Selling the entire ad inventory at the best possible price is a challenge for media and entertainment companies that have limited tools to decipher the price at which they can maximize price and inventory sellout. Every day a content company goes with unsold impressions, they are losing revenue.
Goals and Objectives
Enables the optimization of advertising pricing and ad inventory sellout based on data-driven customer profile, inventory management, and pricing, allowing advertisers to better advertise pricing relative to inventory sellout
AI-enabled personalization; AI powered ad sales management; machine learning; advanced analytics; rule-based pricing models; end-to-end platforms; dynamic bid floor technology; real-time data analytics; data driven linear, smart TV; index linear TV; conversion data analytics; impression data analytics; third-party data analytics; set-top box data; and metadata management
Use Case Summary
Agile pricing systems enables the matching of ad supply and demand where the pricing structure follows the dynamic rules of the market and moves with supply and demand.