1. A method of predicting keyword monetization for a period of time for one or more advertisements corresponding to a keyword in one or more keyword-advertiser relationships, the method comprising: fetching historical data for the one or more keyword-advertiser relationships; generating a global model incorporating the one or more keyword-advertiser relationships from the historical data; and predicting the keyword monetization based on the historical data for the one or more keyword-advertiser relationships based on the generated global model, the keyword monetization comprising a prediction of performance for the one or more advertisements corresponding to the keyword, wherein instructions to perform the fetching, the generating, and the predicting are comprised on computer readable media and, the method comprises executing the instructions with a computing device.