Home » E-Marketing

The Google Analytics Beta: Improving Profits through Web Site Analytics

Use the tools below to copy the article in plain text form, or you can copy it as HTML, ready to copy and paste directly into a web page.

HTML
<html> <head> <title>The Google Analytics Beta: Improving Profits through Web Site Analytics</title> </head> <body> <h1>The Google Analytics Beta: Improving Profits through Web Site Analytics</h1> <div class="info">Author: <a href="http://rosslambert3.articlealley.com/">Ross Lambert</a></div><div class="body">The Google Analytics Beta: Improving Profits through Web Site Analytics by Ross W. Lambert, The Midnight Marketer Web site analytics, for those who might not be familiar with the term, is the tracking of various performance metrics for a given web site. The metrics themselves can range from the simple (and relatively useless) count of " hits", i.e. requests for a given resource such as a single web page, image file, etc., to the measure of far more complex interactions. These complicated interactions can be totally arbitrary; for example, you might want to know the number of orders from visitors who were referred by search engines and scrolled at least halfway down a long sales page. That assumes, of course, that you can figure out how to configure all that tracking, interpret the results and afford the monthly fees for the providers of the service. The cost issue is apparently solved: Google Analytics (http://google.com/analytics) is currently free in its beta version, and early indications are that it will remain so. However, a word of caution is in order: The Terms of Service referenced on the Google Analytics home page seems to indicate that Google can and will make use of your site's data, at least in aggregate form (that is, mixed in with everybody else). In many minds Google is starting to become a Big Brother-like presence on the web, hence its motives are suspect pretty much by definition. Personally, I consider my site's aggregate data a fair trade for the value I will extract from their software, but you will have to make up your own mind. If you're not bothered by Google knowing as much about your web site as you do, then Google Analytics looks very promising. It is a smart, easy-to-use implementation that hits the sweet spot of web analytics. The Sweet Spot: Easy Yet Powerful The sweet spot I'm referring to is really the point where most of us live. We don't have the technical know-how to configure the most complicated tracking scenarios and even if we could, we don't have the analytical savvy to make any sense of the data. Google has found the sweet spot by making tracking configuration quite easy, and providing pre-cooked role-based reports that provide lots of information you may not have even realized was readily available. In short, you can get an awful lot of strategic data for very little effort. Configuration Let's walk through setting up a simple and common scenario: We want to know how well our sales letter is converting web site visitors to customers. Where Google Analytics shines is how much valuable data it automatically gleans from such a simple test. Google calls a tracking scenario a "profile". Although you can include URLs from many web sites in a single profile, it is easiest if you organize things such that a profile is fundamentally the same as a web site. As part of setting up your profile, you provide the URLs of all the pages for which you want data. Google then provides you with a JavaScript snippet to include on each page. The snippet is self-contained and requires no editing; it looks like this: <script src="http://www.google-analytics.com/urchin.js" type="text/javascript"> </script> <script type=" text/javascript"> _uacct = "xx-yyyyyyy-zz"; urchinTracker(); </script> You can put the snippet anywhere inside the <body> tags of your web pages. Next, you want to specify a "goal". The goal in