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Selling on Amazon isn\u2019t always about offering the best product at the best price \u2014 over two-thirds of shoppers \u201ctrust their gut\u201d over rationale when making purchasing decisions<\/a>, so sellers are better off appealing to their emotional side. But how can you guess what your customers really<\/em> want? With Amazon split testing, you don\u2019t have to guess at all.<\/p>\n Amazon split testing, or \u201cA\/B testing,\u201d effectively takes the guesswork out of choosing the best product photos, text copy, and even pricing. Amazon\u2019s native Manage Your Experiments<\/a> (MYE) tool even lets you test different images and other variables live on Amazon to see which perform best so you can make informed decisions without a shadow of a doubt.<\/p>\n But how does Amazon split-testing work? What can you test? Are you even eligible? Below, we explain everything you need to know about A\/B testing on Amazon so you can get started right away.<\/p>\n Split-testing in general is a great aid for eCommerce, whether you use Amazon\u2019s MYE tool or an independent service. As mentioned above, you no longer have to guess<\/em> what your customers want; they tell you directly through minimal trial and error.<\/p>\n But how specifically does Amazon split-testing help? The minutiae and tiny details of your listing, such as price, images, and product page text, all have an enormous impact on customer opinion and conversion rates, but the effects may not always be evident at first glance. That\u2019s where A\/B testing comes in.<\/p>\n In split testing, two different versions of the same image or page are shown to different users, and the results are recorded. Typically, the versions are similar except for one key variable \u2014 the same image in different colors, or the same product page with different product titles \u2014 but you can also test drastically different versions if you prefer.<\/p>\n Split testing works best when the test-takers are your target audience. With Amazon MYE, your experiments appear directly in the Amazon marketplace just like regular products. That means they\u2019ll show up normally when customers hit your target keywords or click your ads, appearing in front of the people they\u2019re supposed to.<\/p>\n From there, you check to see which version performs better. Do your shoppers prefer a close-up product photo, or maybe one that shows everything included in the package? Is your ideal price just as ideal for shoppers? You don\u2019t need to guess anymore, you can find out for sure.<\/p>\n Amazon split-testing is one of the most effective and data-driven methods of optimizing your product pages. Tailoring your pages to your specific customers\u2019 wants not only increases conversions<\/a>\u00a0but also creates more satisfied customers \u2014 and satisfied customers usually come back.<\/p>\n Ecommerce success has a snowball effect, so the more sales you make, the easier it is to rank on page 1 of Amazon<\/a>. In this way, those tiny details in your pages and pictures add up to make a big difference.<\/p>\n Amazon\u2019s own split-testing tool, Manage Your Experiments, still have limited access. The good news is that any<\/em> Amazon seller can still use A\/B testing from an outside source to improve their Amazon sales.<\/p>\n For starters, MYE is only allowed for sellers who:<\/p>\n Moreover, the variables you can test through MYE have limited as well: essentially just product images and titles, along with A+ Content for those who use it.<\/p>\n If you don\u2019t meet these criteria, don\u2019t sweat it \u2014 you can always work with an independent split-testing service like PickFu<\/a>. These can sometimes be more useful than MYE; for example, they allow you to test more variables like pricing and experimental products.<\/p>\n Even more alluring is the safety of testing outside<\/em> of Amazon. MYE uses actual Amazon users, so if one of your samples performs poorly, those real shoppers won\u2019t know it\u2019s just an experiment. In other words, if you\u2019re testing something that\u2019s truly a risk, you might make a bad impression on potential customers.<\/p>\n What can you test on Amazon MYE? Here are some of the best ways to use Amazon split testing to improve your sales strategies.<\/p>\n Split-testing has deep roots in image optimization, making it ideal for finding the perfect product photography. At its core, A\/B testing is just a poll to see which picture people like better.<\/p>\n Because product photography is so vital to eCommerce, it requires more than just staying up-to-date with the current eCommerce photography tips<\/a>. Different customers have different tastes \u2014 some prefer pictures that demonstrate how the product works, others prefer more aesthetic or \u201cprettier\u201d pictures. The perfect product photograph is different depending on what you\u2019re selling and whom you\u2019re selling it to.<\/p>\n Amazon split-testing answers unequivocally which product photos will work best for your brand. You can test on either a large and small scale: for example, you can test two completely different images or similar images distinguished with a single variable (like including your logo in the corner).<\/p>\n Maybe your product photo would benefit from an insert of someone actually using the product? Demonstration photos can show shoppers how to use a product, increasing sales by clearing up some confusion. Of course, maybe that insert would make your product photo too crowded. The only way to know for sure is through testing on your actual customers.<\/p>\n On Amazon, product titles work two jobs: describing the product to shoppers and hitting the right SEO keywords to show up in the right feeds. Both of these can be perfected by split-testing your product titles through Amazon MYE.<\/p>\nHow Amazon Split-testing Increases Sales<\/h2>\n
Who is Eligible for Amazon Split-testing?<\/h2>\n
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How to Use Amazon Split-testing with MYE<\/h2>\n
Optimize Product Photography<\/h3>\n
Better SEO Keywords and Product Titles<\/h3>\n