Which factor is NOT typically considered in inventory forecasting?

Inventory forecasting in digital advertising involves predicting the availability and performance of ad inventory over time to optimize sales and campaign effectiveness. Factors generally considered in this process include historical campaign performance as it provides insights into past successes and helps forecast future demand. Seasonal trends are also significant since they enable advertisers to plan campaigns around periods of high or low activity based on consumer behavior fluctuations. Additionally, the client's need for competitive separation is taken into account to avoid running competing ads simultaneously, ensuring that each brand receives maximum visibility.

While dayparting schedules—strategically planning ad placements by specific times of the day—are important for campaign execution, they do not typically influence the forecasting of overall inventory availability. Instead, dayparting is more about optimizing ad performance for specific time slots rather than predicting future inventory needs. Therefore, it is not a primary factor in the inventory forecasting process.