Here you find 23 blog posts about Web Analytics.
It can sometimes be important to know if your content has been printed. The usual way to track this (in Google Analytics and other web analytics tools) is to use a "Print button" with an onclick event that sends the data to the tool.
However, not every website has a print button, and there are many other ways to print a page:
- Printing from the Browser Menu
- Right Click and choose Print from the Right Click Menu
- Ctrl+P (Windows) or Cmd+P (Mac)
In this blog post I show you how to track printing, and what method used to print the page.
An important part of optimization is to remove friction/problems/errors from forms. To help you identify problem areas, tracking Form Field Errors is essential (but still so few do it). I have doubled funnel conversion rates just because of this type of tracking in Google Analytics.
Tracking form field errors can give you information about:
- Validation errors or too strict validation
- Usability issues
- Wording issues
In this blog post I share how this tracking can be done using jQuery.
People are copying my content, and I think it's great. I have even done some extra work to make it easier to copy codes/scripts I have published on this blog based on feedback from some visitors.
ut I have also blog posts that don't include any scripts. My question was therefore, did visitors find something interesting in those blog posts, and if yes, so interesting that they would copy some of the content?
Since I didn't find any solutions that suited my needs, I did put together my own cut/copy/paste tracking script using jQuery.
Parts of the buying process on an Ecommerce site are visitors removing products from the shopping cart.
In this blog post I demonstrate how tracking of this in Google Analytics can be done using jQuery.
On an Ecommerce website, there are a serie of micro-conversions that have to be completed before the macro-conversion, the sale, can happen. Adding the Product to Cart is one important micro-conversion. If you aren't tracking, analyzing and optimizing this, you are missing insight in buying behaviour, and money are most likely left on the table.
In this blog post I show you how I do it.
A couple of weeks ago Justin Cutroni wrote 2 awesome blog posts about Advanced Content Tracking using Google Analytics.
I have been using his method with some small tweaks since before he published these blog posts, and since I have been asked if I could publish the script with my tweaks - here it is.
In this blog post I explain and demonstrates how to use Facebook Connect as a Social Login function, how to track Facebook demographic data like Gender and Age Group, and how to do Behavioral Targeting based on this data.
I will not explain all my code in this blog post, it's simply just too much going on. However, you can download all necessary code at the bottom of this blog post.
Since Google Analytics is relying on query parameters in the URL to track Internal Site Search, Internal Site Search solutions that are using the HTTP POST method can't normally be tracked without some help from IT and server side implementation/programming. This because HTTP POST don't send any query parameters. And based on my experience, it can often take some time to get something like this implemented.
There are already posted "tons of articles out there" about how to track Facebook Likes, Send & Comments as Social Engagement in Google Analytics, but since I also uses my own blog as a reminder of how to do things and a "script bank", I decided to write this blog post nevertheless.