View the reviews of all of the products on sale listed on vendor sites. Users will not only be able to track the ratings given for a specific item but also view the title and username of the customer that has provided this feedback. Reviews are also important not just for tracking quality of the product, but as a proxy for sales. The more a product is bought, the more it is reviewed. This data set would be important to investors, since the products that are receiving good reviews are the ones being sold more, which would generate a higher revenue for the vendor.

Reviews are also important not just for tracking quality of the product, but as a proxy for sales. The more a product is bought, the more it is reviewed.

Here is an example where we are tracking the number of reviews daily by URL count over time for Leesa:

The average rating percentage for Leesa over time:

Here is the link for the documentation on the columns for this dataset: Columns Definition