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Launching a new product can be both exciting and nerve-wracking. How can you be sure your product will resonate with customers? Will your listing attract attention and drive sales? This is where Amazon A/B testing before you sell comes into play, and tools like PickFu can make a significant difference in your product's success.
Amazon A/B testing is a powerful technique that allows sellers to compare two versions of a product listing to see which one performs better. However, waiting until your product is live on Amazon to start testing can be a costly mistake. By conducting A/B tests before you even list your product, you can optimize your offering and hit the ground running when you launch.
Pre-launch A/B testing helps you make data-driven decisions about your product, packaging, and listing elements. This approach can lead to higher conversion rates, improved customer satisfaction, and ultimately, better sales performance on Amazon.
Amazon A/B testing, also known as split testing, is the process of comparing two versions of a product listing to determine which one performs better. In a typical A/B test, you create two variations of an element (such as a product title, main image, or description) and show them to different groups of potential customers. By analyzing which version generates more interest or sales, you can make informed decisions about your product listing.
The benefits of A/B testing before selling on Amazon include:
While Amazon offers its own A/B testing tools for live listings with “Manage Your Experiments”, these don't help you before you launch. This is where third-party tools like PickFu come in, offering valuable insights before you ever list your product on Amazon.
PickFu is a powerful online polling platform that allows Amazon sellers to conduct quick, insightful A/B tests before launching their products. Unlike Amazon's native A/B testing tools, which require you to have a live listing and sales history, PickFu enables you to gather customer feedback and preferences at any stage of your product development or launch process.
Key advantages of using PickFu for Amazon sellers include:
Compared to Amazon's native A/B testing tools, PickFu offers more flexibility and faster results, making it an excellent choice for pre-launch optimization. While Amazon's tools are useful for refining live listings, PickFu allows you to make critical decisions before you invest in inventory or commit to a particular product design or listing strategy.
Getting started with PickFu is straightforward, and you can begin optimizing your Amazon product even before you have a physical inventory. Here's a step-by-step guide on how to use PickFu for your pre-launch A/B testing:
Visit the PickFu website and sign up for an account. You'll need to provide some basic information and choose a plan that suits your testing needs. PickFu offers various pricing options, from single polls to subscription plans for frequent users.
Once you're logged in, click on "Create New Poll" to start your A/B test. You'll be presented with several options for the type of test you want to run. For Amazon sellers, common test types include:
Choose the option that best fits your current testing needs.You can test different versions of your own products or compare against competitors.
Frame a clear, unbiased question for your respondents. For example:
Upload the options you want to test. This could be two different product images, two potential titles, or two product concepts. Make sure your variants are clear and accurately represent what you're trying to test.
PickFu allows you to target specific demographics that match your ideal Amazon customer. You can filter respondents based on age, gender, income level, education, and even Amazon Prime membership status. This ensures you're getting feedback from people who closely resemble your target market.
Review your settings, make any necessary adjustments, and launch your test. PickFu will distribute your poll to the selected audience and collect responses.
Within hours, you'll receive your test results. These will include:
Analyze these results carefully. Look for patterns in the feedback and consider how you can apply these insights to your Amazon listing or product development.
Based on your results, you may want to run additional tests to refine your product or listing further. For example, if you tested two product images and one was clearly preferred, you might then test that winning image against a new variant.
By following this process, you can gain valuable insights into customer preferences before you ever list your product on Amazon. This data-driven approach can significantly improve your chances of a successful product launch.
To get the most out of PickFu for your Amazon product development and pre-launch optimization, consider these best practices:
Don't wait until you have a final product to start testing. Use PickFu throughout your product development process to validate ideas, refine concepts, and optimize your offering. Early testing can save you time and money by identifying potential issues or opportunities before you invest in inventory.
While it's tempting to test multiple aspects simultaneously, focusing on one element per test yields clearer results. For example, test the product title in one poll and the main image in another, rather than changing both at once.
When testing images or packaging designs, ensure they are high-resolution and professionally presented. Poor quality visuals can skew results and won't accurately represent your final Amazon listing.
Frame your questions neutrally to avoid leading respondents. Instead of "Which amazing product would you buy?", ask "Which product are you more likely to purchase?"
Take advantage of PickFu's demographic targeting to ensure you're getting feedback from people who match your ideal Amazon customer. This can provide more relevant insights than testing with a general audience.
Don't just look at the numbers; pay close attention to the written feedback. These comments can provide valuable insights into customer thinking and may highlight issues or benefits you hadn't considered.
Use PickFu to gauge price sensitivity for your product. You can test different price points or even compare your pricing to competitor products to find the sweet spot for your Amazon listing.
Remember that many Amazon customers shop on mobile devices. When testing images or layout elements, consider how they'll appear on smaller screens.
Apply insights from your PickFu tests not just to your product listing, but also to your Amazon PPC campaigns, social media marketing, and overall brand positioning.
Interpreting your A/B test results correctly is crucial for making informed decisions about your Amazon product and listing. Here's how to approach the analysis of your PickFu test results:
If results are very close, consider:
By carefully interpreting your A/B test results, you can make data-driven decisions that increase your chances of success on Amazon. Remember, the goal is not just to identify a winner, but to understand why it won and how you can apply those learnings to create a more appealing product and listingTesting products before you launch is a great way to reduce your risk and have more confidence when you go to market. We're happy to recommend Pickfu as a unique tool that can help you succeed on Amazon.
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