Method for optimizing a constrained product portfolio to capture maximum target market

A non-transitory computer-readable storage medium, having embodied thereon a program executable by a processor to perform a method of maximizing a projected number of sales of a platform based on forecasting and modeling projected sales of associated products in a constrained portfolio, the method comprising:

• receiving a list of software titles, wherein the list of software titles includes internal software titles;
• receiving a list of bundles, wherein the list of bundles includes internal bundles;
• forecasting sales for each listed software title and each listed bundle;
• identifying an addressable market for a platform, wherein the addressable market includes a plurality of distinct consumer segments each having a unique set of characteristics;
• receiving characterization data regarding each listed software title, wherein the received characterization data includes characterization of each listed software title as a plurality of descriptive elements;
• evaluating user preference of each descriptive element associated with each consumer segment of the addressable market;
• calculating lift elements for the platform for each consumer segment associated with each listed software title and each listed bundle using the forecasted sales and characterization data, wherein the calculated lift elements are based on one or more different combinations of user input specifying how resources are used to promote the sale of the platform associated with each listed software title and each listed bundle;
• verifying that the calculated lift elements based on the different combination of user input satisfies one or more constraints, wherein the one or more constraints includes limitations on an the available resources usable to promote the sale of the platform;
• and
• outputting a combination of user input that specifies how the available resources could be used to best promote the sale of the platform.

A system for maximizing a projected number of sales of a platform based on forecasting and modeling projected sales of associated products in a constrained portfolio, the system comprising:

• memory, and
• a processor that executes instructions stored in memory, the instructions being executed by the processor to:
• receive a list of software titles, wherein the list of software titles includes internal software titles;
• receive a list of bundles, wherein the list of bundles includes internal bundles;
• forecasting sales for each listed software title and each listed bundle;
• identify an addressable market for a platform, wherein the addressable market includes a plurality of distinct consumer segments each having a unique set of characteristics;
• receiving characterization data regarding each listed software title, wherein the received characterization data includes characterization of each listed software title as a plurality of descriptive elements;
• evaluate user preference of each descriptive element associated with each consumer segment of the addressable market;
• calculate lift elements for the platform for each consumer segment associated with each listed software title and each listed bundle using the forecasted sales and characterization data, wherein the calculated lift elements are based on one or more different combinations of user input specifying how resources are used to promote the sale of the platform associated with each listed software title and each listed bundle;
• verify that the calculated lift elements based on the different combination of user input satisfies one or more constraints, wherein the one or more constraints includes limitations on an the available resources usable to promote the sale of the platform;
• and
• output a combination of user input that specifies how the available resources could be used to best promote the sale of the platform.