Best Commerce Datasets

What is Commerce Data?

Commerce is the trade among economic agents on a large scale. Commerce Data means the exchange of goods and services or any value, that gives the social relation information among businesses or entities. It is mostly used by retailers, businesses, marketers, investors. eg. Identify market trends and strategies to optimize store layout.
In day-to-day running competition, owners of businesses have faced many competitors. To grow your business you need to understand your customers and market strategy. For that, you need Commerce Data, which provides you the right information about present trends. We are specialized in Commerce Data collection with high speed and high quality. We monitor the market trends and make an updated data set, which includes all market-related information. You can get millions of Commerce Data in a well-organized form from our Database. Web Scrape helps you to find the best Commerce Datasets at a low-cost.

Subcategories of Commerce Data:

  • Brand Data
  • Consumer Review Data
  • Consumer Spending Data
  • CPG Data
  • Ecommerce Data
  • In-store Data
  • O2O Commerce Data
  • Product Data
  • Receipt Data
  • Retail Data
  • Shopper Data
  • Transaction Data
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What are the Most Common Types of Commerce Data?

Brand Data

Brand means any identifying mark, which no one else can use. Brand Data provides you all information about similar products or services in the market. Brand Data is mostly used by businesses, other companies, and consumers. They use this data to compete with their similar brands.

Consumer Review Data

Consumer Data is based on consumer’s interests and behavior. Consumer Data provides information on how customers rating and review products, services, or specific aspects. This data provides competitor's strategy information, so companies can make powerful business strategies for their business growth.

Consumer Spending Data

Consumer Spending Data is based on consumer’s habits. It provides information on consumer transactions. Businesses can track their transactions to know where they shopped, what purchase with a view to improving their customer service and marketing analysis. This data reflects the quality of your business, so you can fulfill business needs by acquiring it.

CPG Data

CPG Data means Consumer Packaged Goods Data. It measures business performance against competitors. It refers to sales marketing. Sales predictions are based on past datasets. CPG Data provides both consumer's behavior and product information, so businesses can maximize profit by making effective changes in services. It is mostly used by retailers.

Ecommerce Data

Ecommerce Data refers to selling and buying goods online. It is helpful to analyze online product analysis or shopping insights. It is mostly used by online retailers and marketers. Ecommerce Data also provides information about consumer behavior, so it is useful to improve Ecommerce customer services and e-commerce market intelligence.

In-Store Data

In-Store Data means all information that happened in the store. It includes products or services information, customer information, sales information, etc. It is mostly used by Retailers and Businesses. With the help of this data businesses and retailers are improving their In-Store facilities and services and they can generate greater profit.

O2O Commerce Data

O2O Data means Online-to-Offline Data. O2O Data refers to Online stores and their physical stores. O2O Data is the way of reaching new customers. It helps to draw customers from online channels to offline stores (Physical stores). O2O Data helps to incorporate strategies that entice the customers to Physical stores. This Data is mostly used by marketers and businesses.

Product Data

Product Data provides all information related to the products. Competitor's Product Data is useful to analyze their product strategy and make our strategy more effective to increase sales. Product Data is mainly used by advertisers and marketers. Manufacturers also use this data to manufacture new products. It is helpful to increase your consumer’s purchase behavior and also sales performance.

Receipt Data

Receipt Data is one type of store performance indicator. Purchase receipts of customers are included in Receipt Data. It used to analyze consumer's shopping habits as well as store performance. It is mainly used by businesses and retailers to compare their business performance with competitors to optimize store performance. It is the best proof-of-purchase.

Retail Data

Retail Data refers to a retailer's market strategy. It is mostly used by retail businesses. Retail Data used to improve retailer's business by acquiring inventory, customer insights, and sales trade across the retail industry. Retail Data provides certain facts and figures among real business.

Shopper Data

Shopper Data is related to the customers. It refers to customer’s behavior, customer’s shopping habits, customer feedback data. These data are collected by the marketing firms, which is helpful to the marketers to make changes or improve their product services. Businesses can make a successful business strategy and improve their customers' experience and gain more customers with Shopper Data.

Transaction Data

Transaction Data is collected from recorded transactions. These transaction data are related to businesses or individual consumers. It is mostly used by marketers and advertisers to identify customer’s propensity to purchase a product or service. It always has a Time Dimension and numerical value. Marketers and Advertisers can use these data to target market strategy based on location.
How to Use Commerce Data?

Example of the Most Common Use Cases for Commerce Data

Commerce Data provides you the full information about your business progress. With the help of these data retailers can easily understand their customer’s needs, customer’s habits, Customers spending time, so they can easily find their business solutions.
Commerce Data helpful to Marketers for their customer’s predictions. In this way, they can increase their product sales. They can make improvements in their products and services. Commerce Data gives certain facts that are very important to make attractive, and important decisions for business growth. These data are helpful to understand competitor’s market strategies so businesses can implement new market strategies to gain more profit and more customers.
Examples of Commerce Data Attributes

Typical Commerce Data Attributes

Commerce Data is a time and money-saving system because it provides retailers to predict trends and forward plans. With the help of customer’s retail history, retailers get to know the customer’s taste and preference, which helps to increase customer’s experiences. Right Commerce Data, can increase customer satisfaction levels by the implementation of new strategies.
Commerce Data includes customer data, store data, transaction data, market data, profit data, foot traffic data, and numeric data.

Most Common Use Cases For Commerce Data

  • Retail
  • Predictive Analytics
  • Store Visit Tracking
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