Marketing automation with the use of data-driven insights will help in anticipating customer-behavior. It will enable personalized campaigns, improve the process of decision-making, and ensure market-accountability by measuring effectiveness of the system and help in optimizing strategies. This will ultimately drive customer engagement, loyalty, and higher-returns on investment in the competitive business environments. The present invention relates to a method and a system for customer predictive analysis for marketing automation and market accountability. The present invention attempts to develop a layout for the job of marketing-computerization (MA) in estimating the return on displaying exercises and the difficulties related with arriving at responsibility in marketing. To explore the goal of the assessment, the creators took on a subjective methodology, leading an exploratory review among ten key witnesses. Based on the aftereffects of the subjective investigation, an applied system was proposed, which incorporates both key and functional level elements fully intent on making a worth based plan. In this plan, leaders, for example the Chief Marketing Officer. Arise as worth makers, encouraging business versatility, what further contentions can be given to legitimize spending plan portion to MA exercises. Through cautious examination of the components that describe the peculiarity under study, the present invention eventually adds to a superior comprehension of MA and responsibility inside the current business worldview. Focusing on the marketing setting, an organized conversation of how AI can recognize the objective clients exactly in spite of their various practices was introduced in this contemporary invention. The uses of AI in client focusing and the extended viability all through the unique periods of client lifecycle were similarly inspected.