Best Ecommerce Customer Datasets, Databases & APIs
What is Ecommerce Customer Data?
Ecommerce customer data is used by retail websites for behavior analytics and online shopper insights. Ecommerce customer datasets and APIs are used for intent signal analysis. Use Datarade's ecommerce customer data providers to buy and sample online market intelligence.Learn more
Recommended Ecommerce Customer Data Products
Bright Data | eCommerce Data - Global Coverage - Pricing Data, Seller Ratings Data, Customer Reviews Data
Unwrangle: Amazon Customer Reviews & Ratings Data (Ecommerce Data inc. USA, UK, France, Australia)
Buy Box Monitoring Data Service from Amazon | Grepsr
Unwrangle: AliExpress Ratings & Reviews Data (Supply Side Ecommerce Data inc. Europe, Russia, Africa)
Oxylabs E-Commerce Data Worldwide - available via API & in real-time
Walmart Ecommerce Reviews & Ratings Data
Global Clickstream Data Feeds in both Unstructured and Structured formats
Swash Consumer Loyalty Rewards Audience (Cryptocurrency)
Pricing Intelligence - Pricing Data
Acxiom Audience Activation 1st Party Data - CRM Data Onboarding (USA, UK & Germany Covered)
More Ecommerce Customer Data Products






The Ultimate Guide to Ecommerce Customer Data 2023
Ecommerce customer data is a sub-category of ecommerce data, which is itself a sub-cateogry of commerce data. It is data which offers insights into customers’ behaviours online. Ecommerce customer data relates the demographics of online customers to their purchases, as well as how often they use ecommerce platforms and which platforms they use for different categories of products and services. Ecommerce customer datasets are often very large due to the huge number of transactions which now take place online.
Ecommerce customer data is collected from online sources. It can be sourced from the consumers themselves, online transactions, promotional or confirmation emails, e-receipts, online surveys, or cookies. This raw data collected from various online sources is analysed using algorithms, AI, and machines made up of code specific to ecommerce customer data. All of these technologies alter the data so that it can be categorised and so that filters can be applied relating to product, customer demographics or dates. These analytics allow the collected ecommerce customer data to offer useful insights into online consumers’ behaviours, as the data on consumers, vendors, and the general market is represented formally and advantageously.
Ecommerce customer data consists of many different data attributes. Some data attributes come in the form of simple word data which can often be grouped and categorised accordingly, for example: vendor, item, and consumer demographics such as age, location and gender. These can be related to other numbered data attibutes, such as product price, tax, and discounts applied, and relationships can be found between these data attributes. Dates are also frequently-occuring data attributes in ecommerce customer data, specifically date of purchase and date delivered, which allow for the calculation of the time taken for product delivery. Online-specific information, such as URLs, IP addresses and email addresses are other data attributes which are usually involved in ecommerce customer data, presenting information on vendors, customers, and ecommerce platforms.
Ecommerce customer data is used by online vendors to identify their target consumers via data on consumer demographics and therefore conduct more effective and successful marketing campaigns for their products with targeted advertising. Online vendors can also used ecommerce customer data to make informed decisions on how much of their product they should be manufacturing as they have data on supply and demand relating to their products. Ecommerce customer data may also be used by ecommerce platforms for intent signal analysis and to inform themselves on their consumer traffic and improve their services. Lastly, ecommerce customer data is related is customer retention. By understanding customer satisfaction, online sellers are able to drive customer loyalty, retain buyers and reduce churn.
The best ecommerce customer data providers will have certifications to show that their data is high-quality and to show that they are GDPR compliant, and they will be able to explain the verification procedures they carry out to ensure that their ecommerce customer data is accurate. They will also be updating their datasets regularly, they will be able to provide datasets quickly, and you should be able to find good reviews from clients of the best ecommerce customer data providers. Lastly, ask for a data sample before you buy from a ecommerce customer data provider to ensure that their ecommerce customer data is of the quality that your business needs.
Where can I buy Ecommerce Customer Data?
Data providers and vendors listed on Datarade sell Ecommerce Customer Data products and samples. Popular Ecommerce Customer Data products and datasets available on our platform are Bright Data | eCommerce Data - Global Coverage - Pricing Data, Seller Ratings Data, Customer Reviews Data by Bright Data, Unwrangle: Amazon Customer Reviews & Ratings Data (Ecommerce Data inc. USA, UK, France, Australia) by Unwrangle, and Buy Box Monitoring Data Service from Amazon | Grepsr by Grepsr.
How can I get Ecommerce Customer Data?
You can get Ecommerce Customer Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Ecommerce Customer Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Ecommerce Customer Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Ecommerce Customer Data?
Ecommerce Customer Data is similar to Online Shopping Data, Digital Shelf Data, Ecommerce Product Data, Ecommerce Sales Data, and Ecommerce Store Data. These data categories are commonly used for Customer Intelligence and Ecommerce Analysis.
What are the most common use cases for Ecommerce Customer Data?
The top use cases for Ecommerce Customer Data are Customer Intelligence, Ecommerce Analysis, and Ecommerce Intelligence.