What is Amazon Sellers Data? Examples, Datasets and Providers
What is Amazon Sellers Data?
Amazon sellers data refers to information about sellers and their products on the Amazon marketplace. Itâs used to analyze market trends, optimize product listings, and track competitors.
What Are Examples of Amazon Sellers Data?
Here are examples of Amazon sellers data:
- Seller profiles
- Ratings and reviews
- Sales performance metrics
- Fulfillment methods (FBA/FBM)
- Seller response times
- Customer feedback on merchant performance
Best Amazon Sellers Datasets & APIs
Amazon Sellers & Non Amazon Sellers Data | 1.5M+ Contacts | (Verified E-mail, Direct Dails) | Decision Makers Contact Details | 20+ Attributes |
Amazon Seller Directory 2024 | Amazon Seller Database USA, FR, Germany, ESP, UK, Italy, CA | List of Amazon Sellers | 200K+ Amazon Seller Leads|
Amazon seller lists - 960k+ sellers from 7 international marketplaces | scrapelabs.io
SellerDirectories | CN Amazon Sellers Data | Trusted human researched CN Sellers Database| B2B Lead Direct Email Phone | 10K records
OpenWeb Ninja | Amazon Data, Product Data, Product Reviews Data, Product Offers, Best Sellers, Deals + More | Ecommerce Data | API | Real-Time
Amazon Data | Ecommerce Data | Amazon Product Data | Amazon Reviews Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample
Grepsr| Buy Box Monitoring Data Service from Amazon | Global Coverage
SellerDirectories | FR Amazon Sellers Data | Trusted human researched FR Sellers Database | B2B Lead Direct Email Phone | 10K records
Monetize data on Datarade Marketplace
Amazon Sellers Data Use Cases
Amazon Sellers Data Explained
Use Cases of Amazon Sellers Data
Generally, Amazon Sellers Data is used by sellers to gain insights into their product performance compared to competitors, optimize pricing, plan demand, improve conversion rates, and refine marketing strategies. Hereâs a closer look at three core use cases for this kind of database.
Main Attributes of Amazon Sellers Data
Hereâs a table of the main attributes you might find on Amazon Sellers Datasets:
| Attribute | Description |
|---|---|
| Seller ID | Unique identifier for each Amazon seller |
| Seller Name | Name of the Amazon seller |
| Seller Location | Location of the sellerâs business |
| Seller Rating | Rating or feedback score of the seller |
| Number of Ratings | Total number of ratings received by the seller |
| Product Category | Category of products sold by the seller |
| Product Count | Total number of products listed by the seller |
| Order Fulfillment | Method used by the seller to fulfill orders |
| Shipping Options | Shipping options provided by the seller |
| Return Policy | Sellerâs policy regarding product returns |
| Product Reviews | Reviews and ratings of the sellerâs products |
| Branding | Branding efforts and brand recognition of the seller |
Frequently Asked Questions
How Are Amazon Sellers Data Products Priced?
Amazon sellers data are typically priced based on various factors that determine their value and usefulness for potential buyers. These factors include the size and scope of the dataset, the level of detail and granularity it provides, and the frequency of updates. Additionally, the pricing may also depend on the specific data fields included, such as product information, customer reviews, and other seller metrics. The reputation and reliability of the data provider can also influence the pricing. Generally, larger and more comprehensive datasets with frequent updates tend to be priced higher, as they offer more valuable insights and a competitive advantage to businesses looking to optimize their Amazon selling strategies.
How is Amazon Sellers Data Collected?
Amazon sellers data is primarily collected through publicly accessible sources such as customer reviews, product listings, and publicly shared seller metrics on the Amazon marketplace. Additionally, third-party data providers and analytics tools can aggregate and analyze publicly available data for more comprehensive insights.
Whatâs a Quality Checklist for Amazon Sellers Data?
A quality checklist for Amazon sellers data may include ensuring data accuracy, completeness, and consistency. It involves verifying that the data is up-to-date, reliable, and properly categorized. It also involves assessing the data sources, evaluating data security measures, and adhering to privacy regulations.