Listing optimization

Amazon questions analyzer

Examine customer questions to improve your product listing and drive conversions

Conversion rates drop when customers can’t find the information they need on your product page. Instead, they choose your competitors.

Customer questions on Amazon are the potential customers ask the seller on the product listing page. The information the customer was looking for either wasn’t available on the product page or it wasn’t easy to find.

A lot of reviews mean a lot of questions, and it’s time-consuming to review all of them and try to identify common themes. The Advigator Chrome extension uses AI to analyze customer questions and group them based on common themes for sellers’ convenience.

How it works

  1. Install the Advigator Chrome Extension
  2. Go to Amazon.com (or any other countries)
  3. Search for your main keyword in the Amazon search bar (e.g coffee maker,yoga mat,fitness tracker**)
  4. Click on the “customer questions” tab

Data from customer questions can be exported as a CSV.

Amazon main image requirements

How to use AI to analyze Amazon customer questions?

The Chrome extension uses AI to analyze customer questions and group them based on topics. This helps sellers understand the information potential customers are seeking so they can be sure to include it on their product page.

Is it important to review customer questions?

Don’t overlook this! These questions are another important connection with your potential customers. Potential customers have a short attention span, and the information they are searching for is a barrier to making a purchase. Update your product listing to make the answers to their questions quick and easy to find.

In addition to analyzing questions customers asked, sellers should be sure to always monitor for an respond to new questions. This will elevate the seller profile and boost trust by being showing potential customers the brand is dependable.

Let’s look at an example of what information customers searching for “fitness trackers” are looking for.

Amazon main image requirements

The most commonly asked question related to fitness trackers was compatibility. If we want, we can look at each question asked about compatibility.

The second most commonly asked question was about functionality. The least common questions were related to usage, health, warranty, and availability.

Sellers can use these unfiltered questions to update their product pages. For example, a vendor selling fitness trackers may decide to include compatibility in their product bullet points or as a secondary image.

Customer questions can also be analyzed based on the ASIN instead of by keyword.

Let’s continue with our fitness tracker example. If you’re a fitness tracker vendor, how can you address these most common questions about usage, health, warranty, and availability easily on your product page?

We can see this information best explained using secondary images. To learn more, read our blog post “Effective strategies to enhance product images.”

In this example, Fitbit included usage information in the title and the secondary images. They had 3 secondary images devoted to usage, in this image, they are highlighting the activity tracking feature.

Amazon main image requirements

The Mingwear smartwatch also had several usage scenarios. In this example, they highlighted usage and features together in a secondary image and also included it in the title but in a randomly distributed way.

The Advigator Chrome extension told us that usage is the most popular question theme, therefore Fitbit was the clear winner in this scenario. They understood what information potential customers were looking for and conveyed it in a clear, easy-to-understand way through 3 separate secondary images devoted to this information.

Amazon main image requirements Reviewing customer questions helps sellers bridge the gap between information customers are searching for and what’s missing on their product page. Customer questions are good indications of barriers for purchase, updating the information on the product page or even making changes to the product itself will help boost customer confidence and drive conversions.

The same AI technology providing data-driven insights on customer questions, also analyzes customer reviews.