received hits.
Source: Google Analytics Social Settings: Web Property Prefix Help
Related
I'm a consumer data analyst who is not very familiar to coding other than occasional encounters with HTML and Python, and I'm just starting with the coding part of Web Analytics. In particular, I need to learn about checking websites I don't own (therefore I don't have access to their Analytics accounts) for tracking info, but it has been phenomenally hard to find information on which tracking function each component of code stand for, or to what extent it is visible from the page source.
For a project, here is a page I'm trying to check for Google Analytics/Tag Manager/alternative analytics setup, and see what is exactly being tracked on it. Other than the source code, I checked it with Ghostery, which gave me this Tag Manager code page. Is it possible to check tracking info from these two (events, pageviews, URI and how many custom dimensions there is, specifically), and which part of the code includes that info (particularly URI and dimension info - the first two, I have more idea about)?
This is a page I'm also looking into. I can see that this one has Google Analytics/Tag manager, but again, I can't make sure of what is being tracked, and whether the Analytics/Tag Manager setup is looking -potentially- problematic in any way. Here is the Tag Manager page for this one that I obtained through Ghostery.
Any help would be much appreciated...
Looks like what you are looking for is Google Tag Assistant extension for google chrome: https://get.google.com/tagassistant/
you can download it from here: https://chrome.google.com/webstore/detail/tag-assistant-by-google/kejbdjndbnbjgmefkgdddjlbokphdefk?hl=en
When you install it it will appear as icon on any page you visit and it will show you all GA implementations on a page:
You can select tracking ID you are interested in and it will tell you how many Page Views/events were fired for that particular tracking ID only:
Then you can select individual tracking event/page view and see all data that are being sent with that tracking request. Just Click on URLs and click the icon to put the data in table:
Here "cd" stands for Custom Dimension, so here you can clearly see 2 custom dimensions that are being tracked:
Hope this helps, good luck!
I'm currently running an experiment without redirect, using Google Analytics, but I'm running in some issues.
The case
I work for a company that has two websites, with two separate brands, selling the same product. Today, we are plaining a merge of the brands, one of the reasons being the low costs of maintanance.
To see how this would affect sales, we are doing an a/b test. The test consists of changing the logo of the sites, and displaying an information about the merge of brands in the variant. The original is the website without changes.
We have some requirements to do it:
We use a CMS that has no support to the Google Analytics Experiment tag (we get some errors when we install it to the , and are unable to run it)
We need to run it through all pages of our websites. We have also a subdomain in each site, that the user is redirected to place an order.
We doesn't have time to wait for the experiment to end for itself. So, we came up with the idea to track the rejection and sales using a duplicate pageview with "/variant" in the url and in the title.
To do that, I used the Content Experiments without redirects, with the Google Tag Manager.
Configuration of the Experiment
In Google Tag Manager, I load the Content Experiment Javascript API and define the choosenVariation variable in all pages of both websites and subdirectories.
I track the "gtm.load" event, to see when the page finished loading all elements and change the DOM in three ways: changing the logo, adding the content about the merge and add an item to the main menu. All of this, through Javascript.
Along with the changes of the DOM, I add a datalayer called VirtualPageView, and pass the corresponding url with "/variant" and the title with "Variant".
When the datalayer fires, I send a new Pageview with the variant information.
The problem
The experiment is running right, but when a user gets the B variant of the experiment and procceed to a subdomain of our websites to place an order, it seems that it's somehow running another test, and happens to the user get the A variation.
We are trying to persist the original session and the client Id through the domain and subdomain, in order to the user that saw the different logo, continue in his way to order.
I saw this page about Running Experiments across Subdomains, but its about the Classic Analytics and the classic experiment, and we are using the Universal Analytics with the Content Experiment without redirects.
I don't know if my explanation was clear enough, so if someone have doubts, please ask me. I don't have a profound knowledge of Google Analytics or the Content Experiments either. So, if you have a better way to do this, please, tell me.
I came up with a solution to our problem. We agreed to use the experiment only in the pages of the main domain, so I can change the content otherwise in the pages of the subdomain:
When a user visits our main domain, through Google Tag Manager, I created a cookie that says what the result of the variation chosen for the user (0 for the original and 1 for the variation).
When this user goes to our subdomain to place an order, still via GTM I check the cookie to see its value. If its equal to 1 (a variation), I change the logo and the menu, according to our previous configuration, and I send a virtual pageview to help us check the data.
