Ecommerce Store Data

Ecommerce store data is used by retail websites for merchant analytics and competitor insights. Ecommerce store datasets and APIs are used for ecommerce trend analysis and retail growth. Use Datarade's ecommerce store data providers to buy and sample market intelligence. Learn more →
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DataWeave: Digital Shelf Analytics - Ecommerce Store Data for North America 90% Accuracy icon
90% Accuracy
DataWeave: Digital Shelf Analytics - Ecommerce Store Data for North America 13 countries covered icon
13 countries covered
Dataweave's Digital Shelf Analytics helps you audit four broad aspects of your brand in the online world. These include Share of Voice, content, product avai...
Luz Store - Revenue Figures for Online Stores - Ecommerce Data (USA, Canada, EU-5) 7 countries covered icon
7 countries covered
Luz Store - Revenue Figures for Online Stores - Ecommerce Data (USA, Canada, EU-5) 9 months of historical data icon
9 months of historical data
With millions of product sales volume data collected and cleansed daily, Luz Store is the Source of Truth for data-driven teams working in eCommerce. Luz...
Moojing China eCommerce Raw Data, SKU level data (Alibaba, JD, Gome, Kaola, Suning)  100M records icon
100M records
Moojing China eCommerce Raw Data, SKU level data (Alibaba, JD, Gome, Kaola, Suning)  90% match rate icon
90% match rate
Moojing China eCommerce Raw Data, SKU level data (Alibaba, JD, Gome, Kaola, Suning)  China covered icon
China covered
We provide raw data for our clients. They can use machine learning algorithm to redefine data measure as they want.
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Bright Data (Formerly Luminati Networks)
Based in Israel
Bright Data (Formerly Luminati Networks)
Bright Data is a leading data collection platform, which enables our customers to collect data sets from millions of websites through our proprietary technol...
+72M IPs
Around the world
Network uptime
Response time - DataWeave profile banner
Based in Singapore
DataWeave is an AI-powered SaaS platform that provides Competitive Intelligence as a Service to consumer brands and eCommerce businesses, enabling them to co...
Up to 46%
top line growth
Up to 3X
bottom line growth - Moojing profile banner
Based in China
Moojing is a big data company in the e-Commerce field jointly initiated and established by a senior Chinese team working in the Internet industry and interna...
China eCommerce
FMCG, VC, Intl Trade
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The Ultimate Guide to Ecommerce Store Data 2021

Learn about ecommerce store data analytics, sources, and collection.

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), DataWeave, Moojing, PipeCandy, 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 DataWeave: Digital Shelf Analytics - Ecommerce Store Data for North America by DataWeave, Luz Store - Revenue Figures for Online Stores - Ecommerce Data (USA, Canada, EU-5) by Luz, and Moojing China eCommerce Raw Data, SKU level data (Alibaba, JD, Gome, Kaola, Suning) by Moojing.

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 Store Data analytics.

What are the most common use cases for Ecommerce Store Data?

The top use cases for Ecommerce Store Data are Online Marketing, Ecommerce Analysis, and Ecommerce Intelligence.