Abstract:
Systems and methods disclosed herein score leads by determining and applying a scoring rule based on lead participation in an activity. This involves a processor of a computing device receiving information on participation in the activity by prior leads that resulted in conversions or rejections. A scoring rule is determined for the activity by assigning a score to the activity based on the information on participation in the activity by the prior leads that resulted in the conversions or the rejections. A new lead is scored using the scoring rule by assigning the new lead the score based on participation by the new lead in the activity. The scoring of the new lead can be used in various ways. In one example, the score of the new lead is used to determine to send a communication to the new lead.
Abstract:
An interactive email experience is customized to the recipient's interests by modifying rich media components provided by the email based on the recipient's interactions with other rich media components from the email. To facilitate the interactive email experience, rich media components are provided by a marketer for an email campaign with mapping information mapping product features to portions of the rich media components. When an email is sent with links to the rich media components, the recipient's interactions with a rich media component is tracked. Product features are ranked based on the recipient's interactions with various portions corresponding with the various product features. The product feature rankings are then used to modify other rich media components from the email to emphasize portions of the other rich media components corresponding with product features of interest to the recipient.
Abstract:
Systems and methods for providing real-time marketing campaigns are disclosed. One disclosed method includes steps of identifying, by a marketing system, a target product for a marketing campaign; executing a real time capture system to requesting and receiving, by a real-time capture system, user comment information from one or more social media sites; determining, by a sentiment engine, sentiments associated with the user comment information about the target product; and identifying, by the marketing system, one or more features of the target product associated with the sentiments and a target population for the marketing campaign based on the user comment information.