Monday, May 30, 2016

Why the Click-Through-Rate Counts


Gathering click-through-rate data is an often-debated metric of importance. While some analysts believe in the relevancy of the data, others may deem it as unreliable. This is supported by an article that evaluates the importance of the click-through rate as its author claims, “Click-Through-Rate (CTR) is one of the metrics which some advertisers swear by, while others discredit,” (Hadden, n.d.)
The click-through-rate is simply the number of click-throughs for that specific link calculated through a division of the number of times that link was actually viewed. Marketers often use this metric for tracking email marketing campaigns where the rate is typically presented as a percentage of the total number of customers that opened the campaign email. For example, “a 40% email click-through rate would mean that for every 10 people that opened your campaign, 4 people went on to click a link in that campaign,” (“Reporting on your email marketing campaigns,” n.d.) A graphic example of the click-through-rate from an email marketing campaign is presented below.


Click-through-rate data gathered from email marketing campaigns can also be described as a key metric. Key metrics are, “…the high-level data points that show the overall success of your email marketing campaigns. These include open rate, click-through rate and unsubscribe rate among others.” (“Reporting on your email marketing campaigns,” n.d.) This key metric data can help businesses to understand their ROI efforts, as well as show marketers what content is engaging to the customers and what can be improved upon in future marketing campaigns.
The click-through-rate metric is also important for internet marketing and advertising campaigns, in which the metric can show advertisers the number of clicks they have received on their ads per number of impressions. A pay per click or PPC click-through-rate is a form of internet marketing where advertisers pay a fee when one of their advertisements is clicked on. In most cases, a high click-through-rate is a great insight for advertisers to see as it shows that a high percentage of potential customers who see the advertisement are intrigued enough to click it.
However, it is important to note that this metric can vary by industry and there is no magic number that can determine what a good click-through-rate is. According to a definition by Yahoo found within the following article by author Larry Kim, “Click-through rates are naturally going to vary from campaign to campaign, and even from keyword to keyword. Everything involved in the way your ad is displayed plays a part, from your ad copy to the ad’s ranking on the results page.” (Kim, n.d.) A distinction Kim also makes is that a high click-through-rate is not always a good metric for businesses in the case of having irrelevant keywords. Therefore it is important to have a good “high” click-through-rate on keywords in advertisements that are relevant and also affordable, “cost-effective clicks,” (Kim, n.d.)
A graphic example also found within author Larry Kim’s article on PPC and CTR shows below an insightful benchmark of click-through-rates in AdWords across 20 different industries. 

 

Thursday, May 26, 2016

Page Views: An Important Metric to Understand

Although my knowledge of web analytics is very limited at this point, I have often come across the metric of “page views” that is categorized as a foundational analytical tool. To some extent, prior to my research, I even had a basic understanding of what the page view metric consisted of. This is therefore why I decided to further explore and gather a greater understanding of the importance of page views.

Under the most basic of definitions, a page view can simply be understood as the number of times any page on a website has been viewed. A more in depth look at the metric describes page views as, “The number of times any page on a website has been loaded in a visitor's web browser, and the analytics code has successfully recorded the fact that page was loaded,” (Louis, 2012). Louis then goes on to explain how this metric is one of the more important ones to consider as it will be the general indicator of demand for a business’s website and the relativity of the content on it.

Page views can provide much needed feedback and diagnosis of what content is working for the customer demographic and what content is not. For example, a high count of page views could indicate both good and bad scenarios for website content. A high page view count when coupled with a low amount of time spent on the website page could mean that the page visitor is not finding the content they were looking for and are subsequently searching continuously for it. (Louis, 2012) Yet a high page view count could also indicate to market research teams that the content provided on the given page is engaging to the customer. Therefore, it is important that this metric is also coupled with other metrics in order to complete the larger picture at hand. Page view metrics are only one piece to the puzzle that requires many pieces in order to fully reach a true diagnosis.  

Another metric that is commonly mistaken with page views is known as “hits,” and it is important to understand the difference and reliability between these two metrics. A hit on a website is simply known as a request to the server for a single file, with single pages therefore able to create dozens of hits which can become often misleading. According to an article on the common misconception between page views and hits, the author claims that “…the number of hits doesn’t tell you much about your Web site’s traffic. Page views, on the other hand, are a solid measurement of traffic. If you send out a marketing piece, watch the page views and not the hits. Keep your focus there and forget the hits.” (Martin, n.d.)

Below I have included a real world example provided by Shawn Roering in 2012 of the differences between hits and page views and illustrating these calculations. The tables below visually showcase two different websites (Mcafee and Youtube) whereas the first tables in this set show 79 requests (hits) for 2 web pages, the last two tables of data only show the actual number of page views. It is fascinating to see how the data can be interpreted from 79 total requests to 17 different sites and then reduced to just 2 requests, providing a much more accurate depiction of the visitor’s actions. (Roering, 2012)











References:

Louis, J. (2012, April) A Web Analytics Primer - What Does It All Mean? Online-Behavior (Online) Retrieved from: http://online-behavior.com/analytics/web-analytics-primer

Martin, M. (n.d.) Pageviews vs. Hits. Hostways (Online) Retrieved from: http://www.hostway.com/web-resources/web-analytics/pageviews-vs-hits/

Roering, S. (2012, March 8) McAfee Web Reporter – Page Views A Real World Example. Mcafee (Online) Retrieved from: https://community.mcafee.com/docs/DOC-4662