Until now, this is working properly.
Situation: I have used Google Tag Manager to set up Google Analytics (GA - Universal) on a multisite network. There is one GTM container, and each website has its own GA property. I used a GTM variable to reference all of the GA properties. I am able to track cross-domain sessions. In testing, I am able to follow a user's session across multiple domains under the same session / client ID.
Problem: I'm stuck with what to do next. I'd like to create some Goals and Views that track a user's journey through my sites and measure the usual stats (bounce, drop-off points conversions, etc.). However, I'm not sure where to begin. I see plenty of information on the Internet for how to set up cross-domain GA tags in GTM. However, I don't see anything out there for how to create Views and Goals for cross-domain setups. A few questions that come to mind are:
Do I create Goals in the destination site's GA account (e.g. mycheckout.com), or the site where the session begins (e.g. myproductinfo.com)?
When creating Goals, do I only use the permalink slug, or the entire link? I thought I could only add the permalink.
How does this information roll up into one report?
I found this link, but I'm not sure if it's the 'best practice'. I would greatly appreciate it if someone who has previously implemented this could provide an outline of best practices, or a link to a good tutorial on the subject.
Thanks for your help!
Chris
You need to understand GA definition of Views and Properties. Views are like database table views: you can either show the whole table or a sample of it.
To have all data collected without sampling a "Raw Data" view (no filters) should always be used. Each view has its own conversion goal definitions. So in the "Raw Data" view you can create a goal for any page tracked. If you filter a view for one domain (e.g. "confirmation.com View with appropriate filters"), only goals for this domain should be created (otherwise they will never count a conversion).
When creating goals you can define filters for the "ga:pagePath" parameter. So it depends on your GA tracking setup, what part of the URL it tracks. Go into chrome web developer toolbar and hit the "network" tab. Open your page in this tab. Then search for requests ending with "collect", these are the data trackpoints send to GA. There you can debug what URL information is sent to GA (search for the "dl" parameter within the query string parameters list).
I have not been able to find clear answers to the following:
for a client with several country sites (subdomains) I want to use a Google Analytics account per site, plus a roll-up account to collect data of all country sites into one account. I want to use Google Tag Manager to add the analytics to the sites.
To add 2 Universal Analytics tracking IDs in one container for a site, is it needed to change a name somewhere? As you have to do when adding analytics code manually to a site when using an extra roll-up account.
If so, what exactly?
subsequently I want to use autoevent tracking. To track for instance PDF downloads - which are in this case on outbound links. Which is explained in this Justine Cutroni post: http://cutroni.com/blog/2013/10/07/auto-event-tracking-with-google-tag-manager/
But instead of using the standard macro for url path, I would rather see the url title or the linktext, as the url path is indecipherable in this case (a bunch of numbers and letters).
How can that be achieved? Given that the downloads are from dynamic catalogue pages (and thousands of them).
thanks
Why multiple accounts ? This would just work as well with profiles/views. That could potentially save you a bit of headache (if you have multiple trackers you need to push events etc. to all of them - for multiple view you just need a filter in your view settings).
Having said that, you find the settings for the tracker name under "advanced configuration" in the analytics tag template in the Google Tag Manager (both for ga.js and Universal Analytics). Tick the checkbox with the label "Tracker name" and enter the name (you need to rename at least one the trackers).
Site A gives their affiliates an interactive component (traffic map based on Google Maps), which they in turn put on their sites (Site B) in an iframe. The component is dynamic, doesn't change the URL of parent site, and has an id for each affiliate site.
What I would like to do is track the displays of the component. (Price of using Google Maps for the component depends on number of views).
At the moment the component is in <iframe src="http://SiteA.com/q?cp=43.520,18.910,10&cm=1"></iframe>.
I have looked at the other topics but didn't found a solution to that problem. I would really appreciate any help, I had no experience with cross-site tracking yet.
You as siteA owner want to count number of displays of iframe on other sites, correct?
The basic way to do it is logs analysis — every time your server returns page http://SiteA.com/q?cp=43.520,18.910,10&cm=1 or similar it adds an entry to your server's log files. The can be count when. There is a number of solutions for analyzing log data. Some of them opensource and free, other are paid services. For exmaple: http://awstats.sourceforge.net/
There is other ways to count it, but it's probably easiest way of all.