Since April of 2013, Vertical Knowledge has tracked a daily collection of US bestseller information across 32 categories. This collection includes purchased products by date and product name linked to brand name as well as both the product list price and final sale price across thousands of public and private companies.
This data can be leveraged to gain day-by-day insights into the Retail sector to help predict product segment level sales and trends for a given company; across competitors; and for a given sub-industry. Consumer sentiment data is reflected by a 1-5 product rating scale complete with the count of ratings for each product that you can correlate with sales and pricing data as another predictor of where each product/brand is likely to trend. This data set has historically been very valuable to investment managers in understanding product launches and consumer reception. Upon launch of a next generation product, comparisons can be made to previous generations adoption and gain insight into the relative viability of the new product.
Categories Include:
* Appliances
* Appstore for Android
* Arts, Crafts & Sewing
* Automotive
* Baby
* Beauty
* Books
* Camera & Photo
* Cell Phones & Accessories
* Computers & Accessories
* Electronics
* Gift Cards Store
* Grocery & Gourmet Food
* Health & Personal Care
* Home & Kitchen
* Home Improvement
* Industrial & Scientific
* Kindle Store
* Kitchen & Dining
* MP3 Downloads
* Magazines
* Movies & TV
* Music
* Musical Instruments
* Office Products
* Patio, Lawn & Garden
* Pet Supplies
* Software
* Sports & Outdoors
* Toys & Games
* Video Games
* Clothing, Shoes & Jewelry
*Don’t see what you are looking for or interested in sample data? [Vertical Knowledge](https://vk.ai) has hundreds of data sets with history as well as custom collections. [Contact VK now.](https://vk.ai/contact.html)*
Highland Math has consolidated public data sets pertaining to the Covid19 pandemic and its societal impact.
This data set contains NinthDecimal visitation data on the top Retail Clothing Store brands in the U.S.
| Heapery Attribution License | Heapery-Private |
| Category | Business & Industry |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Dataset is free and provided as-is |
