Monday, February 25, 2013

Practical uses for conversion goals in Google Analytics

This week, the tracking of blog traffic activity through Google Analytics (GA) continues.  As I attempted to drive traffic to the blog, I learned that you cannot measure the true success of a website without properly setting conversion goals.   As part of my learnings this week, I confidently set up six goals on my blog in three of the four types of goals: URL Destination, Visit Duration and Pages/Visit.  With a limited amount of content, I chose to postpone establishing an event-based goal.
 
Blogger Jamie Least describes URL destination goals as the way Google Analytics monitors the URLs you are tracking—more specifically, specific URL’s that are directly tied to your website’s KPI’s or conversion rates.  Through the use of URL destination goals, I wanted to compare the number of times that a visitor to my blog site reached the blog posted from February 4th versus how many times that the post from February 18th was viewed.  I wanted to determine if people who visited the blog would go back to read previous posts versus only reading the most recent blog post.  At present the contest is “too close to call”, with only one visit going to the February 18th post, while no one clicked on the February 4th post.  I have a theory on why so few page views were tracked – filters.  There will be more discussion on that topic later.
 
From a business perspective, it is important to determine whether a visitor has completed some type of high-value task tracked through Google Analytics. This task could be filling out a “contact us” form, visiting a customer service page providing consumers with information on “how to pay your bill”, or downloading a file.   The data from tracking these tasks can be presented to help improve the performance of the website.  We might learn that the “contact us” form is getting several people to submit but an error occurs preventing a conversion.  The link instructing customers on how to pay their bill may not be located in a position on the site to be noticed, resulting in low page views.  Also, after tracking the data, we might learn that the file customers are trying to download “times out” after five minutes.  These are all actionable improvements that can be uncovered by properly setting URL destination goals.
 
Often the task can be purchasing a product which usually concludes with some type of thank-you page. As long as the URI (Uniform Resource Identifier) is accurately set up in Google Analytics, the company can keep track of these tasks.  Also, if the website is an e-commerce site, the business can apply a goal value to the tracked action.  This is an important metric to remember when you need to present website performance reports to executive leadership. 
 
Visitor duration goals can be used to measure your engaged visitors by determining how many visitors stay on your website longer than the average time on site.  In the case of my blog, I set up three versions of this type of goal tracking: “5 minutes or less”, “3 minutes or less” and “60 seconds or less” to determine the level of engagement that the blog readers have with my posts.  At present, again the results are “too close to call” with only a few visits logged.  There is a story as to why the site traffic is low – More on filters a little later.
 
For businesses, visitor duration goals can help determine if products or services offered on a site are more or less favorable and encourage consumers to spend more time shopping on the webpage.  For instance, if a website is generating a large amount of traffic but appears to be failing on meeting a visitor duration goal, then the site is likely not providing the type of content, products or services that your target audience is interested in consuming.  Adjustments to the product or service offerings are likely in order.   
 
The Pages/Visit goal can also be used to measure the engagement of your visitors.  With this metric each individual is tracked for the amount of pages they view per visit and will only complete your goal if they are above or below the number you set in the tracking. In the case of my blog, I set this goal measurement tool to determine whether people were clicking to other pages and past posts on the blog or if they were abandoning after only one page view.  Again, thanks to a limited amount of traffic to my blog site (and filters); there was not enough data to determine a true sense of engagement.
 
Businesses that properly set up pages/visit goals can determine whether their website viewers are engaging with the site and more likely to trigger some sort of action.  Again, in this case, a goal value can also be applied to the metric to appease executives looking for deep insight on web site activity.
 
You may have noticed that I might have mentioned filters a few times in this post.  You may even have picked up the subtle hints that I accidently set up filters that disrupted my ability to track traffic to the blog site.  In my excitement after reading about goals, funnels and filters this week in my Web Metrics and SEO assigned reading, I set up a filter with the thought in mind to specifically track the traffic coming from LinkedIn and Facebook.  But that is not what a filter does.  Just as it sounds, filters throw out traffic that matches certain logic.  I should have added a new profile for traffic coming from each social media site.  Profiles enable us to segment the data in different ways including traffic sources and help us gain a much better understanding of the traffic coming to a site.

Final thoughts... “How could understanding the difference between profiles and filters have helped?”
In the case of this week’s blog post, simply understanding the difference between profiles and filters would have saved a great deal of traffic that would have been reported to this blog.  Blogger Daniel Waisberg provides some really good insight into the way that you use the two, "A profile is the gateway to the website reports.  It determines which data from your website appears in the reports. Filters can be applied to profiles in order to segment the data; for example, it is possible to create a profile only with visitors from USA, only from new visitors, etc. Since profiles use the same account and Web property IDs, data for multiple profiles can also be seen in aggregate."

Give me your feedback and let me know, "how using goals, profiles or filters may have helped" you in the past.

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