11. A method for generating a keyword performance landscape for one or more keyword-advertiser relationships representing one or more advertisers with one or more advertisements corresponding to a keyword, the method comprising: connecting to a data resource containing data for the one or more keyword-advertiser relationships, the data including historical data of the one or more keyword-advertiser relationships; fetching the historical data for the one or more keyword-advertiser relationships, the historical data including a historical keyword monetization property for the one or more keyword-advertiser relationships; predicting a future keyword monetization property comprising a prediction of a performance for the one or more advertisements corresponding to the keyword for a period of time, wherein the predicting the future keyword monetization property includes generating a global model incorporating the one or more keyword-advertiser relationships and evaluating the one or more keyword-advertiser relationships according to a time-series analysis; and generating the keyword performance landscape for the one or more keyword-advertiser relationships from the historical data and the predicted future keyword monetization property, wherein instructions to perform the connecting, the fetching, the predicting, and the generating are comprised on computer readable media and the method comprises executing the instructions with a computing system.
24. The method of claim 11 , wherein the fetching comprises referencing the historical data, the historical data corresponding to a plurality of advertising campaigns engaged by the one or more keyword-advertiser relationships.