Google Analytics in footer file - templates

I have a question about how Google Analytics tracks pages in a Wordpress site or any other site that uses a template file to include the code for Google Analytics in the footer or header. Since the file is generated and used in all the pages, that would mean that the analytics code is counting all the pages that are viewed correct? Also, is it possible to view what pages are getting hits and have a more detailed report in Google Analytics? I just have a feeling that the page i'm tracking is displaying inaccurate reports since the same code is used on every page. Can anyone help clear this up and educate me a bit on this topic?

The code is always the same, it loads in the footer so you dont have to put it on every single page.
in the code there is a unique code for your website so analytics knows wich analytics account needs to get the information.
The code dosn't need to be changed everypage.
You can see the pageviews like this:
-->google analytics
--->contents
-->Site content
-->all pages
Now you get a list with urls and the page view for every url
You can sort the list by pageviews (how many times is the page loaded) and unique page views(How many uniqe ip addresses have visited the page.).
You can also find bounce rate wich shows how many % of the users left you site on that page.

Related

Google Analytics - Match URLs on Unique Number in Content Drilldown Using RegEx?

I am trying to track pageviews on Google Analytics for knowledge base articles (on Zendesk).
Each article has a unique number. However, the title of the page is sometimes appended to the URL, and GA tracks this as a separate page. If the title of the article changes, it generates a new URL.
For example, these would all be the same article, so I want to see a single pageviews count, but GA would show as 3 separate stats
/hc/en-us/articles/360039413394
/hc/en-us/articles/360039413394-How-To-Make-A-Sandwich
/hc/en-us/articles/360039413394-How-To-Make-A-Turkey-Sandwich
I want GA to roll up the articles matching on the unique number, and ignoring everything after that. Is there a built-in way to do this? Is there a way to do this with Regex? Where would I add the Regex for the Content Drilldown page? Help!
Thank you.
Analytics cannot know in an integrated way which part of the URL interests you or which distinguishes one page from another.
What you should do is understand when in your system the page title is appended to the URL and avoid it.
For future data you can try to clean the data with a regex before it arrives in Analytics, for example with GTM, but this could compromise the other URL cases that need to be handled differently.
In general, if in the Analytics reports you filter the URLs for an identifier, for example 360039413394, in the first row of the report you can see the aggregated values of all the URLs that contain that string. So if you need to verify a particular product page you can use this workaround when viewing data.

Display content on web page depending on Google Analytics data

Is it possible to use data from Google Analytics when someone visits my web page?
I would like to get information about the visitor, eg:
location
how many times he visited the page
from where he comes
time spent on website
etc
And depending on those informations display proper content. Or even add them (silently) to the contact form.
Is it possible to use the data collected by Google Analytics or should I create my own mechanism based on cookies? Maybe any other solution?
This isn't possible. Universal Analytics uses a cookie with an ID for the user and handles the rest on the server, so there's no data available to you. However, all of the info that Google is tracking is accessible to you.
location you can get via the users IP
visits you can get by setting a cookie on each user and tracking sessions
referrer should be in the request headers
time spent can be tracked the same way that ga does, but keeping track of the time everytime the user creates another hit

Is there a way to track our website activity from our Facebook fans clicking link on our page?

We just started an advertisement with Facebook and are curious if there is a way to track who has visited our website by clicking our website link on our Facebook page? I am very pleased with all of the ways to track the performance of our ad on Facebook and want to see if people are not only 'liking' our page, but visiting our website to learn more about us. Any information would be helpful :)
This is our website if you need to look into it further:
http://drkennethlevine.webs.com/
I don't know how much you can change about your website or how it is built. However there is a way to track where the users who visited your page from. Use the http reffer field.
In php (and probably in most other languages) you can get the refer link by using
$_SERVER['HTTP_REFERER'];
The refer field contains the last page visited by the user.
Simply count the number of users that are surfing from your facebook page to your website.
You can use $_SERVER['HTTP_REFERER']; as mentioned by #fake, or simply use Google Analytics, which will provide you a lot of statistics for free, including referers, stats by browsers, countries...
All you have to do is create a GA account, and link your website to your account (you'll have a few javascript lines to add in your footer for it)

How To Get Historical "Facebook Page Likes" Data via Graph API or FQL

Was wondering if anyone knows how to get the historical data for any Facebook Page.
For example, number of fans for RedBull fan page on a given day in the past or for a given period that ends today so that I can show fan development of any page over a given period.
I tried it with the graph API and FQL (insights) but no luck.
https://graph.facebook.com/{USERNAME}/insights?fields=likes&period('week')&end_time_date('2011-06-26') --> empty result
Pulling the data via FQL also returns no results, plus it seems without a read_insights permission nothing is possible for page data
I'd need this to be available with only a generic user access token. This data is publicly available anyway. Result should be somewhat like this: http://www.socialbakers.com/facebook-pages/australia/
https://graph.facebook.com/{{pagename}}/insights/page_views?access_token={{access_token_key}}&since=1420070400&until=1421625600
Since & until parameter in the above code takes in unix time.
add necessary information in the {{ }} and this code should work.
Without insight permission I recommend that you write something to perform a nightly query on the page graph and record the stats you need. If the page is public most of the information shown on that site is available.
You could also scrape info from http://pagedata.appdata.com if the page has already been listed...

In Webtrends, what is the difference between a HIT, a VISIT and a PAGE VIEW

I cannot seem to find any straight and clear documentation explaining the differences between these value types. Hits used to be any call to the server regardless of the file type, but Webtrends only tracks page views, so how is a page view different for a hit? As for visits, I assume that 1 visit can produce multiple page views.
I am seeking enlightenment.
Xv
UPDATE:
This is a screen cap of the results im trying to understand.
Hit - any and every request (image, html, css, js etc...)
PageView - every request to a page (html, aspx, asp, php etc...)
Visit - a session, the duration of someone coming to your website, regardless of the number of page views they have generated
These are fairly generic terms and this usage is accepted in most web tracking lingo.
I don't know about Webtrends, but the lingo normally goes something like this:
Hit: a request to the web server. While this could be a page, it could also be an image, CSS file, etc.
Page view: a request to the web server that is a page.
Visit: a unique page view. (unique as in, from the same IP address or same client). Visits depend on what the time frame for unique is; i.e., visits/month is not the same as adding up all of your visits/day.
Ultimately, Hits in this case are equal to page views.
Hope this helps anyone encountering the same issue with Webtrends.