Fundamental Behavioral Precision Marketing (FBPM) Theory of Optimal Bigdata-AI Marketing Model (OBAIM)

DOI

10.2991/978-94-6463-419-8_26How to use a DOI?

Keywords

Fundamental Behavioral Precision Marketing (FBPM) Theory; AI; Optimal Bigdata-AI Marketing (OBAIM) Model; AI marketing; big data; BI

Abstract

Bigdata (suggested as a brief form for big data in the paper) and artificial intelligence (AI) integrated together is unprecedentedly fast making business intelligence (BI) ever powerful. The paper uses Bigdata-AI or Bigdata AI or BAI to mean a system of bigdata integrated AI; and BAIM to mean a Bigdata-AI or Bigdata AI or BAI marketing system or model. To date, academicians and professional practitioners have proposed or architected daunting number of BAIM, however, there seems no concise, effective, easy-adopting BAIM. Purpose of the paper is to explore the structure and essences of an Optimal Bigdata-AI Marketing System or Model (OBAIM). The paper defines an OBAIM as a BAIM which shall attain the best marketing results to achieve sustainable highest possible profitability for an enterprise. For cost, effectiveness, and optimality, the paper stipulates Four Critical Features (or CEES features) of an OBAIM as concise, effective, easy-adopting, and scalable-modularized. The paper also identifies the fundamental customer data module, the customer purchasing behavioral data module, and AI precision marketing module as the Three Core Modules of OBAIM. The fundamental customer data module administrates (collects, compiles, maintains, updates, and optimizes) bigdata of existing and potential customers about essential basic information; the customer buying behavioral data module manages bigdata of actual and likely buying behavioral information; the AI precision marketing module conducts most effective AI marketing undertakings. They together are called Fundamental Behavioral Precision Marketing (FBPM) Theory of OBAIM by the paper. The paper has six chapters. Chapter 1 is introduction. Chapter 2 conducts a literature review. Chapter 3 explores the Optimal Bigdata-AI Marketing Model (OBAIM). Chapter 4 elaborates Fundamental Behavioral Precision Marketing (FBPM) Theory. Chapter 5 gives an illustrative chart. Chapter 6 makes conclusions.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - John C. Yeh
PY  - 2024
DA  - 2024/05/07
TI  - Fundamental Behavioral Precision Marketing (FBPM) Theory of Optimal Bigdata-AI Marketing Model (OBAIM)
BT  - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
PB  - Atlantis Press
SP  - 208
EP  - 215
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-419-8_26
DO  - 10.2991/978-94-6463-419-8_26
ID  - Yeh2024
ER  -