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<table border="0" cellpadding="3" cellspacing="1" width="100%" class="forumline"> <tr> <th class="thCornerL" width="22%" height="26">Autor</th> <th class="thCornerR">Wiadomość</th> </tr> <tr> <td width="22%" align="left" valign="top" class="row1"><span class="name"><a name=""></a><b>shoes4u3o</b></span></td> <td class="row1" height="28" valign="top"><table width="100%" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="100%"><img src="http://picsrv.fora.pl/Aniseed/images/icon_minipost.gif" width="12" height="9" alt="Post" title="Post" border="0" /><span class="postdetails">Wysłany: Śro 3:50, 25 Maj 2011<span class="gen"> </span> Temat postu: True Religion outlet Mobile Site Optimization Usin</span></td> </tr> <tr> <td colspan="2"><hr /></td> </tr> <tr> <td colspan="2"><span class="postbody">web marketers seek new ways to boost conversion rates and improve their mobile visitors' site experience,True Religion Skinny Mens, interest in mobile content optimization is on a feverish rise. But those unfamiliar with the tools and techniques are often unclear about where to start, or how to ensure success. In this article, we'll discuss: <br />A clear explanation of how to utilize mobile multivariate testing , and how it differs from another common type of testing: A/B testing. <br />" How mobile multivariate testing and analytics provide a foundation for continuous improvement of your mobile web analytics and marketing initiatives. <br />" An overview of five common mistakes to avoid when planning and running mobile multivariate tests. <br />What is Mobile Multivariate Testing? <br />Common methods for running controlled experiments on mobile web pages range from simple A/B testing to sophisticated multivariate testing, also known as multivariable testing. In A/B testing, one or more new versions of a page or single site element compete against an existing control version. For example, two versions of a headline might compete against an existing headline. Mobile multivariate testing, on the other hand,True Religion outlet, is like running many A/B tests concurrently, where there are multiple elements being tested at the same time. For example, two alternate product images,True Religion Bootcut, plus two alternate headlines, plus two alternate product copy text, for a total of 27 possible combinations (including the original control versions). What's important to understand about mobile multivariate testing is that it not only shows you which combination of elements generate more sales or pull more leads, but it reveals which individual elements influence visitor behavioral vs. those that do not. For example, did variations in product image influence visitor behavior more, less, or the same as the copy? Understanding how each site element causes visitors to interact with your mobile site is the essence of a test-learn-repeat process that marketers can use to synthesize new ideas and continually improve their mobile site's ability to achieve and exceed their marketing goals. <br />Mobile Multivariate Testing as a Process for Continuous Improvement <br />The process of mobile multivariate testing reveals not only what works and should be implemented, but also what doesn't work and should be avoided. Every new idea, whether content, functionality or campaign related, should be put to the test to determine if it helps or hurts the visitor experience. While some new ideas lift conversions, others fail - sometimes significantly. But even with these failures, there is definable knowledge gained over what to avoid the next time. The ability to test a new idea and look before you leap is an unmistakable advantage that breaks the constraints on mobile marketing innovation. Only once a solid testing capability is in place, and the impact of any site change able to be quantified, can mobile marketers truly optimize their mobile site's effectiveness. <br />What are Common Errors to Avoid When Optimizing Mobile Content? <br />There are five types of mistakes that are easy to make when running mobile multivariate tests: <br />1. Improper factoring caused by poor or no isolation of individual test changes; for example, changing a headlines text, font color, and font size, all at the same time as a mobile A/B test instead of a multivariate test. Why is this problematic? Because its difficult or impossible to isolate the impact of each individual change was it the font color and/or the text that caused the visitor to behave differently? <br />2. Running a test too short/long. Stopping a mobile multivariate test early because you think you have a winner increases the risk for statistically invalid data, and may increase time bias from events and/or conversion cycles. Running a test too long increases the risk of wasting time waiting for marginal results and consumes test sample that could be applied towards another test. <br />3. Tracking or analyzing wrong Key Performance Indicators (</span></td> </tr> </table></td> </tr> <tr> <td colspan="2" height="1" class="spaceRow"><img src="http://picsrv.fora.pl/Aniseed/images/spacer.gif" alt="" width="1" height="1" /></td> </tr> </table>
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