Abstract: Systems and methods for the identification, recruitment, enrollment, and scoring of influential members of social groups are provided. One or more consumer events is monitored and analyzed by an event server. Data from these consumer events is then passed through standard and custom event models. Using these event models, a holistic social networking score is computed for each consumer using a set of standard and custom scoring rules. The holistic score may be used to compare individual consumers within a target market group and create a consumer marketing panel with a high degree of social networking value. The consumer marketing panels may then be segmented and used in various marketing campaigns. Value assessments for consumers may be validated and refined continuously or periodically using participation data from a series of artificial or actual marketing campaign events.

Abstract: Systems and methods for predicting the efficacy of a marketing message to generate word of mouth (WOM) are disclosed. A prediction server may generate and distribute surveys to a subset of a target market group. The prediction server may then analyze the survey responses and compare the responses to past responses for marketing messages in similar product or service categories. One or more scores relating to the message's ability to generate WOM may then be computed. These scores may reflect purchase intent, message advocacy, and message amplification of the marketing message. The marketing message may then be refined based on the value of the one or more scores. The prediction server may also access in-market data in order to project volume build or equity build of a promotional item associated with the marketing message.