Customer centric marketing: The influences of CRM and the Internet in the future of marketing

Table of Contents

CHAPTER 1: INTRODUCTION

Historical Perspective

Purpose of this Study

CHAPTER 2: METHODOLOGY

Methodology

CHAPTER 3: REVIEW OF RELATED REFERENCES

Introduction

Literature Review

CRM Literature

eCRM Literature

Web Based Markets and Their Customers

Relationship Marketing

Customer-Centric Marketing

Summary

CHAPTER 4: ANALYSIS

Introduction

Migration to the ‘Old’ Era of Knowing the Customer

Technology and Customer-Centric Marketing

Customer Data

Summary

Chapter 5 - SUMMARY

Introduction

Conclusions

Summary Benefits

Recommendations

Objectives and Research Focus

This study examines the transition of modern marketing strategies from mass-market approaches back to customer-centric, one-to-one models, driven by the integration of Internet technology and CRM systems. It explores the implications for organizations regarding data ownership, privacy, and competitive advantage.

• Historical evolution of customer-centric marketing.
• The role of CRM and eCRM in modern organizational strategy.
• Impact of Internet technology on consumer behavior and switching costs.
• Ethical challenges associated with the collection and ownership of customer data.

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Summary of Chapters

CHAPTER 1: INTRODUCTION: Provides the historical background of marketing transitions and defines the study’s purpose regarding modern CRM trends.

CHAPTER 2: METHODOLOGY: Outlines the research approach, detailing the reliance on literature review and case study analysis rather than survey data.

CHAPTER 3: REVIEW OF RELATED REFERENCES: Synthesizes existing literature on CRM, eCRM, relationship marketing, and the challenges of web-based market environments.

CHAPTER 4: ANALYSIS: Discusses the research findings regarding the shift toward personalized marketing and the complex role of data in the Internet era.

Chapter 5 - SUMMARY: Concludes the work by summarizing key findings and offering strategic recommendations for organizations and future research directions.

Keywords

Customer-centric marketing, CRM, eCRM, Internet marketing, data mining, one-to-one marketing, relationship marketing, consumer privacy, competitive advantage, customer loyalty, globalization, business strategy, data ownership, digital technology.

Frequently Asked Questions

What is the core focus of this research?

The research explores the shift in marketing strategy from industrial-era mass marketing back to a customer-centric model, facilitated by digital technology and CRM systems.

Which thematic areas are primarily addressed?

Key themes include the evolution of customer-centric marketing, the integration of CRM/eCRM, the role of the Internet in shaping consumer power, and the ethics of customer data management.

What is the primary goal of this study?

The study aims to develop a theoretical hypothesis for best practices in implementing customer-centric processes to foster long-term customer relationships in an Internet-driven global economy.

Which scientific methodology was applied?

The author employed a deductive, qualitative research approach based on a comprehensive review of academic literature and relevant industry case studies.

What topics are discussed in the main analysis?

The main analysis covers the migration back to knowing the customer, the synergy between technology and marketing, the challenges of handling customer data, and the importance of competitive advantage.

What are the characterizing keywords of the work?

The work is characterized by terms such as customer-centric marketing, CRM, eCRM, data privacy, and relationship marketing.

How does the Internet influence consumer switching costs?

The Internet has reduced switching costs for consumers by dissolving geographical boundaries and providing easy access to multiple online vendors, making customer retention more critical.

Why is data ownership a significant concern for marketers?

As organizations collect vast amounts of personal data, they face ethical dilemmas regarding how to use this data responsibly to avoid consumer backlash and maintain trust.