Abstract: Methods and systems are provided for communication of one or more campaigns via personalized electronic messaging. An example method includes automatically creating an electronic communication personalized for each of a plurality of individual customers of a client. The automatically creating may include dynamic configuring the electronic communication for each individual customer into a single campaign for the client to optimize both relevancy for each of a plurality of individual customers and one or more desired business outcomes for the client. The dynamic configuring can include decision making using at least a business context. Performance goals of a business can comprise the business context. The decision-making can further use a user context and/or an external context. The electronic communication can be dynamically configured to include personalized recommendations and may further include personalized content and/or a personalized offer.

Abstract: Methods and corresponding systems for automatic frequency capping provide an automated decision-making process that decides dynamically how often the content of electronic communications from an entity should be sent to any specific customer or potential customer for a particular campaign. An individual customer's or potential customer's optimal electronic communication frequency is determined using machine learning and is based on behavior data.

Abstract: Methods and corresponding systems are provided for configuring communications to customers when there are multiple campaigns scheduled in a given period. An optimal number of communications are sent prioritized according to business or performance measures where send times are spaced out in a manner that strives to attain the highest value. An example method includes determining a number of electronic communications, for a plurality of campaigns to send to the particular customer during a particular time period; determining the optimal send time during the particular time period; determining for which campaigns the particular customer is eligible; for each determined optimal time: determining a strategy including selecting an electronic communication for one of the campaigns to send to the eligible particular customer so as to maximize the value over the particular time period; and causing the selected electronic communication to be sent to the particular customer at the determined optimal time.

Abstract: Disclosed is a method and system for online directory management in which a succession of values is aggregated as human behavior data from client devices visiting a website. A new value is automatically transmitted in response to a correlation signaling that the new value signifies a true mutation.