Role of Artificial Intelligence in Marketing Automation in China

Purpose: The aim of the study was to examine the Role of Artificial Intelligence in Marketing Automation in China Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that the role of artificial intelligence (AI) in marketing automation in China has revolutionized the marketing landscape, offering unprecedented opportunities for efficiency, personalization, and data-driven decision-making. AI technologies, such as machine learning, natural language processing, and predictive analytics, have enabled Chinese businesses to automate and optimize various marketing processes, leading to enhanced customer engagement and improved ROI. AI-powered marketing automation tools have facilitated precise targeting and segmentation, allowing brands to deliver highly personalized content and offers to individual consumers at the right time through the right channels. This level of personalization has significantly improved customer experiences, fostering stronger brand loyalty and higher conversion rates. Furthermore, AI has enhanced the ability of marketers in China to analyze vast amounts of data quickly and accurately, providing deep insights into consumer behavior, preferences, and trends. This has enabled more informed strategic decisions, agile responses to market changes, and proactive identification of new opportunities. Unique Contribution to Theory, Practice and Policy: Technology Acceptance Model, Social Cognitive Theory & Resource-Based View (RBV) may be used to anchor future studies on Role of Artificial Intelligence in Marketing Automation in China. Organizations should prioritize hiring skilled AI professionals and investing in robust AI infrastructure to effectively leverage AI technologies for marketing automation. This includes building in-house capabilities or partnering with external vendors to develop and implement AI-powered marketing solutions tailored to specific business needs. Encourage marketing teams to experiment with AI-driven tools and technologies in their campaigns and initiatives. Create a supportive environment that rewards innovation and learning from failures, enabling organizations to iterate and improve AI-driven marketing strategies over time. Policymakers should collaborate with industry stakeholders to develop regulatory frameworks that govern the ethical use of AI in marketing automation. This includes establishing guidelines for data privacy, algorithmic transparency, and consumer protection to ensure that AI technologies are deployed responsibly and ethically.