Ask your question


What Is C2C E-Commerce Data?

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).

Where Does C2C E-Commerce Data Come From?

C2C e-commerce data comes from a variety of sources: market or industry reports, internal company data, and individual buyer/seller data.

What Types of Columns/Attributes Should I Expect When Working with This 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.

What Is This Data Used For?

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.

How Should I Test the Quality of C2C E-Commerce Data?

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.

Interesting Case Studies and Blogs to Look Into

DataVisor: Top E-Commerce Platform Leverages DataVisor to Reach Real Customers and Prevent Promotion Abuse
Linkedin: The Not So Quiet Revolution of C2C Business

Tangible Examples of Impact

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.

Search Engine Journal: Google Invests in Tokopedia Online Shopping Platform

Retail & Commerce Data categories

Relevant datasets

Brain Marketing Data

by Brain_BrainNordic

Brain Marketing Data works with publishers & advertisers to reach customers at the right time, with the right message, using first-party data

0 (0)   Reviews (0)

OLX Group Trading Platform


OLX Group Trading Platform connects over 300 million individual buyers & sellers in over 30 countries find or offer homes, cars, jobs, & more

0 (0)   Reviews (0)

Numerator OmniPanel


Numerator OmniPanel tracks consumer data across multiple channels, where panelists update their e-commerce, D2C, and other purchase data

0 (0)   Reviews (0)

Similar Data Providers

  • The Arabesque GroupThe Arabesque Group
    5 (1)
    Reviews ()
    Data sets (4)
    Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
  • Black Box Intelligence Consumer IntelligenceBlack Box Intelligence Consumer Intelligence
    5 (1)
    Reviews ()
    Data sets (0)
    Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
  • Home by VendigiHome by Vendigi
    4.3 (3)
    Reviews (1)
    Data sets (1)
    Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's. Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.