or or queue-based ecommerce data DataForSEO Merchant dataset: Google Shopping API and Amazon API, all Google and Amazon locations, real-time
Consumer FMCG Purchases Dataset -- Ecommerce Data Anywhere in the World -- Vumonic
Fashion & Lifestyle Purchases Dataset -- Ecommerce Data Anywhere in the World -- Vumonic
Consumer Electronics Purchases Dataset -- Ecommerce Data Anywhere in the World -- Vumomic
The Ultimate Guide to Online Shopping Data 2021
What is Online Shopping Data?
69% of shoppers shop for their items online. This information that they input about themselves, as well as their location, behavioral and transactional information, is saved to the company’s website. This data can then be compiled in a database and used by marketers for ecommerce analytics.
How is Online Shopping Data collected?
Online shopping data is collected when someone goes online and starts the shopping experience. Online stores collect information about website visitor behavior using cookies, which track the links they click on, pages they visit most, and products which interest them most based on the time they spend on a specific page. Other online shopping data includes transaction information from shoppers, such as their payment method, basket composition, and brand affinity.
What are the attributes of Online Shopping Data?
The attributes of this data can include the personal information of those who are shopping online. This refers to age, location, gender, and contact details. Financial attributes, such as payment method and average spend, are also found in online shopping datasets. Other attributes include product suppliers, IP addresses of online stores, price point varations, and popular basket compostion.
What is Online Shopping Data used for?
Online shopping data is generally used by other online companies and stores that want to sell to the right audience and win custom from competitors. The audience that you have to target can be difficult to target without this information. Shops and other specific companies use this information often when designing ads and marketing materials.
How can a user assess the quality of Online Shopping Data?
Knowing the quality of the data that is being collected is important. There are specific assessments that are done on the information. Online shopping data from providers should always be double-checked to check whether it’s useful for your business use case, as well as whether it’s accurate and complete.
Who are the best Online Shopping Data providers?
Finding the right Online Shopping Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Online Shopping Data providers that you might want to buy Online Shopping Data from are Vumonic, DataForSEO, and Buferto.
Where can I buy Online Shopping Data?
Data providers and vendors listed on Datarade sell Online Shopping Data products and samples. Popular Online Shopping Data products and datasets available on our platform are DataForSEO Merchant dataset: Google Shopping API and Amazon API, all Google and Amazon locations, real-time or or queue-based ecommerce data by DataForSEO, Consumer FMCG Purchases Dataset – Ecommerce Data Anywhere in the World – Vumonic by Vumonic, and Fashion & Lifestyle Purchases Dataset – Ecommerce Data Anywhere in the World – Vumonic by Vumonic.
How can I get Online Shopping Data?
You can get Online Shopping Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Online Shopping 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 Online Shopping Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Online Shopping Data?
Online Shopping Data is similar to Digital Shelf Data, Ecommerce Product Data, Ecommerce Sales Data, Ecommerce Customer Data, and Ecommerce Store Data. These data categories are commonly used for Credit Card Analytics and Online-To-Offline (O2O) Analytics.