The authors develop a three-stage framework for strategic marketing planning, incorporating multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing functions and activities, thinking AI for processing data to arrive at decisions, and feeling AI for analyzing interactions and human emotions. This framework lays out the ways that AI can be used for marketing research, strategy (segmentation, targeting, and positioning, STP), and actions. At the marketing research stage, mechanical AI can be used for data collection, thinking AI for market analysis, and feeling AI for customer understanding. At the marketing strategy (STP) stage, mechanical AI can be used for segmentation (segment recognition), thinking AI for targeting (segment recommendation), and feeling AI for positioning (segment resonance). At the marketing action stage, mechanical AI can be used for standardization, thinking AI for personalization, and feeling AI for relationalization. We apply this framework to various areas of marketing, organized by marketing 4Ps/4Cs, to illustrate the strategic use of AI.

中文翻译：

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人工智能营销战略框架

作者开发了一个用于战略营销规划的三阶段框架，结合了多种人工智能 (AI) 优势：用于自动化重复营销功能和活动的机械人工智能、用于处理数据以做出决策的思维人工智能以及用于分析交互和人类的感觉人工智能情绪。该框架列出了 AI 可用于营销研究、战略（细分、定位和定位，STP）和行动的方式。在市场调研阶段，机械AI可以用于数据采集，思维AI用于市场分析，感觉AI用于理解客户。在营销策略（STP）阶段，可以使用机械AI进行细分（segment Recognition），思维AI进行定位（segment推荐），感觉AI进行定位（segment Resonance）。在营销行动阶段，可以使用机械AI进行标准化，思考AI进行个性化，感觉AI进行关系化。我们将这个框架应用于营销的各个领域，由营销 4Ps/4Cs 组织，以说明人工智能的战略使用。