With almost 500 million products on Amazon, how do you stand out from the crowd? Split testing is one of the most effective means to optimize your Amazon product listings and increase engagement and sales on your products.See Split Testing in Action Start your Amazon Split Test
What is split testing on Amazon?
Split testing on Amazon is an experiment between two or more variations to see which variation in the set performs best. For Amazon split testing, you might test variations of your product name, its featured photo, or the product description. Split testing is also known as A/B testing because there is a version called A and a version called B. (If you add a third and fourth version, it’s called an A/B/C/D test).
Amazon split testing tool
Traditional split tests direct a portion of your Amazon traffic to one test variation and another portion to a different variation. After the test, you compare how shoppers behaved with each variation. For instance, on average, did one set of visitors browse for longer? Did one set convert at a higher rate?
Many software split testing tools exist to help sellers run split testing on Amazon, including
However, the traditional Amazon split tests that these tools offer have some limitations:
- For one, in order to gather enough data to make an informed decision, you have to accrue enough traffic to test.
- In order to do this, you’ll probably need to pay to promote your products on Amazon, which can become expensive.
- The tests also may take quite a bit of time, depending on the traffic levels.
- Further, because you’re using live traffic for your test, you risk seeing an adverse effect on sales if a test variation performs worse than your current listing.
Split testing on Amazon using PickFu
PickFu is a polling software that enables you to quickly test elements of your Amazon listing with audiences that match your customer profile and target demographics.
Differences between live split testing and PickFu polling
- Traditional split tests use Amazon shoppers as they are shopping as test subjects.
- The PickFu Panel is comprised of U.S.-based respondents who are paid a small stipend to answer your poll. A popular audience available to test on PickFu is Amazon Prime members. However, a PickFu split test is conducted outside of the Amazon marketplace.
- When running a traditional split test, Amazon shoppers are not aware that their behavior is being monitored. They do not know that there are other versions of your listing other than the one they are seeing.
- On PickFu, the Panel sees all variations in order to compare them and provide their feedback. Not only does each respondent vote on the variation they like best, but they each also provide a written comment explaining why the chose their preferred option. These written comments provide insight into what works with shoppers to help guide your decisions.
- Traditional split tests often take days or weeks to complete.
- Using PickFu, most polls complete in less than 15 minutes.
- The cost of traditional split testing on Amazon is often unpredictable. You need to pay for the testing software you’re using to split test, as well as the cost of the ads you’re running to build traffic. In addition, you risk losing revenue with a live test if one version has an adverse effect on sales.
- With PickFu, the cost is a flat fee. Polling starts at $50 but changes with different options you can use to customize your poll.
- Traditional split tests use live Amazon listings.
- On PickFu, your product does not need to be live on Amazon. You can test product variations such as color options or design before going into production. Get a sense of what shoppers want before committing to inventory.
- Traditional split tests can only compare variations of your own Amazon listings.
- Using PickFu, you can perform competitive analysis by polling your listing against competing listings. Gain insight into how your product fares against category leaders.
What can you split test?
Using PickFu, you can test every element of your Amazon listings, such as
- product names
- photography, especially the listing’s featured photo
- product descriptions
- packaging design
- product videos
- product bonuses or add-ons
- ad headlines and copy