Here's what you need to know about split testing in 2020

What is split testing? Learn all about this valuable tool for evaluating your marketing efforts with these helpful resources.

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Here's what you need to know about split testing in 2020

Resources

Key quotes:

  • "VWO, or Visual Website Optimizer, is a leading all-in-one Experience Optimization platform in the Conversion Rate Optimization industry of today."
  • "Now that we know what is VWO and the tools it offers, let’s find out how to run an A/B test in the Visual Website Optimizer you’ve heard so much about."
  • "Just edit the element you want to test and the Visual Website Optimizer will automatically recognize it as a Variation 1, and when you will see Modifications (1) right under it you are ready to proceed further."
  • "Here you tell a VWO editor what exactly you want it to do: You can press Include URL to add another page to monitor and press Add Another Goal to track a number of different conversion actions across your designated URLs."
  • "After you’re done press Next to get to the final step of the VWO A/B Testing Guide tutorial."
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Key quotes:

  • "Depending on the traffic to your site, different marketers will be able to run different degrees of tests and still find statistical significance."
  • "Key Takeaway: Test big changes on low traffic campaigns (while still keeping it one change per test)."
  • "Even if you’re making big changes on high traffic campaigns, you still need to ensure that you’re reaching statistical significance before calling it a day."
  • "Take a look at this example from Peep Laja of ConversionXL, where he walks through how a test that was losing by over 89%, managed to come back and beat the original by over 25% with a 95% confidence level."
  • "Key Takeaway: Know where your traffic is coming from and what they’re looking for."
  • "There’s no better feeling than having one of your A/B tests destroy the original so that you can go on to crown yourself “King of Conversion.” But before your inauguration, you might want to double check your findings to ensure that the results weren’t just a fluke and that you’ve actually drilled down to some meaningful results."
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Key quotes:

  • "If you are new to testing, you may assume that Version A is the winner in both, but without knowing the audience size, you would be foolish to bet on either."
  • "The testing option is called “A/B tests” for standard email sends, “Champion/Challenger” for nurture programs and triggered emails, and “test groups” for landing pages."
  • "If you’re short on people, you can always put 100 percent of your audience in your test group to be more confident in the results."
  • "You can A/B test by cloning your email, editing whatever you want (copy, subject, sender, and so on), and creating two different versions."
  • "The existing version in your program is your “champion”; the new version is the “challenger.” Champion/challenger emails are part of ongoing programs, so it will take longer to reach a significant audience sample size."
  • "Good to know: In reports showing performance across all of your landing pages, both versions in your A/B test group will roll up together for a clearer view of your data."
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Key quotes:

  • "But if you want to create experiments that drive business growth, you need to perform both types of research, then design research-based hypotheses."
  • "Now, as great as this sounds, basing your test hypotheses purely on quantitative research is limiting."
  • "Sure, any test hypothesis generated based on quantitative research will still be more useful than a hypothesis based on nothing but you’ll still be guessing at what solution to test, because you don’t know the root cause of the problem."
  • "Here’s an example: Imagine your analytics data (quantitative research) reveals a product page with an unusually low add-to-cart rate."
  • "But when you use quantitative AND qualitative insights together, you can pinpoint what’s wrong, learn why, and boost the quality of your A/B test hypotheses."
  • "Assuming, guessing, or following opinions when it comes to launching an A/B test or making a change on a website will all lead to the same results I’ve previously mentioned: But when you leverage the Testing Trifecta to guide your website optimization program, you’ll combine the best of your qualitative and quantitative insights to generate solid, data-driven hypotheses."
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Key quotes:

  • "By using Conversion Rate Optimization tools like A/B testing and behaviour tracking, ecommerce owners and their marketing managers are able to analyze how users interact with the website and make adjustments based on those findings."
  • "Before learning how to run an A/b test in Convert, let’s find out what this Conversion Rate Optimization tool is."
  • "So, according to the Convert A/B testing tool itself, it offers 4 types of tests, which are also visually displayed using cutely sliced lemons and limes in the image below: Convert A/B testing tool includes a large range of functions, which cover all of your personalization and conversion optimizations needs head to toe and include: Conver’s third-party integrations include industry giants like Kissmetrics, Mixpanel, WordPress, Joomla, Hubspot, Shopify, Magento and tens of others, while in the next section we will find out how to A/B test using Convert."
  • "After entering your contact information, you will end up on the Projects page > New Experience > A/B > Type in the Name > Enter the URL, to be used in the Visual Editor > Continue."
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