1. A method of providing a marketing guidance report for a proposed electronic game, comprising: providing an analysis tool comprising a processor and computer readable memory storing software instructions, where the processor is configured to derive relationships between sales data and game features upon execution of the software instructions; collecting result set data on historical games, the result set data including at least one of sales, marketing data, and review data with respect to first and second historically available electronically embodied games; collecting historical feature data on features with respect to the historical games including an interaction of features, and at least one of the following a time made available, a publisher, a developer, a title, a brand, a franchise, an absence of a feature, a feature frequency, and a restriction on content; collecting additional feature data on features of the proposed game; classifying the features of the historical games and proposed game into classes according to a classification scheme where features having common attributes are within a same class; allowing a recipient to select at least a first feature from a first class, and a second feature from a second, different class; deriving relationships between at least the first and the second selected features with respect to the result set data by using the analysis tool to run an analysis on the result set data, the historical feature data, and the additional feature data; generating, using the analysis tool, a prediction with respect at least one of the first and the second features, wherein generating the prediction comprises a trend analysis on the relationships by using a clustered pattern recognition; and using a server to present the recipient with a marketing guidance report for the proposed game that comprises the trend analysis of the relationships with respect to the prediction.