Abstract: Systems and methods are disclosed for predicting consumer spending behavior based on historical purchase activity progressions.

Abstract: Systems and methods are disclosed for tracking consumer spend behavior to predict attrition. One method includes: receiving past transaction data related to a plurality of past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions of the consumer; determining a spend behavior model of the consumer; subsequent to determining the spend behavior model of the consumer, receiving transaction data related to one or more current payment transactions of the consumer; receiving environmental and/or behavioral data associated with the one or more current payment transactions; determining, based on an analysis of the current transaction data and environmental and/or behavioral data associated with each of the current payment transactions, a current spend behavior of the consumer; and determining, based on a comparison of the current spend behavior with the spend behavior model, the likelihood of an attrition of the current spend behavior.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.

Abstract: Systems and methods are disclosed for tracking consumer spend behavior to predict attrition. One method includes: receiving past transaction data related to a plurality of past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions of the consumer; determining a spend behavior model of the consumer; subsequent to determining the spend behavior model of the consumer, receiving transaction data related to one or more current payment transactions of the consumer; receiving environmental and/or behavioral data associated with the one or more current payment transactions; determining, based on an analysis of the current transaction data and environmental and/or behavioral data associated with each of the current payment transactions, a current spend behavior of the consumer; and determining, based on a comparison of the current spend behavior with the spend behavior model, the likelihood of an attrition of the current spend behavior.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.

Abstract: Systems and methods are disclosed for tracking consumer spend behavior to predict attrition. One method includes: receiving past transaction data related to a plurality of past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions of the consumer; determining a spend behavior model of the consumer; subsequent to determining the spend behavior model of the consumer, receiving transaction data related to one or more current payment transactions of the consumer; receiving environmental and/or behavioral data associated with the one or more current payment transactions; determining, based on an analysis of the current transaction data and environmental and/or behavioral data associated with each of the current payment transactions, a current spend behavior of the consumer; and determining, based on a comparison of the current spend behavior with the spend behavior model, the likelihood of an attrition of the current spend behavior.

Abstract: Systems and methods are disclosed for predicting consumer spending behavior based on historical purchase activity progressions.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.

Abstract: Systems and methods are disclosed for tracking consumer spend behavior to predict attrition. One method includes: receiving past transaction data related to a plurality of past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions of the consumer; determining a spend behavior model of the consumer; subsequent to determining the spend behavior model of the consumer, receiving transaction data related to one or more current payment transactions of the consumer; receiving environmental and/or behavioral data associated with the one or more current payment transactions; determining, based on an analysis of the current transaction data and environmental and/or behavioral data associated with each of the current payment transactions, a current spend behavior of the consumer; and determining, based on a comparison of the current spend behavior with the spend behavior model, the likelihood of an attrition of the current spend behavior.

Abstract: Systems and methods are disclosed for predicting consumer spending behavior based on historical purchase activity progressions.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.