Application of Genetic Algorithm on Multi-objective Email Marketing Delivery Problem

Abstract

Customer journey optimization in email marketing is the art and science of finding the optimal time to deliver a sequence of marketing messages along the consumer’s decision journey. It aims to promote individual customer’s engagement and experience by optimizing the message delivery schedule over a time horizon, in order to maximize the customer’s opens, clicks, and avoid inducing fatigue (cancel subscription) to the customer. This paper proposed a solution by applying the genetic algorithm to optimize the customer journey with different objective functions for different business purposes. The simulation results show that the proposed method can effectively improve different business objectives.