What is Ecommerce Merchant Data? Examples, Datasets and Providers
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Ecommerce Merchant Data?
Ecommerce merchant data is information collected and stored by online businesses about their customers, transactions, and products. This data is crucial for businesses to analyze customer behavior, personalize marketing efforts, improve customer service, and make informed business decisions.
What Are Examples of Ecommerce Merchant Data?
Examples of Ecommerce merchant data include information such as:
- Product listings
- Customer orders
- Payment details
- Shipping information
- Customer reviews
- Contact information
- Purchase history
Ecommerce merchant data is used for various purposes, including inventory management, order fulfillment, customer relationship management, marketing analysis, and improving the overall customer experience.
Best Ecommerce Merchant Databases & Datasets
Here is our curated selection of top Ecommerce Merchant 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.
Ecommerce Merchant Data | Retail Executives Worldwide | Verified Emails & Phone Numbers for Global Leaders | Best Price Guaranteed
Global Ecommerce Data | Ecommerce Product Data | Ecommerce Merchant Data |Â Customizable & Bespoke Web Data
Vision Retention Data | CPG, Grocery, Food Delivery Psychographic | US Transaction | 100M+ Cards, 12K+ Merchants, Retail & Ecommerce
Ecommerce Merchant Data | Global E-commerce Professionals | 170M Verified Profiles | Work Emails & Direct Phone Numbers | Best Price Guarantee
AIKE | Brands Shopper Data: Comprehensive Consumer Insights with Audience data, Identity data, and Ecommerce Data
DataForSEO Merchant dataset: Google Shopping API and Amazon API, all Google and Amazon locations, real-time or or queue-based ecommerce data
Envestnet | Yodlee's De-Identified Ecommerce Sales Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Vision Competitor Intelligence & Analysis | Retail Data & Ecommerce Product Data | US Commerce Transaction Data | 100M+ Cards, 12K+ Merchants
eCommerce Data | Verified eCommerce Data for Contacts and Companies – Best Price Guarantee
AIKE| Consumer purchase data with 40+ demographic attributes| Transactions with Demographic data & Lifestyle attributes| IP, MAID, HEM| Investors
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Top Ecommerce Merchant Data Providers & Companies
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Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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McGRAW
CoverageUSAUK+248VWe have been working with McGRAW for over two years, and their real estate investment data has been crucial to our marketing efforts. Their excellent customer support and timely insights have greatly improved our campaign effectiveness, leading to multiple property contracts. Thanks to McGRAW, we are confident utilizing their data in our marketing and sales efforts to sell our remaining units. We look forward to continuing our partnership with their data team.
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Reomnify
CoverageUSAUK+247Power your analysis with the bespoke and off-the-shelf datasets created by our powerful data platform. We work across all markets and supply some of the largest companies in retail, real estate and digital. -
APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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AutoScraping
CoverageUSAUK+248We convert millions of unstructured data on structured, clean and precise data.+300Clients100%Job succes on Upwork+100kScraped websites -
Exellius Systems
CoverageUSAUK+247VTheir meticulously curated database delivered an impressively high email delivery rate, reaching key decision-makers in our industry. The accuracy of their contacts saved us time and resources, making our campaign highly effective. Their responsive and supportive team further enhanced the overall experience. We highly recommend their services for anyone seeking top-notch databases for successful email campaigns.
Popular Use Cases for Ecommerce Merchant Data
Ecommerce Merchant 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 Ecommerce Merchant Data.
Main Attributes of Ecommerce Merchant Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | A hashed email address with algorithms like SHA, MD5, etc. | View 7 datasets | |
| String | The Internet Protocol version 4 (IPv4) address of an endpoint. | View 7 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 7 datasets | |
| String | The name of a brand. | View 6 datasets | |
| String | The currency code as per ISO 4217. | View 6 datasets | |
| String | The ticker symbol of a stock. | View 5 datasets |
Frequently Asked Questions
How is the Quality of Ecommerce Merchant Data Maintained?
The quality of Ecommerce Merchant Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Ecommerce Merchant Data Updated?
The update frequency for Ecommerce Merchant Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Ecommerce Merchant Data Secure?
The security of Ecommerce Merchant Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Ecommerce Merchant Data Delivered?
Ecommerce Merchant Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Ecommerce Merchant Data.
How Much Does Ecommerce Merchant Data Cost?
The cost of Ecommerce Merchant Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Ecommerce Merchant Data for your needs.
What Are Similar Data Types to Ecommerce Merchant Data?
Ecommerce Merchant Data is similar to other data types, such as Digital Shelf Data, Ecommerce Product Data, Ecommerce Sales Data, Ecommerce Company Data, and Ecommerce Market Data. These related categories are often used together for applications like Ecommerce Intelligence and Ecommerce Data Enrichment.
