The LQS or Listing Quality Score is an in-house algorithm that determines the quality of a listing. This can be helpful when looking for potentially good products, as simply improving the quality of your listing could give you an edge over your competitors.
The LQS takes into account the length and keyword richness of a listing's title, bullet points, and description, as well as the number of pictures and the resolution of the photos on the listing. Product listings are graded 1-10, with 10 being the best.
You can find the LQS as an optional filter in Extension as well as in the Product Database (plus, you can see an average LQS in the Product Tracker).
To find products with listings you can potentially improve upon, enter your parameters into the LQS filter Min and Max fields, and click 'Search'. The database will comb for listings within those parameters, and the results will be shown under the LQS column for each ASIN that fits your search criteria:
⚠️ In order to see the LQS column, please be sure to enable it from within the "Customize view" options. If you don't see this value, please double-check your settings to make sure you have activated this option:
- Click Customize View
- Select the LQS option from the list of columns
- Click Apply
Using the Listing Quality Score to Find a Product
In general, ASINs with a score below 3 represent very poor-quality listings. If you see products with high demand and low competition with poor LQS, these might be good opportunities. We always recommend adding potential products like this to your Product Tracker and monitoring their performance over time.
If you find ASINs with an LQS of 7 or more, these tend to be more high-quality listings. This does not necessarily mean that they are a bad product choice or that there is no opportunity, but you will need to dig deeper...
• Are there other things about these products that can be improved upon?
• Is there high demand and low competition that outweighs the quality of the competitor's listing?
These are just a few things to consider, so we recommend tracking those items to get more data points to make an informed decision.