23 October 2020,
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It’s possible that we increase the number of free trial sign ups but decrease the number of paid account sign ups, which means we need to measure all the way to the end of the funnel in order to get the most relevant results.

Did you find these results interesting? If you have a small amount of traffic and a small improvement in conversions, you’ll need to run your test for a long period of time. They're here for you.

You may also want to consider finding ways to drive new traffic in order to determine a winning variation in a shorter amount of time. Visual Website Optimizer makes it easy to test simple changes without getting a developer involved, but the changes eventually need to be made permanently on your site, which means you’ll need to request the services of a web developer who can implement the changes. If you’re goal is to generate more leads, then you should base the results of the test on that, not the number of people that click on your. In addition, smaller differences in conversion rates require you to run a test for longer. The next and final stat is free trial sign ups. We’ll look at these results more closely in the next section. When an A/B testing dashboard says there is a “95% chance of beating original” or “90% probability of statistical significance,” it’s asking the following question: Assuming there is no underlying difference between A and B, how often will we see a difference like we do in the data just by chance? You’ll know which links and buttons they click on the most, which ones they ignore, what they think is a link but isn’t, and where they might be confused on a site. Our example test increased click-throughs to the sign-up page by 2.5% with a 72% chance to beat the original. The answer to that question is called the significance level, and “statistically significant results” mean that the significance level is low, e.g. Takeaway: Since this isn’t a super important stat for this test, we’ll monitor it as a way to learn more about the new variation, but we won’t put too much weight on it one way or the other because sometimes versions that decrease engagement lead to a higher conversion rate for other goals which means less engagement is better than more for some variations. The chart visually shows the conversion rates for each variation and helps to get an idea how much better one version does compared to the other over the period of time that you test.

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Dashboards usually take the complement of this (e.g. Other goals can be tracked in addition to the goal that will determine a winner, but you shouldn’t base the success or failure of the test on those results. You can look at this information during and after a test to get even more information about how visitors are using your site.

One of the biggest lessons we learned from this test is that the final goal completions matter more than micro-conversion improvements from other goals. The new variation increased engagement by 2.48%, increased sign-up page visits by 2.5%, and increased free trial sign-ups by 8.21%. Conversely, if your site traffic is too low, it will take a long time to identify a statistically significant result. Let’s look at each of those more closely now. The first thing you’ll see when you click on “Reports” and then “Running Tests” in Visual Website Optimizer is a summary of your current test. This calculator helps you to know how long you should run a test in order to get relevant results. This is another stat we can learn from, but not the stat we’ll use to decide the winning variation. If this was a full-fledged test, we would also track the number of people that eventually sign up for a paid account because revenue generated is what matters the most, not necessarily the number of people who sign up for free accounts. Make sure to create your site the right way.

The more traffic your site has, the faster you’ll find statistically significant results. The percentage improvement for the most important goal for your project matters more than anything else. Thus, we’d want to track that as well. We can continue to look at the other results and conversion improvements, but since goal number three is the most important, we’re going to declare the winner of the test based on which version has better conversions for that goal. the number of people that sign up for a free trial.

This is an example of what heatmaps and clickmaps look like in Visual Website Optimizer. If we were only measuring click-throughs to the sign-up page, we wouldn’t have realized how beneficial this test was for the stat that really matters. Most tests include engagement (the number of clicks on a page)by default, and then also measure other significant goals that were set up when the test began. This shows how important it is to measure the most important goal for your site, and not micro-conversions. The primary goal for our test was to get more people to sign up for a free trial, so this is the most important goal of the three we’ve looked at so far. After clicking on “Detailed Reports,” you’ll see an option to toggle between goals and a chart representing the conversion rate for each variation (including the control). You may have started a test in VWO that’s improving conversions by 8%, but you may not know how long it will take to get relevant results. The fourth and final tool is the Test Duration Calculator. By looking at the heatmaps and clickmaps for your test, you’ll get a better idea about how people are interacting with your website. Conversions for the control are 36.41%, and conversions for the new variation are 37.32%. It also provides a quick summary table that indicates with a red or green bar whether the new variation has improved conversion rates or not (green means it has and red means it has not). Takeaway: The takeaway based on the results is very promising. It’s also important to point out that the goal that really matters the most is eventual paid account sign-ups. The Landing Page Analyzer provides a series of questions about your landing page that result in an eventual score based on different elements such as relevance, motivation, call to action, removing distractions, and reducing hesitation.

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