our case is sales; we know that the goal has been achieved when the customer reaches our "thank you" page, which we send them to immediately following a purchase. Therefore the URL associated with the goal is that of our thank you page. More sophisticated goals can involve defining a "funnel" of multiple pages; this can be extraordinarily useful in identifying a weak spot in a more complicated sales process. At this point our setup is finished! You then need to just let your site run and accumulate statistics for at least 24 hours. Reports When you return and select View Reports, you will see an amazing array of statistics at your disposal. The first thing you'll notice is a pop-down menu with several roles, namely Executive, Marketer, and Webmaster. Each role has a suite of pre-cooked reports likely to be of interest to someone in that role. We'll focus on the Marketer role; when you choose this option you'll see the Marketing Overview by default. It includes four charts: - A line graph showing raw page views over time - A pie chart showing the proportion of returning versus new visitors - A world map showing the geographic distribution of visitors - A pie chart showing the visitor counts based on the referrer, i.e. Google, Blogger.com (for my blog), etc. The Overview is general data useful for knowing the overall populatiry of your site and where your visitors are coming from. The Marketing Summary report is a numerical chart that shows the top five referrers, the top five keywords used by searchers, and the top five campaigns. A campaign is indicated by a code that you attach to a URL. Even so, by default you get several campaign totals. These default campaigns are: - Organic: Indicates visitors referred by an unpaid search engine listing. - Referral: Indicates visitors referred by links which were not tagged with any campaign variables. - Not set: Indicates visitors referred by links which were tagged with campaign variables but for which the campaign variable was not set. - Direct: Indicates visitors whotyped the URL directly into the browser. The next report of interest is Overall Keyword Conversion. Since we have indicated a goal of "sales" and linked it to our thank you page, the Overall Keyword Conversion report is able to tell you which search engine keywords result in the most sales. This is a really useful and potentially profitable report. The Campaign Conversion report shows which campaigns are creating the most sales and the Conversion Summary produces total visits and total goal percentages (i.e the number of visitors that achieved each goal). Finally, the Entrance Bounce Rate is an interesting report that also has valuable data, even in our simple scenario: It provides the list of pages for which customers land and then leave right away. For some pages, our product download page for example, we expect a 100% bounce rate. For others it can illustrate a weak or problematic page. Google Analytics provides an astonishing amount of data for very little effort—and no cost (so far, anyway). Although there a few advanced reports missing from its arsenal, it makes the bulk of the web site measurement you'll want to do very easy indeed. Ross Lambert is The Midnight Marketer and the founder of MidnightMarketer.com, an online community of internet marketers (http://midnightmarketer.com). He is also the author of Sonic Page Blaster (http://spbsavestime.com) and Ross's Guide to the Masters of Marketing (http://saleslettergenius.com). </div> <div class="source">Article Source: <a href="http://www.articlealley.com/http://rosslambert3.articlealley.com/the-google-analytics-beta-improving-profits-through-web-site-analytics-36511.html">http://www.articlealley.com/http://rosslambert3.articlealley.com/the-google-analytics-beta-improving-profits-through-web-site-analytics-36511.html</a></div> <div class="author"> <div class="authorBio"></div> </author> </body> </html>

