Abstract: Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes identifying a first likelihood of missing the sales target based on a first alerting methodology, identifying a second likelihood of missing the sales target based on a second alerting methodology, issuing a first alert if at least one of the first or the second likelihoods is greater than a threshold after a first future date, and issuing a second alert if the first and the second likelihoods are greater than the threshold after a second future date.

Abstract: Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes retrieving client driver control data and corresponding market triggers, generating a client baseline profile associated with the client based on the client driver control data and a corresponding market trigger, calculating a first probability of not taking action when action prevents a missed marketing objective, calculating a second probability of taking action when action causes superfluous spending to meet a marketing objective, and generating the alert based on a comparison between the product of the first probability and a cost of the missed marketing objective and the product of the second probability and a cost of the superfluous spending.

Abstract: Methods and apparatus are disclosed to manage marketing forecasting activity. An example method includes eliminating a first portion of a plurality of driver forecasts that fail to meet a historical threshold, calculating a Euclidian distance value between each driver forecast in a second portion of the plurality of driver forecasts, identifying a separation zone between each adjacent driver forecast in the second portion, and selecting a representative driver forecast from each cluster created by the separation zone.