Ecommerce Customer Data
Top Ecommerce Customer Data APIs, Datasets, and Databases
Find the top commercial Ecommerce Customer Data sets, feeds and streams.
1st Party Data Onboarding
|Use Case||Audience optimization, Crossselling to existing customers + 1 more|
Consumer Electronics Purchases Dataset -- Anywhere in the World
India+ 9 others
|History||3 years of past data available|
|Use Case||Repeat/Churn Analysis, Demographic Analysis + 3 more|
Fashion & Lifestyle Purchases Dataset -- Anywhere in the World
India+ 10 others
|History||3 years of past data available|
|Use Case||Purchase Intelligence, Promotional Analysis + 3 more|
Top Ecommerce Customer Data Providers, Vendors, and Companies
Find the top Ecommerce Customer Data aggregators, suppliers, and firms.
The Ultimate Guide to Ecommerce Customer Data 2020
Learn everything about Ecommerce Customer Data. Understand data sources, popular use cases, and data quality.
Table of Contents
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.
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.
Who are the best Ecommerce Customer Data providers?
Finding the right Ecommerce Customer Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Ecommerce Customer Data providers that you might want to buy Ecommerce Customer Data from are Datonics, Wult.io, and Vumonic.
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 1st Party Data Onboarding by Acxiom, Consumer Electronics Purchases Dataset – Anywhere in the World by Vumonic, and Fashion & Lifestyle Purchases Dataset – Anywhere in the World by Vumonic.
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 Consumer Data Enrichment and Ecommerce Customer Data analytics.
What are the most common use cases for Ecommerce Customer Data?
Categories Related to Ecommerce Customer Data
Explore similar categories related to Ecommerce Customer Data.
Popular Ecommerce Customer Data Use Cases
Find out the most common applications of Ecommerce Customer Data.