Before revision:  After we build a robust and precise model, we propose a metric of risk ,   which can help the firm to manage their advertisement plans, thus leading to a robust, risk-aware optimization of their revenue .
After revision:  After we build a robust and precise model, we propose a metric of risk , it is well suited to generalization to other markets or situations. Its Bayesian nature facilitates incorporating which can help the firm to manage their advertisement plans, thus leading to a robust, risk-aware optimization of their revenue .