Text
The Google Analytics Beta: Improving Profits through Web Site Analytics Author: Ross Lambert The Google Analytics Beta: Improving Profits through Web Site Analytics by Ross W. Lambert, The Midnight Marketer Web site analytics, for those who might not be familiar with the term, is the tracking of various performance metrics for a given web site. The metrics themselves can range from the simple (and relatively useless) count of " hits", i.e. requests for a given resource such as a single web page, image file, etc., to the measure of far more complex interactions. These complicated interactions can be totally arbitrary; for example, you might want to know the number of orders from visitors who were referred by search engines and scrolled at least halfway down a long sales page. That assumes, of course, that you can figure out how to configure all that tracking, interpret the results and afford the monthly fees for the providers of the service. The cost issue is apparently solved: Google Analytics (http://google.com/analytics) is currently free in its beta version, and early indications are that it will remain so. However, a word of caution is in order: The Terms of Service referenced on the Google Analytics home page seems to indicate that Google can and will make use of your site's data, at least in aggregate form (that is, mixed in with everybody else). In many minds Google is starting to become a Big Brother-like presence on the web, hence its motives are suspect pretty much by definition. Personally, I consider my site's aggregate data a fair trade for the value I will extract from their software, but you will have to make up your own mind. If you're not bothered by Google knowing as much about your web site as you do, then Google Analytics looks very promising. It is a smart, easy-to-use implementation that hits the sweet spot of web analytics. The Sweet Spot: Easy Yet Powerful The sweet spot I'm referring to is really the point where most of us live. We don't have the technical know-how to configure the most complicated tracking scenarios and even if we could, we don't have the analytical savvy to make any sense of the data. Google has found the sweet spot by making tracking configuration quite easy, and providing pre-cooked role-based reports that provide lots of information you may not have even realized was readily available. In short, you can get an awful lot of strategic data for very little effort. Configuration Let's walk through setting up a simple and common scenario: We want to know how well our sales letter is converting web site visitors to customers. Where Google Analytics shines is how much valuable data it automatically gleans from such a simple test. Google calls a tracking scenario a "profile". Although you can include URLs from many web sites in a single profile, it is easiest if you organize things such that a profile is fundamentally the same as a web site. As part of setting up your profile, you provide the URLs of all the pages for which you want data. Google then provides you with a JavaScript snippet to include on each page. The snippet is self-contained and requires no editing; it looks like this: _uacct = "xx-yyyyyyy-zz"; urchinTracker(); You can put the snippet anywhere inside the tags of your web pages. Next, you want to specify a "goal". The goal in our case is sales; we know that the goal has been achieved when the customer reaches our "thank you" page, which we send them to immediately following a purchase. Therefore the URL associated with the goal is that of our thank you page. More sophisticated goals can involve defining a "funnel" of multiple pages; this can be extraordinarily useful in identifying a weak spot in a more complicated sales process. At this point our setup is finished! You then need to just let your site run and accumulate statistics for at least 24 hours. Reports When you return and select View Reports, you will see an amazing array of statistics at your disposal. The first thing you'll notice is a pop-down menu with several roles, namely Executive, Marketer, and Webmaster. Each role has a suite of pre-cooked reports likely to be of interest to someone in that role. We'll focus on the Marketer role; when you choose this option you'll see the Marketing Overview by default. It includes four charts: - A line graph showing raw page views over time - A pie chart showing the proportion of returning versus new visitors - A world map showing the geographic distribution of visitors - A pie chart showing the visitor counts based on the referrer, i.e. Google, Blogger.com (for my blog), etc. The Overview is general data useful for knowing the overall populatiry of your site and where your visitors are coming from. The Marketing Summary report is a numerical chart that shows the top five referrers, the top five keywords used by searchers, and the top five campaigns. A campaign is indicated by a code that you attach to a URL. Even so, by default you get several campaign totals. These default campaigns are: - Organic: Indicates visitors referred by an unpaid search engine listing. - Referral: Indicates visitors referred by links which were not tagged with any campaign variables. - Not set: Indicates visitors referred by links which were tagged with campaign variables but for which the campaign variable was not set. - Direct: Indicates visitors whotyped the URL directly into the browser. The next report of interest is Overall Keyword Conversion. Since we have indicated a goal of "sales" and linked it to our thank you page, the Overall Keyword Conversion report is able to tell you which search engine keywords result in the most sales. This is a really useful and potentially profitable report. The Campaign Conversion report shows which campaigns are creating the most sales and the Conversion Summary produces total visits and total goal percentages (i.e the number of visitors that achieved each goal). Finally, the Entrance Bounce Rate is an interesting report that also has valuable data, even in our simple scenario: It provides the list of pages for which customers land and then leave right away. For some pages, our product download page for example, we expect a 100% bounce rate. For others it can illustrate a weak or problematic page. Google Analytics provides an astonishing amount of data for very little effort—and no cost (so far, anyway). Although there a few advanced reports missing from its arsenal, it makes the bulk of the web site measurement you'll want to do very easy indeed. Ross Lambert is The Midnight Marketer and the founder of MidnightMarketer.com, an online community of internet marketers (http://midnightmarketer.com). He is also the author of Sonic Page Blaster (http://spbsavestime.com) and Ross's Guide to the Masters of Marketing (http://saleslettergenius.com). Article Source: http://www.articlealley.com/http://rosslambert3.articlealley.com/the-google-analytics-beta-improving-profits-through-web-site-analytics-36511.html About the Author:

Article Title:
Article Keywords:

return to article

Author

by Ross Lambert

ads

The Google Analytics Beta: Improving Profits through Web Site Analytics

Need Help?

Site Info

Webmasters

Business Info