Systems and methods relating to automation for personalizing the customer experience

A computer-implemented method related to implementing an outbound campaign of an enterprise in which an offer is communicated to target customers in a manner that is personalized for each of the target customers, wherein, when exemplified in relation to a first one of the target customers (hereinafter “first target customer”) in a manner representative of how the communication of the offer is personalized for each of the target customers, the method comprises:

• providing a customer profile database, the customer profile database storing a customer profile of the first target customer and customer profiles of respective other customers;
• providing a personalization platform, the personalization platform comprising an intermediary entity that is separate from both the first target customer and the enterprise, wherein the personalization platform comprises access to the customer profiles stored in the customer profile database;
• updating the customer profile of the first target customer according to data received from a personal assistant bot application (hereafter “personal bot”) running on a personal communication device of the first target customer, wherein the personal bot is configured to update the customer profile of the first target customer by collecting interaction data describing interactions conducted by the first target customer via the personal communication device with other enterprises;
• deriving interaction predictors, each one of the interaction predictors comprising knowledge about the first target customer, the knowledge describing a behavioral tendency attributable to the first target customer for given a type of interaction, wherein the derivation of the interaction predictors is based on at least one of:
• a behavioral tendency exhibited by the first target customer given the interaction data stored in the customer profile of the first target customer;
• and
• a behavioral tendency exhibited by a group of the other customers given interaction data stored in the customer profiles that describes interactions that occurred between the other customers and the other enterprises, wherein the first target customer is found to have a characteristic common to the group of the other customers and wherein the characteristic is found to be correlate with the behavioral tendency;
• receiving, at the personalization platform, an enterprise campaign dataset from the enterprise related to the outbound campaign, the enterprise campaign dataset comprising at least:
• information describing the offer and a context of the outbound campaign;
• and
• a list of the target customers;
• augmenting, at the personalization platform, the enterprise campaign dataset with one or more of the interaction predictors related to the first target customer to produce an enriched campaign dataset by:
• selecting the one or more of the interaction predictors (hereafter “selected interaction predictors”) based on a relevance to the context of the outbound campaign;
• and
• including, in the enriched campaign dataset, the selected one or more interaction predictors as data linked to and describing the first target customer;
• and
• transmitting, from the personalization platform, the enriched campaign dataset to the enterprise for use thereby in implementing the outbound campaign.