A Strategic Marketing Intelligence Platform

2020 ◽  
pp. 12-30
Author(s):  
Mark Poema Lida

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.

2020 ◽  
Vol 49 (1) ◽  
pp. 30-50
Author(s):  
Ming-Hui Huang ◽  
Roland T. Rust

AbstractThe 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.


2008 ◽  
Vol 53 (No. 9) ◽  
pp. 432-440
Author(s):  
F. Dařena

The paper is focused on study of information systems that can be applied in the process of marketing planning. General terms from information systems theory are examined from marketing perspective, particular examples of marketing activities support are identified on the basis of literature review and global structure of the Marketing Information System (MkIS) is proposed. The main subsystems of MkIS – internal reporting system, marketing intelligence system, marketing research system, and decision support system are discussed in higher level of detail. The main attention is paid not only to supported marketing processes but also to technologies that can be used in individual parts of MkIS. The result is the architecture that integrates isolated marketing applications into one comprehensible framework. This architecture also creates a framework for following research in the field of marketing activities support.


1990 ◽  
Vol 45 (1) ◽  
pp. 18-27 ◽  
Author(s):  
David Gilbert

2017 ◽  
pp. 402-425
Author(s):  
Geoff Lancaster ◽  
Lester Massingham

Author(s):  
Merlin Stone ◽  
Luiz Moutinho ◽  
Yuksel Ekinci ◽  
Ashraf Labib ◽  
Geraint Evans ◽  
...  

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