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Yield Management

TV-Centric Web-based Yield Optimization applications enable teams to more effectively forecast at both an inventory and campaign-level, plan and book campaigns across any level of inventory.

Applications include:

Yield Management

Forecasting

Our machine learning forecasting algorithms can leverage more than 24 months of historical data, to help forecast all TV inventory more accurately and further more better identify trends and seasonality, refreshed at a daily, weekly or monthly cadence. Further manual adjustment without compromising data-consistency or granularity is possible.  Forecasts are fully granular across all forecasted audiences and can be leveraged by Inventory Management and Planning teams to better inform sales teams and allocate addressable inventory.

Yield Management

Portfolio & Campaign Planning

Our portfolio and campaign planning applications enable teams to effectively optimize advertising supply and demand for a future time period either  holistically or for a specific type of inventory. Our planning insights can inform sales strategy, ad productization and pricing as well as facilitating yield and revenue maximisation.

Our Campaign planning application  can be customized to match existing business workflows and processes from proposal through to execution, leveraging all available data dimensions, inventory types. During each planning step, users can see in real-time if new campaigns can be delivered on remaining capacity, highlight contending campaigns  and provide a recommended split across ad execution systems.Campaigns can be either reservered or directly booked, depending on the business rules of a client. 

Yield Management

Unified Booking

After confirming a planned campaign can be reserved, the appropriate business user can review and approve all campaign parameters prior to completing the booking. Once booked, our booking engine shall interface with the existing ad execution systems within a technology stack to manage the distribution of placements or impressions. This split can be set manually or taking advantage of our decision-engine to allow distribution to be handled dynamically.

Want to learn more? Contact us.

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