Showing posts with label visitors. Show all posts
Showing posts with label visitors. Show all posts

Thursday, February 7, 2013

What’s the problem with your blog?



Stuart Brown writes in his article “What’s Wrong With My Blog?” about the common mistakes that bloggers make with their blogs. He writes, “Creating a blog is easy – but alas, building a readership is somewhat more difficult”. He goes on to make several suggestions on ensuring that you have enough content and selecting appropriate topics. But let’s say that you’re doing this and want to know how to make more improvements to your blog. How can you identify what is working on your blog and what is driving visitors away? How do you measure success for your blog?  In Web Analytics 2.0 , Avinash Kaushik suggests measuring success for a blogs and non-commerce sites by looking at Visitor behavior. He suggests studying what visitors to your site are doing and how they are interacting with your content. He suggests analyzing the following metrics to get more familiar with your site visitors.

     1) Visitor Loyalty

Avinash writes that, “Visitor Loyalty tells you how often Visitors visit your website during the reporting period”. By looking at the Visits per visitor report, you can understand one aspect of visitor behavior. The report will show you the number of visitors and the number of times they visited the site. This information can be useful because you can determine the number of visitors that have only visited your website once. If you have a large percentage of visitors that only visited one time, that may mean that they do not find the content relevant to what they are looking for or not engaging enough to keep them coming back to your site.

      2) Visitor Recency

“Visitor Recency will tell you how long it has been since a visitor last visited your website”, writes Avanish. He goes on to write that this will essentially “measure the gap between two visits from the same person to your website”.  In order to make this data usable, you will need to determine how often the content on the site is updated and to set your goals accordingly. If content is updated several times a day, you may consider having a large percentage of visitors that visited daily a success.

     3)   Length of Visit

Avinash writes that Length of Visit measures the quality of visit as represented by the length of a visitor session in seconds. He suggests looking at the distribution of visitors and the amount of time they are spending on the site. If you want to increase the length of time for each visit, ask yourself how to engage these visitors. He suggests that you may analyze what content that the visitors that spend the most time on the site are consuming, and where they are coming from.

     4)  Depth of Visit

In regards to the Depth of Visit, Avinash says that this metric measures the distribution of the number of pages in each Visit to the website. This report helps you understand the content consumption patterns of your Visitors.  This can be valuable as you can focus on what has been popular historically and avoid spending any time on producing content that visitors will not engage with.
By looking at these measurements, you should be able to determine what creates the most value to your blog and what doesn’t.




Sources
Kaushik, Avinash (2010). Web Analytics 2.0. Indiana: Wiley Publishing Co. 3.
What’s Wrong with my Blog  -  http://modernl.com/article/whats-wrong-with-my-blog

Monday, January 28, 2013

Understanding Visitors and Visits


Most digital analytic tools provide firms with information about site visits, page views, bounce rates, exit rates, cart abandonment rates and so on that allow them to try and peer into the minds of both the curious and loyal customers to try to  understand their behavior as they are presented with the firm's products and services online. When you look at your analytic reports, you will generally see that there are several basic visitor metrics that give insight into consumer behavior, but first it is important to understand the difference between a visit and a visitor in the analytics world so that you don’t misinterpret the data you are looking at.
According to the Web Analytics Association, a visit is defined as "an interaction, by an individual, with a website consisting of one or more requests for an analyst-definable unit of content (i.e. “page view”). If an individual has not taken another action (typically additional page views) on the site within a specified time period, the visit session will terminate(1). A visit then, can be understood synonymously with a user session where an individual may make one or multiple interactions with your website. Think of these actions as distinct hands-on-the-keyboard activities: page views, events such as click, a form fill-out, click-through, social interactions via a pop-up chat window, transactions, etc. (2)



It may seem pretty obvious, but think of a just as you would think of a visit to your grandmother’s house. You enter the house, you interact in some way, and then at some point, you leave and go on your merry way. The same is true when an individual enters and then exits a website, but in analytics it is important to also keep in mind that the length of stay that defines the visit can be calculated differently in different analytics tools. Although a session or visit standard is generally calculated when a user stops interacting with your website after 30 minutes of inactivity , a visit by this definition can span for a few seconds, to several hours, to days and even longer.
Although visits are important to firms because they provide information about traffic, how “sticky” their web pages are and give great marketing feedback during different campaign tactics, many firms want to know more about visitors: what makes them click beyond the landing page, what drives their transaction rates, what patterns make as they interact with the website, etc.  So what is a visitor?  It sounds easy enough to say that a visitor is the individual who makes the visits and is the hands that take the actions on the website. While this is mostly true, in analytics, visitors are defined and tracked through sophisticated methods using  cookies that contains a unique identifying number and  date/time information that are sent to the visitors browser when they click on a web page. This cookie information is stored and remains in the browser for the length of the visit while some cookie data remain there as long as the individual leaves it there. This unique identifier number provides firms with data about browsing activity, whether or not the visitor is new, returning, repeat, etc.
New or first-visitors who do not already have a unique identifier will be sent a cookie with a date/time stamp of their first visit. If the cookie remains active and the same individual returns to the website, this unique identifier is checked when they enter the website and they are considered a returning and or repeat visitors.  The “unique visitor” and “unique visits” metrics can be commonly misinterpreted as a measurement of people; however, a unique visitor really is nothing more than the value of the cookie’s unique ID (3). One person then,  may actually have multiple unique IDs over his/or her visits because average consumers delete 3rd party cookies at a rate in excess of 30-40% and first party cookies in excess of 20% (4). If a user comes to the website, is assigned a unique identifier, exits, deletes his/her cookies, and then returns to the website, they will be considered a unique visitor again. In order to track people methods such as forced authentication (username/password) can be used.
Understanding the nuances between visits and visitor metrics will help firms make more sense of the visitor data they get from their analytic reports and will help them avoid misinterpreting the results.


 


 

 


 
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