|
|
FREE Pre-Test Analysis with Element and Layout Suggestions on Top Landing Pages
Put eCommerce Website Pages Through Conversion Optimization Boot Camp Multivariate or Multivariable Testing can be an intimidating proposition for any website. The technology of every website requires that each test has some level of customization. On top of that, it requires resources and considerations that can easily overwhelm the parties involved. It is not easy for an analyst to create elements to test in a reasonable amount of time. Graphic designers and web developers tend to avoid testing because they feel their work is artistic and should not be subject to analysis. Issues like these prevent many companies from taking action to improve the persuasive content or the actionability of particular landing pages and functional navigation of a site. The outcome of this omission is an enormous missed opportunity.
Multivariate Testing Needs to Be A Part of Your Website Optimization Strategy
Along with other qualitative and quantitative means of arriving at powerful insights, multivariate testing produces the ultimate statistical support system for your website. Using highly advanced methods, our professionals will analyze the portions of the website. They will make suggestions as to which need areas the most attention or which functions could benefit the most from variations on your current layout our persuasion strategy. Sometimes this approach complementary to our usability testing services, other times, it can stand on its own for many reasons. Any way you cut it, the data output is fertile with insights to help improve website value and increase your return on investment.
Getting Set Up for a Free Multivariate Testing Analysis is Easy
Take a few moments and fill out the form below to gain consideration for a free analysis. The questions are to get an idea of where current site traffic and function is optimal for a multivariate test. As with any testing scenario, we want to be sure that the data which we can extract from the test is valid and statistically sound.
|