Split Tests on Amazon:
Selling on Amazon can be a competitive and cutthroat marketplace….if you compete with the masses. However, simply based on the fact that you are reading this, you are far ahead of your competition. You realize that split testing your products on Amazon is the largest untapped opportunity to grow your business.
Amidst the mass of nearly identical private label products, a few slight changes can yield improvements of 30% or more in sessions, sales, and profits.
We have listed out some of the most impactful split tests that you can run, and how you can set them up. Start running these tests so that you can offer the perfect Amazon experience for your customers!
Key Performance Indicator: Click Through Rate
Increase the number of visitors to your site by testing your main feature image.
Amazon shoppers often rely on the main feature images when they are shopping. Visual cues are the fastest way for humans to process information, and determine what interests them.
When your listing appears amongst 15 other similar products, it is the feature image that will help you stand out from the competition.
What To Test:
DISPLAY EVERY ELEMENT OF YOUR PRODUCT: If your product has several components to it, or is a bundle, try including an image of each element of your product to show exactly what is included.
SHOW A DIFFERENT ANGLE: Amazon sellers have a tendency to follow a popular trend and mimic competitors. The result is listings that look very similar. This means that there is opportunity to offer a more compelling type of image that your competitors are not using. For example, show a version of your product as it would actually be used, in a “lifestyle shot”.
Actual Splitly Test Results: Main Image Test
By altering the main image of the product, this seller was able to double their conversion rate. This could be due to generating more qualified traffic by highlighting specific parts of the product in the main image, or showcasing the product more effectively, therefore converting visitors with better image rates. Or it could be a completely different reason, only the data will reveal the true reason….