• Multivariate and A/B Testing Best Practices

    Conducting a multivariate test is exciting.

    By using the right tool, you can quickly develop different designs for your webpage, split visitors between these designs and observe the conversion rates for each variation.

    Done incorrectly, AB testing can result in a waste of money, misuse of staff-hours, and, even worse, a decrease in your conversion rates.

    Here are ten best practices you must follow when conducting a multivariate test.

    A/B testing best practices during the planning stage 1.  Set expectations correctly

    Wrong expectations lead to disappointment and lost investment.

    Many marketers start split testing because they read or watched a case

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  • What Elements Should You Include in an A/B Test?

    As you start the process of multivariate or AB testing, one of the critical questions you will face is: What elements of the page should change and test?

    This article will suggest many elements that you should consider when creating a test. However, before you jump into selecting elements and creating variations for them, ask yourself: Why are you picking a particular item to test?

    The process of selecting elements to test on a page is where real conversion optimization happens.

    If you are looking for a long-term strategy, something that will produce a meaningful impact on your bottom line, then

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  • The Process of Creating a Successful A/B Test

    You need people who can design proper test scenarios, analyze results accurately, and create meaningful follow-up experiments.

    Poorly designed experiments might not provide concrete insights into why visitors behave a particular way on your website. You need criteria to determine, for example, which elements on a page you should test, which external and internal factors could affect the results, and in which ways to create the designs for new phases of your testing program.

    As much as testing is essential to any conversion optimization project, it should only be conducted after the completion of equally essential stages of optimization work

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  • Comparing Multivariate & AB Testing Tools (updated for 2018)

    It is time now to select an AB or multivariate testing platform to start running your tests. There are over thirty different tools available in the marketplace for you to choose from. So, you might ask:

    What is the right split testing tool for my website? Will I affect the success of my conversion optimization program by choosing one particular tool?

    The market is full of testing tools that range from simple free tools to sophisticated enterprise split testing software. This article will walk you through the pros and cons of different split testing tools available.

    We will also suggest

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  • Digital Coupon Marketing – Statistics and Trends [Infographic]

    Digital coupon marketing

    Did you know 31 Billion eCoupons will be redeemed worldwide in 2019, up from 16B in 2014 and there will be 1.05 Billion mobile coupon users worldwide by 2019, up from 560M in 2014. More than 57.5% of US internet users have redeemed a digital coupon or code at least once in 2016 and is expected to reach 59% by 2016. Check out our infographic on “Digital Coupon Marketing” for latest statistics and trends.

     

    Infographic by- Invesp Conversion Optimization

    To Publish this Image on your Blog or Website . Copy this code

    <a href=”https://www.invespcro.com/blog/images/blog-images/digital-coupon-marketing.jpg”><img src=”https://www.invespcro.com/blog/images/blog-images/digital-coupon-marketing.jpg” alt=”Digital coupon marketing

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  • The Difference Between A/B Testing and Multivariate Testing

    Both A/B testing and multivariate testing share the same concept: splitting visitors between several designs of your website or webpage to determine which of these designs generates more conversions.

    So, which of these two methods is best suited to help you increase your website conversion rate?

    AB Testing

    AB Testing (or Split testing) allows you to test one or more variations for each page on your website against each other.

    Let’s take few examples:

    On an e-commerce website, you can create a new design of your product page to test whether the product image should be placed on the left or

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  • What is Multivariate Testing?

    Editor note: Please note that we use button colors, fonts, headlines as a way to clarify the concept of testing. Succesful AB and multivariate tests will include more sophisticated changes to your page.

    Multivariate Testing or MVT testing is the process of testing multiple variations of multiple elements on a webpage with the goal of determining the best combination of different elements on the page to increase conversions.

    By using MVT testing software, you can test different variations of any element on your page (headlines, images, buttons, etc.) to measure their impact on your conversion rates. The following image displays an

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  • What is A/B testing (split testing)?

    If visitors are not converting on your website, then obviously, there is a problem that is stopping them.

    You can go ahead and ask your design team to create new designs, but the question remains: how do you know that the new designs will convert more visitors compared to the original design?

    That is where AB testing comes in handy.

    A/B testing (sometimes referred to as split testing) is the process of testing multiple new designs of a webpage against the original design of that page with the goal of determining which design generates more conversions.

    The original design of a

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