| Method for making impact of artificial intelligence (AI) on consumer targeting in digital marketing, involves using machine learning algorithms to segment massive consumer data sets by behavior, tastes, and demographics to help organizations target specific client groups with marketing campaigns | |
| 2025-01-27 | |
| 专利权人 | SAHOO A K (SAHO-Individual) ; SINGH N K (SING-Individual) ; SARAF A (SARA-Individual) ; GUPTA R (GUPT-Individual) |
| 申请日期 | 2025-01-27 |
| 专利号 | IN202511006698-A |
| 成果简介 | NOVELTY - The method involves using machine learning algorithms to segment massive consumer data sets by behavior, tastes, and demographics to help organizations target specific client groups with focused marketing campaigns. The customer behaviors like purchasing intent and engagement are predicted to optimize digital marketing campaigns with timely targeted content and ads using predictive analytics and machine learning. The AI-powered real-time monitoring and adjustment of digital marketing campaigns are carried out based on consumer data to optimize ad targeting, bid management, and content delivery for engagement and conversion. The AI-powered solution connects social media, email, websites, and mobile application data to give enterprises a holistic view of consumer behavior and enable consistent, omni-channel marketing experiences that enhance engagement USE - Method for making impact of artificial intelligence (AI) on consumer targeting in digital marketing. ADVANTAGE - The AI plays a transformative role in improving customer targeting within the field of digital marketing. The method focuses on customer targeting. The technology enables businesses to evaluate enormous amounts of consumer data with an astounding level of precision, through the utilization of cutting-edge artificial intelligence technologies such as machine learning, predictive analytics, and natural language processing. The method is made feasible for marketers to identify the preferences, activities, and intentions of individual consumers to make purchases. The method is made simpler for marketers to build marketing campaigns that are highly personalized and effective. The method is made possible to automate the decision making process, and also ensure that advertising is more up-to-date, relevant, and engaging. The efficiency of digital marketing operations is improved, which ultimately leads to an increase in the precision of consumer targeting and the production of more meaningful results for businesses that are operating in a digital marketplace that is getting increasingly competitive. |
| IPC 分类号 | G06Q-030/02 ; G06Q-030/0204 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13599 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | 1.SAHOO A K (SAHO-Individual) 2.SINGH N K (SING-Individual) 3.SARAF A (SARA-Individual) 4.GUPTA R (GUPT-Individual) |
| 推荐引用方式 GB/T 7714 | SAHOO A K,SINGH N K,SARAF A,et al. Method for making impact of artificial intelligence (AI) on consumer targeting in digital marketing, involves using machine learning algorithms to segment massive consumer data sets by behavior, tastes, and demographics to help organizations target specific client groups with marketing campaigns. IN202511006698-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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