Customer-to-customer (or consumer-to-consumer or even citizen-to-citizen) e-commerce data consists of all information about online marketplaces where individuals buy and sell products and services. Third-party intermediaries administer these C2C e-commerce marketplaces; these intermediaries may offer this service as part of a larger platform (for example, Facebook Marketplace) or it may be their sole focus (for example, Etsy or Airbnb).
C2C e-commerce data comes from a variety of sources: market or industry reports, internal company data, and individual buyer/seller data.
Attributes of C2C data include company data like the number of employees, annual revenue, and the number of active users. Other data about the C2C marketplace may be financial (early revenue, merchandise volume in the millions per year) and social (app usage, share of voice, ratings).
Site user data—especially seller data—also provide important insights into this data category and the field of e-commerce in general. This is particularly important as the world moves toward economies in which individuals make, market, and sell products and services on their own.
Additionally, C2C data may be included as part of general e-commerce or retail data.
Users of C2C e-commerce data include individuals, especially entrepreneurs, investors, and the companies themselves. Naturally, individuals use this data to buy or sell products and services; entrepreneurs and artists use e-commerce services as part of their business strategy; investors use the data to identify good investment opportunities.
Finally, companies, of course, use the data to identify opportunities for growth and resolve problems. Internal company and user data, for example, provides opportunities for identifying fraud, fake reviews, and other damaging behavior.
To test the quality of C2C e-commerce data, it is crucial to keep in mind the goal of the dataset. For example, would-be sellers must collect accurate company rating and share-of-voice data; meanwhile, e-commerce platforms that want to develop a better machine learning fraud detection program must have a vast amount of up-to-date and complete user data.
It’s reported that Google and another company have agreed to invest $350 million dollars in a shopping platform named Tokopedia. Tokopedia is an online marketplace in Indonesia that is so popular that it contributes over 1% of that country’s economic growth.
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