DataHawk's Listing Quality Score is a metric computed by DataHawk that assesses how a product listing page complies with Amazon's content guidelines and our recommendations to help the product rank higher and increase conversions.

The higher the score, the better!

Get started by creating your projects and adding products to them once you are logged in to the platform. There are two ways by which you can access the LQS:

1) Listing Analysis Tool:

The Product Details page gives you access to the various tools that you can use to analyze your products. You can reach the Listings Quality Score by clicking on the "Listings" tab where you see the "Listings Quality" tab.

Here, you have a snapshot of the selected product's LQS which enables you to audit the quality of your product listings via detailed scores and monitor its changes. You can choose to analyze the LQS of the selected product for a desired range of time shown by day, week, or month as per your choice.

DataHawk also provides you recommendations to improve your listings, you can hover your cursor over each Subscore to have suggestions that lead you to Amazon compliant product listings.

While the detailed Product Listing Quality tool can be accessed from a product's page under the Listings Analysis tool, the executive Listing Quality Score Dashboard can be accessed from the SEO Section.

2) SEO Dashboard:

The Search Engine Optimization Dashboard provides an overview of metrics related to organic search performance and product listing quality.

The Listings Quality Score section sits in the SEO Dashboard that is on DataHawk Home Page.

Click on the "Listing Analysis" tab from the top left section next to the navigation bar.

This enables you to study the evolution of the Listings Quality Score of products on an account-level, project-level, and product-level basis. In there, you have a breakdown of tracked products with detailed listing scores and status, namely, good, acceptable, improvable & bad.

(The Listing Quality Subscores go into the computation of the overall Listings Quality Score.)

Optimize the content with an analytical approach with DataHawk.

Learn how to use DataHawk Listing Analysis tool

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