Collaboration to Provide Real-Time Marketplace of Self-declared First Person Audience Data. Partnership will provide data buyers both control and accuracy of data
Cint, the world’s Insight Exchange, today announced a partnership with Narrative I/O, a Data Commercialization Platform and Marketplace making the data economy more transparent and efficient. This partnership will allow buyers in Narrative’s marketplace to purchase Cint’s self-declared first person data which consists of over 40 million global consumers and up to 300+ data points per consumer.
Data buyers have several options when purchasing data today and many spend extra time and resources on the buying process, as well as validating the data purchased. Narrative I/O will offer a customizable and transparent mechanism for data buyers to access data and Cint will offer highly accurate, self-declared first person data. By combining forces, Narrative and Cint offer the most accurate-customized data assets available today.
“We are very excited to partner with Narrative I/O. With our data supporting predictive modeling in their platform, our combined offering will serve immediate benefits to brands, advertisers and marketers. We see a wealth of potential in the future in a number of use cases using panel-based first party data. We will specifically create solutions to address more precise modeling, a critical challenge in today’s data driven world.” Jake Wolff, Executive Vice President-The Americas, Cint
“Narrative is thrilled to have Cint as a member of our platform. As organizations become more reliant on data, the quality of that data becomes paramount. The self-declared nature of Cint’s data asset provides that quality at scale, creating an easy way for analysts, data scientists, and data engineers to acquire the data they need to produce amazing outcomes.” Nick Jordan, CEO, Narrative I/O
Beginning today, Narrative I/O shall provide a simple and transparent platform to purchase Cint’s high quality first person data to help data buyers make quicker and more accurate business decisions to validate their existing data sets and/or to more accurately model consumer behavior