eCommerce behavior data from multi category store
Luz Store - Revenue Figures for Online Stores - Ecommerce Data (USA, Canada, EU-5)
DataWeave: Digital Shelf Analytics - Ecommerce Store Data
Allfactor Global E-commerce Stores Data - 5 Million Sellers (inc. Shopify, Amazon, Bigcommerce)
Product Data Bright Data | E-commerce Data - Global Coverage - Trending Products, Consumer Sentiment, Inventory-level
Moojing China eCommerce Raw Data, SKU level data (Alibaba, JD, Gome, Kaola, Suning)
PipeCandy Prospector - E-Commerce Leads in Europe, US & India for demand generation (50+ attributes)
DataWeave: Assortment Intelligence - Ecommerce Product Data
Moojing Raw E-Commerce Data China, SKU level data - E-Commerce Live Broadcasting Platform (Alibaba, TikTok
PipeCandy E-Commerce Companies in the US, UK, Canada (70+ attributes, 1M+ companies)
The Ultimate Guide to Ecommerce Store Data 2021
What is Ecommerce Store Data?
Ecommerce stores are shops that sell their goods and services over the internet instead of in a real shop. Ecommerce operates in all major market segments involved in the retailing of products and goods.
Ecommerce store data is therefore any data related to eccomerce stores, such as current and historical revenue details as well as payment and shipping methods and information. All ecommerce retailers need this information to generate the highest revenue possibble and data providers offer this so that these retailers can carry out ecommercial analysis and better understand their customers.
How is Ecommerce Store Data collected?
When a consumer uses an ecommerce store different pieces of data are collected related to their shopping habits which can be used to populate the contents of an ecommerce dataset.
Product data is collected which is normally information about products details such as availbility, brand, pricing and popularity amongst customers.
Sales data is collected when a customer markes a purchase. This will be details about what was bought, the cost of the items and can be used to understand consumer brand loyalty or to track consumer behavior.
Customer data is collected by a website as they use different pages on the site. It can include their personal shopping habits and interests or personal details which are entered when an online account is made or an order is placed.
All of this information is normally collected by web scrapers, cooking trackie and social media analytics among other methods.
What are the attributes of Ecommerce Store Data?
Typically an ecommerce dataset will provide information about the datapoints listed above.
Product data will include information such as product availability, price and popularity amongst consumers as well as supply and manufacture details.
Sales data will tell you about the sales that have been made, such as how frequently certain products are purchased, and the revenue that is generated by these sales. Historical sales data is then used to analyze market trends and track how sales of specific products or general products types have changed over time.
Customer data tells you about customer online shopping behavior, interests and likes which can be used to build an accurate consumer profile and tailor marketing campaigns to generate greater profits.
One or some of these datapoints will typically appear in an ecommerce store dataset depending on the kind of ecommerce store data that you have selected.
What is Ecommerce Store Data used for?
Online retailers and marketers rely heavily on ecommerce store data to ensure that their stores are working at optimum efficiency and generate the greatest profits possible. They also use these datasets to carry out in-depth market analysis and to identify market trends.
They can use this information to predict product demand numbers and to adjust product pricing accordingly. Historical sales data is useful for this because it can show how pricing and/or demand has changed over time and indicate what the most effective price point for a product is.
Ecommerce store data can also be used to improve customer service. By analysing consumers’ online experience of an ecommerce store, brands can understand which areas need to be improved for customers to have the best experience possible and make the most purchases.
How can a user assess the quality of Ecommerce Store Data?
A high quality ecommerce dataset will provide relevant and reliable information that is regularly updated to give you the most comprehensive insight into an online store’s activity. Make sure to ask for a data sample before you buy any ecommerce store datasets to ensure the information provided matches your business’ needs. Lastly, always read the data provider’s reviews before you purchase any ecommerce data to ensure you are getting the best quality possible.
Who are the best Ecommerce Store Data providers?
Finding the right Ecommerce Store Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Ecommerce Store Data providers that you might want to buy Ecommerce Store Data from are Bright Data (Formerly Luminati Networks), PipeCandy, DataWeave, Moojing, and Allfactor.
Where can I buy Ecommerce Store Data?
Data providers and vendors listed on Datarade sell Ecommerce Store Data products and samples. Popular Ecommerce Store Data products and datasets available on our platform are eCommerce behavior data from multi category store by Knuckle Head, Luz Store - Revenue Figures for Online Stores - Ecommerce Data (USA, Canada, EU-5) by Luz, and DataWeave: Digital Shelf Analytics - Ecommerce Store Data by DataWeave.
How can I get Ecommerce Store Data?
You can get Ecommerce Store Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Ecommerce Store 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 Store Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Ecommerce Store Data?
Ecommerce Store Data is similar to Online Shopping Data, Digital Shelf Data, Ecommerce Product Data, Ecommerce Sales Data, and Ecommerce Customer Data. These data categories are commonly used for Online Marketing and Ecommerce Analysis.