Amazon A/B Testing: The Optimization Secrets Used by Big Sellers

A/B testing is a way for Amazon sellers to optimize product listings and increase product conversion rates. By changing some factors of the listing, you can compare and test which one works better.

Through A/B testing, sellers can improve listings, increase traffic and rankings, and ultimately increase conversion rates.

Which factors in the listing can be A/B tested?

To conduct A/B testing, sellers should start with the entire browsing process of consumers. What do they see first? What are their concerns?

Product Title

This is the most important information in your listing. It shows users what you offer and is directly related to search result ranking. Every element in your product title needs to be A/B tested, even the word order. Should the brand be put first, or the product category? Do you need to add size, color, etc., and then find the factors that affect traffic and conversion rate.

Bullet points

Bullet points are an important factor in motivating buyers to place orders. They generally include keywords and information that users need. Buyers need to test the order and number of bullet points to find the best combination.

picture

Pictures also need to be tested. What kind of pictures satisfy consumers? Color has a great impact on customer psychology, so if the product has different colors, you can test which colors of products have more visits. For example, red in China represents good luck, so red products can attract the favor of domestic users.

Product Description

Just like bullet points, you should test each element of the product description to determine what is the most important and what can be placed at the end. If users read all the product descriptions, it means that your optimization is done well.

price

The essence of the Amazon platform is that the more sales you have, the easier it is to get sales. Sellers can optimize your prices based on sales and profits, and then conduct tests. Note that testing is to adjust prices, not promotions, so the price setting is within the normal range for testing.

A/B Testing Tools

It is not possible to implement A/B testing manually, as this will undoubtedly take a lot of effort, and it will take even longer to find the best solution for all factors.

There are many variables that affect Amazon sales, including the market, seasonality, and competitors. You cannot determine whether sales are naturally higher or higher because of image optimization. In addition, the test must be run simultaneously. For example, for images, you need two listings with different images. Such a complicated task cannot be effectively evaluated by manpower alone.

So we need to use tools to complete the test. Here are two A/B testing tools:

Dojo

Website: https://www.listing-dojo.com/landing/welcome.html

Dojo is an Amazon A/B testing tool that can test up to 7 variables at a time and return the results for each variable. The report analysis provided is easy to read and explains how to increase the sales and profitability of your listings. The data from the test is displayed in charts.

Using the Dojo tool, you can create a series of tests in just a few minutes.

Splitly

Website: https://www.splitly.com/

Splitly provides automatic testing services. You only need to upload the variables, and then run it automatically. It will rotate the variables for testing and calculate the results to help sellers create the most perfect listing.

How to use Dojo for testing

The testing steps of Dojo are as follows:

Create a free Dojo account, authorize your Amazon account, and accept access to the tool so you can see your product catalog and sales history.

Choose the variables to test, such as price, image, title, description, etc. It is recommended to start with price, because this variable is easier to operate and has the greatest impact on the listing. Description and title are more difficult, so you can take your time.

Create tests, gradually change variables and measure the impact, and use the variables that work on your listing.

Determine the test run time, including the time to run each variable. A week is recommended.

Look at the metrics, evaluate the impact of the variables, and then summarize them to create a high-quality listing.

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