Roughly 95% of advertising is still bought and sold by human ad buyers and salespeople in the traditional way through RFPs, human negotiations, and manual insertion orders. This method of transacting ad sales can be expensive and unreliable.
Goals and Objectives
Enables the facilitation of a better platform for programmatic transactions, allowing for a more automated and fluid ad buying process
Deep analytics; machine learning; big data analytics; demand-side platforms (DSPs), data management platforms (DMPs), and ad exchanges; customer data platforms; AI; ML; and metadata orchestration
Use Case Summary
Programmatic and automated advertising enables a reduction in the time it takes to offer targeted advertising to clients and minimizes manual activities. This makes the ad buying process more efficient and less expensive by removing humans from the process wherever possible.