What is Retail & Commerce Data? Examples, Datasets and Providers
What is Commerce Data?
Commerce data is information generated from commercial activities, such as sales, transactions, and customer interactions. Commerce data provides valuable insights into market trends, consumer behavior, and business performance. By analyzing this data, businesses can take decisions, optimize operations, and enhance customer experiences.
What Are Examples of Commerce Data?
Examples of commerce data include:
- Product data
- Prices
- Inventory
- Customer preferences
- Sales channels
- Transaction data
- And more.
Best Commerce Databases & Datasets
Here is our curated selection of top Commerce Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Amazon Data, Product Data, Product Reviews, Best Sellers & Deals + More | E-Commerce Data | Real-Time API
Retail Store Data | Retail & E-commerce Sector in Asia | Verified Business Profiles & eCommerce Professionals | Best Price Guaranteed
Grepsr | E-commerce Data | Product and Review Datasets from Ecommerce websites | Global Coverage with Custom and On-demand Datasets
Crawlbee | Alternative Data | Web Scraping | Custom Datafeeds | Consumer Data | Commerce Data
Product Pricing Data , Price Drop & Price Change Alert - Get all Product Data & commerce Data Easily | Avg. 7 days Refresh Rate | Free Trial
Bright Data | Global E-commerce Data - Global Coverage - Trending Products, Consumer Sentiment, Inventory-level Product Data
Consumer Edge Vision Competitor Intelligence & Analysis | Retail & Ecommerce Product Data | US Commerce Transaction Data | 100M+ Cards, 12K+ Merchants
Xverum: APAC Commerce Data | Individual&Company Data | APAC B2B Data | Verified Consumer Data | Trial without Fees | 1B Data Updates Monthly
Shopify, Woocommerce Data | Global Shopify Woocommerce Customers | 1M+ Contacts | (Verified Email, Direct Dials) | Decision Makers | 20+ Attributes |
eCommerce Company Data | 320K Stores | API & Bi-Weekly Updates | Technographic Insights
Monetize data on Datarade Marketplace
Popular Use Cases for Commerce Data
Commerce Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Commerce Data.
Frequently Asked Questions
How Often Is Commerce Data Updated?
Update frequency varies based on the data source and provider. Some datasets refresh as frequently as every minute, while others update daily, weekly, or monthly. Choose an update frequency that aligns with your need for real-time analysis or long-term trend insights.
In What Formats Is Commerce Data Delivered?
Commerce data is typically available in formats such as CSV, JSON, XML, and XLS, allowing easy integration into most data systems. Many providers also offer custom data feeds, APIs, or secure downloads to streamline data delivery and integration with your existing platforms.
How Can Commerce Data Be Used for Competitive Analysis?
Commerce data supports competitor analysis by tracking metrics such as market share, pricing strategies, customer overlap, and product popularity. For example, you can identify which products or merchants have high cross-shopping rates with your brand or monitor changes in competitor pricing and customer loyalty trends.
What Geographic Coverage Does Commerce Data Include?
Geographic coverage depends on the provider and dataset. Commerce data typically covers major regions such as North America, Europe, and Asia, with some providers offering global coverage across multiple countries. Select data sources that provide relevant geographic insights for your target markets.
How Much Historical Data Is Available?
Historical data availability varies, with some providers offering data going back several years, which can be beneficial for trend analysis and forecasting. Typically, historical commerce data spans between 1 to 10 years, allowing for long-term insights into market and consumer behavior changes.
What Are the Common Use Cases for Commerce Data?
Commerce data is commonly used for competitive pricing analysis, consumer profiling, customer segmentation, dynamic pricing optimization, and inventory management. It also helps with demand forecasting, customer loyalty analysis, and cross-shopping trends, supporting both strategic and operational business decisions.
What Are the Pricing Options for Commerce Data?
Pricing models for commerce data include one-off purchases, monthly or yearly licenses, and usage-based options. Some providers offer free samples or discounted trial periods to let you explore data quality and assess if it fits your requirements before committing.
How Can I Track Price Changes with Commerce Data?
Commerce data enables tracking of real-time or periodic price changes across various products and categories. You can set up alerts for specific products or brands, monitor price trends, and analyze competitor pricing dynamics. This helps in optimizing pricing strategies and identifying opportunities for price adjustments.
Can Commerce Data Be Customized for My Business Needs?
Yes, many providers offer customizable data feeds, allowing you to select specific attributes, frequency, and regions of interest. Custom options may also include filtering by product categories or sales channels, enabling tailored datasets that meet your unique business goals.
Is Commerce Data Secure and Compliant?
Our commerce data providers adhere to data privacy and security standards, especially when handling consumer transaction information. Look for providers that comply with regional data regulations like GDPR and employ secure data transfer methods such as encrypted APIs and secure file downloads.
What Kind of Consumer Demographics Does Commerce Data Include?
Commerce data often includes demographics such as age, income, gender, and location, along with behavioral indicators like purchase frequency, product preferences, and retention rates. This demographic data aids in customer profiling, segmentation, and personalized marketing strategies.
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