What is Online Shopping Data? Examples, Datasets and Providers

Online shopping data gives insights into consumer behavior and shopping trends across ecommerce platforms. Discover our selected list of online shopping datasets and providers.
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Eugenio Caterino
Editor & Data Industry Expert

What is Online Shopping Data?

Online shopping data is information collected and analyzed from various online shopping activities. It includes details such as customer demographics, purchase history, browsing behavior, and preferences. This data helps businesses understand consumer trends, personalize marketing strategies, improve product offerings, and enhance the overall online shopping experience.

What Are Examples of Online Shopping Data?

Examples of online shopping data include

  • Customer demographics
  • Purchase history
  • Browsing behavior
  • Product reviews
  • Transaction details
  • and more

Best Online Shopping Databases & Datasets

Here is our curated selection of top Online Shopping 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.

Logo of Xtract

Shopper Data | Malls & Shopping Centers in Canada | Comprehensive POI Data

by Xtract
5.0
Canada
Free sample preview
Starts at
$258.21 / purchase
Logo of Scorri

Scorri|Brand shopping data with online &offline and location tagging|Postal Level Transaction|Consumer data| Digit Identifiers | Global

by Scorri
5.0
USA
United Kingdom
Free sample preview
API available
Pricing available upon request
Logo of Envestnet | Yodlee

Envestnet | Yodlee's De-Identified Online Shopping Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts

by Envestnet | Yodlee
USA
Free sample preview
Pricing available upon request
Logo of OpenWeb Ninja

Product and Price Data, Product Reviews Data from Google Shopping | Ecommerce Data | Real-Time API

by OpenWeb Ninja
5.0
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$25$21.25 / month
Logo of Xtract

Shopper Data | Malls & Shopping Centers in US | Point-of-Interest (POI) Analysis

by Xtract
5.0
USA
Free sample preview
Starts at
$3,285.08 / purchase
Logo of Scorri

Scorri| Web activity with brand and consumer sentiment analysis and shopping heat map|share of voice| brand health and transaction|Online&Offline Data

by Scorri
5.0
USA
United Kingdom
Free sample preview
API available
Pricing available upon request
Logo of Whooz

Whooz - Whize Shopping Segments - Smart data-use for retailers based on demography, lifestyle and behaviour of all 8M NL households

by Whooz
Netherlands
Free sample preview
Pricing available upon request
Logo of Accurate Append

Accurate Append | Verified US Shopper Data | Demographics/Wealth/Lifestyle/Donation History Targeting & More | High Match Rate | Batch & API Delivery

by Accurate Append
5.0
USA
Free sample preview
API available
Starts at
$0.10 / Match
Logo of Envestnet | Yodlee

Envestnet | Yodlee's De-Identified Online Purchase Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts

by Envestnet | Yodlee
USA
Free sample preview
Pricing available upon request
Logo of Xverum

Xverum: APAC Commerce Data | Individual&Company Data | APAC B2B Data | Verified Consumer Data | Trial without Fees | 1B Data Updates Monthly

by Xverum
5.0
India
China
Japan
+73
Free sample preview
API available
Pricing available upon request

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Online Shopping 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 Online Shopping Data.

Frequently Asked Questions

Where Can I Buy Online Shopping Data?

You can explore our data marketplace to find a variety of Online Shopping Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

How is the Quality of Online Shopping Data Maintained?

The quality of Online Shopping 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 Online Shopping Data Updated?

The update frequency for Online Shopping 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 Online Shopping Data Secure?

The security of Online Shopping 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 Online Shopping Data Delivered?

Online Shopping 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 Online Shopping Data.

How Much Does Online Shopping Data Cost?

The cost of Online Shopping 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 Online Shopping Data for your needs.

What Are Similar Data Types to Online Shopping Data?

Online Shopping Data is similar to other data types, such as Consumer Review Data, Product Data, Ecommerce Data, Online Purchase Data, and Ecommerce Store Data. These related categories are often used together for applications like Ecommerce Intelligence.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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