Abstract: Various implementations for multitouch attribution are described. One example method includes receiving a plurality of channel data associated with a first channel and second channel, determining conversion data for the first channel and the second channel using the plurality of channel data, receiving a first touch event and a second touch event associated with a first channel and a second channel, determining a first attribution for the first channel using a first touch event and the first channel data, determining a second attribution for the second channel using a second touch event and the second channel data, and determine an item conversion strategy using the first attribution and the second attribution.

Abstract: Various implementations for multitouch attribution are described. One example method includes receiving a plurality of channel data associated with a first channel and second channel, determining conversion data for the first channel and the second channel using the plurality of channel data, receiving a first touch event and a second touch event associated with a first channel and a second channel, determining a first attribution for the first channel using a first touch event and the first channel data, determining a second attribution for the second channel using a second touch event and the second channel data, and determine an item conversion strategy using the first attribution and the second attribution.

Abstract: Various implementations for multitouch attribution are described. One example method includes receiving a plurality of channel data associated with a first channel and second channel, determining conversion data for the first channel and the second channel using the plurality of channel data, receiving a first touch event and a second touch event associated with a first channel and a second channel, determining a first attribution for the first channel using a first touch event and the first channel data, determining a second attribution for the second channel using a second touch event and the second channel data, and determine an item conversion strategy using the first attribution and the second attribution.

Abstract: The method and systems of the present invention is directed towards forecasting and modeling projected sales of a portfolio of products (e.g., video game/software titles) in order to obtain a corresponding projected sales of a platform (e.g., console). The method is aimed at maximizing the projected sales of the platform by providing saturation of targeted consumer segments (e.g., groups of users) of a total addressable market. In particular, the present invention takes into consideration the constrained resources (e.g., budget) that can be spent on various different products and partnerships in order to maximize platform sales.