The LQS column stands for Listing Quality Score, and is an in-house algorithm that determines the quality of a listing. This can be helpful when looking for products in that the opportunity may exist by simply increasing the quality of your listing compared to your competitors.
The LQS takes into account the length and keyword richness of a listing's title, its bullet points and description, as well as the number of pictures on the listing and the resolution of the photos.
You can find the LQS filter and column in the Extension as well as in Jungle Scout's Product Database and Niche Hunter.
To find products whose listings you can improve, enter your LQS filter parameters into the 'Listing Quality' min and max fields, and then click the orange 'Search' button. The database will comb for items within those parameters, and the results will be shown under the LQS column for each ASIN that fits your search criteria:
If you don't see the LQS column right away make sure that it is included in the visible columns from the settings tab. You can find more detailed instructions in this article: Why can't I see the Listing Quality Score in the extension?
How can I use this information to find a product?
In general, listings that score under 3 represent a very poor quality listing. If you see products with high demand and low competition with poor LQS's it represents a good product opportunity that is worth looking into more. We always suggest adding potential items like this to your Product Tracker and monitor its performance over time.
If you find listings 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 there is no opportunity, but you will need to dig in 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 listings? These are just a few things to consider, but once again, we recommend tracking the item using the Product Tracker to give you more data to make a decision from.