If
you or anyone you know frequents a website, you are a returning visitor. This type
of visitor is considered to be the number of unique visitors with activity
consisting of a visit to a site during a reporting period and where the unique
visitor also visited the site prior to the reporting period. (Reed College of Media, 2015) This metric also resides
in the Visit Characterization category of web analytics.
The way a returning visitor is
calculated is that each individual is counted only once in the reporting
period. It is not possible for a visitor be counted as both a new visitor and return
visitor in the same reporting period, since new visitors + return visitors = unique
visitors.(Web Analytics Association, 2008)
The return visitor metric, when
compared with the new visitor metric, is helpful in determining the overall
loyalty and affinity of visitors to the site being analyzed. Additionally, when
segmented correctly, the return visitor behavior is especially helpful when
compared to new visitor behavior in determining the difference, if any, between
how new and presumably unfamiliar visitors utilize a web site versus the usage habits of
visitors that have some level of experience interacting with the site. (Web
Analytics Association, 2008)
Problems with comparing
new and returning visitors
The new vs. repeat visitor metrics need to be
treated with caution as well. A visitor to a website is identified as being new
if the device does not already have one of the Web analytic system's tracking
cookies. If the device does not have a cookie (assuming that the device does
not block cookies), then it is given one. The fact that the device has a cookie
means that visit gets treated as a return visit. (Mason, 2010)The problem comes when a consumer visits the website a second time and either the device doesn't accept cookies, the user has deleted the cookie, or the user is using a new device or browser. The reality may be that the user has been to the website before, but as far as the Web analytics system is concerned, the user doesn't have a cookie on their device and so it will treat the user as a new visitor. As a result, the proportion of visitors who are considered to be new is generally an overestimate. (Mason, 2010)
What is Return Visitor Rate and can it be effective?
Return visitor rate is a metric that measures the rate of return visitors to your website. It’ll often be a good indicator of whether your marketing communications and content marketing programs are healthy. To calculate RVR, you just have to divide the number of return visitors to your website by the number of total unique visitors for a given period of time. The great thing about RVR is that the metric is easily accessible, understood, and actionable for most marketers. By referencing Google Analytics each month, you can see how your content influences your RVR. Spend some time reviewing the most popular URLs, the content formats these pages offer, content topics that have resonated during this time period, the average time spent on the site with these pages, and shares counts and comments. (Cheng, 2015)
Taking the time to do an extensive review of all of the popular destinations on your website will benefit the site in numerous ways. All of the content in these major traffic areas can be examined and evaluated to see what content is worth expanding across the site. Finding ways to create depth and present content in powerful and by a variety of methods will help to keep the site fresh and keep the returning visitors interested.
References:
Cheng, R. (2015). How Loyal Are Your Customers? This Metric Has the Answer. Contently.com. Retrieved, November 1, 2015 from https://contently.com/strategist/2015/08/18/how-loyal-are-your-customers-this-metric-has-the-answer/
Mason, N.
(2010). Analytics Basics: Unique Visitors, New vs. Returning Visitors. Clickz. com.
Retrieved, November 1, 2015 from http://www.clickz.com/clickz/column/1703608/analytics-basics-unique-visitors-new-vs-returning-visitors#
Reed College
of Media. (2015). Lesson 2: Basic Web Analytics. ECAMPUS.WVU.EDU. Retrieved, November
1, 2015 from: https://www.ecampus.wvu.edu
Web
Analytics Association. (2008, September 22). Web analytics definitions. Retrieved
on November 1, 2015, from: http://www.digitalanalyticsassociation.org/Files/PDF_standards/WebAnalyticsDefinitions.pdf
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