Leveraging AI and ML in Digital Marketing Strategy for Industry
Mukesh Singh
Abstract
In developing digital marketing strategies in the field of marketing, this paper discusses the discovery of the Artificial Intelligence (AI) and the internet. As the level of information and engagement with consumers on the internet starts to monumentally increase, ingenious devices are being relied upon to help the businesses work at a lower novelty, establish further savings offers, and improved customer relationship management. The study integrates in-depth research search and review of more recent research articles, therefore, being in a position to describe the main themes, trends, and implications of AI-based marketing practice. Considering the way AI has been applied, one can observe that at least, the following aspects are primarily the areas where the coin of personalization of customers and other factors like the commercialization of social media and maximization of ROI were also considered by the companies that reportedly measured the change in the customer relations, purchase consideration and ROI. It has been proven that individualization along the lines of AI may lead personalized buying interest or advertising outcomes by approximately a third of the formerly massive discount versus the previous estimation. Meanwhile, there are privacy, transparency, ethical application dilemmas in businesses that are high in priority. Data security risks in the application of data is a worrying aspect as one of the risk factors preventing the use over time, and regulatory disconnection. With the aid of AI, which is slowly becoming associated with sustainable marketing, the firms are able to align their strategies with the eco- and society-related objectives. The virtues of the so-called field review will be transferable to academic and related sectors because they will provide a general report concerning the role of the AI in digital marketing, its benefits, and concerns that need to be addressed. The paper concludes that AI and ML is not only revolutionizing the marketing practice, but also recuperates emerging borders in terms of ethical, responsible, and sustainable digital practices.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.