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: Users are matched to items and recommended friends in a social merchandising system. During registration, a user profile is created for a user among a plurality of users in the peer-to-peer marketplace. To calculate a compatibility score, a social genome is determined for the user based on social networking characteristics associated with the user. Also, a merchandise genome is determined for the user based on item characteristics associated with the user. Results are organized into a feed for the user based on the compatibility score and time. Feeds display items of friends, or as influenced by social connections and interactions.

Abstract: A digital item tracking system drives e-commerce with an order state that is determined based on processing events, shipping events and payment events. When a transaction occurs in a peer-to-peer marketplace the order state is updated as events occur through the point that an order is accepted by a buyer. The order can also cause an exception in which reverse digital item tracking is needed.

Abstract: Virtual shopping parties on a peer-to-peer marketplace are facilitated. A virtual party initiated is reserved by a user of the peer-to-peer marketplace. The virtual party comprises a specific set of items available to a specific set of users during a specific time span. A theme is set for the virtual shopping party dictating parameters for whether an item can be added to the virtual shopping party. The theme also dictates parameters for who can add an item to the virtual shopping party. Invitations are sent for the virtual shopping party to the specific set of users, based on the theme. A customized feed is then presented to each of the set of users that join the virtual shopping party.