eCommerce Product Sales Volume Data
Multimedia Lists ecommerce online purchase data USA (3.5 million records)
eCommerce and PoS (Point of Sales) Data China & Korea - to do Market Intelligence (Analysis, Analytics
China & Korea: eCommerce & PoS (Point of Sales) Data for Market Intelligence (Monitoring, Analysis, Analytics
PipeCandy D2C E-Commerce Brands Web Sales Data in US, UK, Canada, India - D2C brands and their revenue
Unwrangle: AliExpress Ratings & Reviews Data (Supply Side Ecommerce Data inc.
Moojing Raw E-Commerce Data China, SKU level data - E-Commerce Live Broadcasting Platform (Alibaba, TikTok
DataWeave - Sales and Market Share
Pipecandy Firehose API - E-commerce Company & Web Sales Data US, UK, Canada API of all companies (50+
Moojing China eCommerce Market Intelligence (Saas) on popular platforms (Alibaba, JD, Gome, Kaola, Suning
The Ultimate Guide to Ecommerce Sales Data 2021
What is Ecommerce Sales Data?
Ecommerce sales data refers to information that highlights the selling and buying of goods on the internet and the transfer of money and data to fulfill these transactions. Ecommerce sale describes the sale of physical products on the internet as well as any type of commercial transaction that is conducted via the internet. Ecommerce sales data reveals information about online trading activities in all the four areas of market segments: business to business, business to consumer, consumer to consumer, and consumer to business.
How is Ecommerce Sales Data collected?
Because e-commerce sales is an activity that is undertaken on the internet, the collection of e-commerce sales data is online-based. Through company websites that have integrated systems for data collection, a lot of insight can be derived from customer data collected from custom profile properties. Businesses integrate third-party software into their websites to help in harnessing customer e-commerce data. These software function in such a way that during the onboarding process, data points are formulated to support use cases that are specifically unique to every business.
What are the attributes of Ecommerce Sales Data?
Ecommerce sales data contains information about a given online transaction. The key features of these transactions may include information about the customer, the product that was bought, and the payment method that was used, the amount paid for the product. In some cases, and for customer profiling, e-commerce sales data may also include the information about the geographical location of the customer, their contact information such as email and phone number, and their most preferred payment methods such as debit or credit cards, wire transfer or payment platforms such as PayPal.
What are the uses of Ecommerce Sales Data?
Ecommerce is an industry that thrives on big data analytics. As such, in the e-commerce industry, proper use of data can help businesses rise to greater heights in terms of revenue growth. However, the wrong interpretation of e-commerce data may prove futile for the business. Ecommerce sales data can help businesses to regularly gauge and improve on the following listed aspects:
- Expand customer analysis leading to the development of well-informed buyer personas or profiles.
- Bolster customer service for better satisfaction and retaining.
- Enhance the personalized experience for every customer.
- Gauge ways in which to secure online payment processing systems.
How can a user assess the quality of Ecommerce Sales Data?
The quality of e-commerce sales data can be gauged by its relevance, reliability, consistency, and time value. When acquiring data about e-commerce sales, users should account for the data’s ability to present information that is in line with their business operations. The relevance aspect will ensure that the information pulled informs the user of the business needs hence avoiding the mistake of making crucial decisions based on wrong information. The reliability of this data informs the user of the data’s level of completeness, accuracy, and how well it meets the intended purpose without being subject to inappropriate alteration. Additionally, due to the constantly changing e-commerce business environment, the aspect of time will tell the user of e-commerce sales data about when the data was collected and whether it takes into account the transforming landscape of the business environment especially in terms of technological advancement.
Who are the best Ecommerce Sales Data providers?
Finding the right Ecommerce Sales Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Ecommerce Sales Data providers that you might want to buy Ecommerce Sales Data from are Unwrangle, Multimedia Lists, Bungeetech, PipeCandy, and DataWeave.
Where can I buy Ecommerce Sales Data?
Data providers and vendors listed on Datarade sell Ecommerce Sales Data products and samples. Popular Ecommerce Sales Data products and datasets available on our platform are eCommerce Product Sales Volume Data by Luz, Multimedia Lists ecommerce online purchase data USA (3.5 million records) by Multimedia Lists, and eCommerce and PoS (Point of Sales) Data China & Korea - to do Market Intelligence (Analysis, Analytics, Monitoring,) & Marketing by X-Byte.
How can I get Ecommerce Sales Data?
You can get Ecommerce Sales Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Ecommerce Sales 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 Sales Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Ecommerce Sales Data?
Ecommerce Sales Data is similar to Online Shopping Data, Digital Shelf Data, Ecommerce Product Data, Ecommerce Customer Data, and Ecommerce Store Data. These data categories are commonly used for Sales Planning and Demand Forecasting.