Subtopic Deep Dive

Customer Relationship Management in IMC
Research Guide

What is Customer Relationship Management in IMC?

Customer Relationship Management in IMC applies CRM data and relationship quality metrics to design integrated marketing communication campaigns that enhance customer loyalty and retention.

This subtopic examines how CRM systems integrate with IMC for personalized campaigns and loyalty programs, using longitudinal studies to measure behavioral responses (Melewar et al., 2017; 188 citations). Key papers explore trust, commitment, and marketing communication effects on B2B loyalty (Hänninen and Karjaluoto, 2017; 85 citations). Over 10 papers from 2004-2019 address CRM data quality and IMC practices in sectors like finance and hospitality.

Curated Papers

Key Challenges

Why It Matters

CRM in IMC enables tailored campaigns that boost retention in competitive markets, as shown by Melewar et al. (2017) linking identity, strategy, and communications to stakeholder trust and loyalty. Hänninen and Karjaluoto (2017) demonstrate marketing communications' direct impact on B2B relationship loyalty. Zahay et al. (2012) highlight customer data quality in CRM as foundational for financial services, improving long-term profitability through behavioral tracking.

Key Research Challenges

CRM Data Quality Issues

Poor data quality in CRM systems hinders effective IMC personalization. Zahay et al. (2012) identify foundational problems in financial services CRM data management. This challenge persists in integrating data for loyalty metrics across channels.

Measuring Relationship Metrics

Quantifying trust, loyalty, and commitment in IMC remains inconsistent. Melewar et al. (2017) operationalize these variables but note integration gaps with strategy. Longitudinal behavioral tracking adds complexity in dynamic markets.

IMC Integration Practices

Practitioners struggle to enact true IMC despite CRM tools. Ots and Nyilasy (2017) theorize IMC practices from practitioner lifeworlds, revealing execution barriers. Digital shifts complicate traditional communication alignment (Idrysheva et al., 2019).

Essential Papers

Integrating identity, strategy and communications for trust, loyalty and commitment

T.C. Melewar, Pantea Foroudi, Suraksha Gupta et al. · 2017 · European Journal of Marketing · 188 citations

Purpose This paper aims to operationalise and juxtapose variables related to identity, strategy and communications, and then examine the impact of such integration on organisational stakeholders’ t...

The effect of marketing communication on business relationship loyalty

Nora Hänninen, Heikki Karjaluoto · 2017 · Marketing Intelligence & Planning · 85 citations

Purpose The purpose of this paper is to create a new understanding of industrial business-to-business (B2B) relationships by connecting the theoretical streams of marketing communications and relat...

The Influence of advertising media on brand awareness

Ivana Domazet, Ines Đokić, Olja Milovanov · 2017 · Management Journal of Sustainable Business and Management Solutions in Emerging Economies · 37 citations

In modern business conditions, the company sends its promotional message through various instruments of promotion, and therefore the different media. One of the instruments of promotion is economic...

E-marketing

Judy Strauss · 2016 · 32 citations

For courses in Internet Marketing or E-marketing This book teaches marketers how to engage and listen to buyers, and how to use what they learn to improve their offerings in today's Internet- and s...

Integrated marketing communications and information and communication technology in the hotel sector: An analysis of their use and development in Dalmatian first-class and luxury hotels

Maja Šerić, Irene Gil Saura · 2011 · Journal of Retail & Leisure Property · 30 citations

Building the foundation for customer data quality in CRM systems for financial services firms

Debra Zahay, James W. Peltier, Anjala S. Krishen · 2012 · Journal of Database Marketing & Customer Strategy Management · 26 citations

Just doing it: theorising integrated marketing communications (IMC) practices

Märt Ots, Gergely Nyilasy · 2017 · European Journal of Marketing · 24 citations

Purpose This paper aims to elaborate on the concept of “integrated marketing communication (IMC) practice” and provide an empirical exposition of how integration is enacted in the lifeworlds of mar...

Reading Guide

Foundational Papers

Start with Don E. Schultz (2004; 19 citations) for internal marketing calculus basics, then Zahay et al. (2012; 26 citations) for CRM data foundations, and Šerić and Gil Saura (2011; 30 citations) for IMC-ICT integration in hospitality.

Recent Advances

Study Melewar et al. (2017; 188 citations) for trust-loyalty models, Hänninen and Karjaluoto (2017; 85 citations) for B2B effects, and Ots and Nyilasy (2017; 24 citations) for IMC practices.

Core Methods

Core methods involve variable operationalization for trust/commitment (Melewar et al., 2017), marketing communication impact testing (Hänninen and Karjaluoto, 2017), and CRM data quality building (Zahay et al., 2012).

How PapersFlow Helps You Research Customer Relationship Management in IMC

Discover & Search

Research Agent uses searchPapers and citationGraph to map high-citation works like Melewar et al. (2017; 188 citations) on trust and loyalty, then findSimilarPapers uncovers related B2B studies by Hänninen and Karjaluoto (2017). exaSearch reveals niche CRM-IMCs in hospitality from Šerić and Gil Saura (2011).

Analyze & Verify

Analysis Agent employs readPaperContent on Zahay et al. (2012) to extract CRM data quality metrics, verifies claims with CoVe against Melewar et al. (2017), and runs PythonAnalysis with pandas to statistically compare loyalty metrics across 5 papers, graded by GRADE for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in IMC loyalty metrics post-Meлеwar et al. (2017), flags contradictions between B2B (Hänninen and Karjaluoto, 2017) and hospitality studies. Writing Agent uses latexEditText, latexSyncCitations for 10 papers, and latexCompile to produce a review with exportMermaid diagrams of CRM-IMCs flows.

Use Cases

"Analyze loyalty metrics from CRM data in Melewar 2017 using statistics."

Research Agent → searchPapers('Melewar CRM loyalty') → Analysis Agent → readPaperContent + runPythonAnalysis(pandas correlation on trust/commitment data) → statistical output with p-values and GRADE-verified insights.

"Write a LaTeX review on CRM-IMCs integration challenges citing 2017 papers."

Synthesis Agent → gap detection → Writing Agent → latexEditText(structure review) → latexSyncCitations(Hänninen, Ots) → latexCompile → PDF with integrated citations and diagrams.

"Find code for CRM loyalty prediction models in marketing papers."

Research Agent → searchPapers('CRM loyalty models code') → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → executable Python scripts for behavioral response simulation.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ CRM-IMCs papers via searchPapers → citationGraph → structured report on loyalty trends from Melewar et al. (2017). DeepScan applies 7-step analysis with CoVe checkpoints to verify Hänninen and Karjaluoto (2017) B2B claims against Zahay et al. (2012) data quality. Theorizer generates theory on CRM-driven IMC evolution from 10 key papers.

Try Doxa for Customer Relationship Management in IMC Research

Frequently Asked Questions

What defines CRM in IMC?

CRM in IMC uses customer data for tailored campaigns enhancing loyalty, as defined by integration of relationship metrics with communications (Melewar et al., 2017).

What methods measure loyalty in this area?

Methods include operationalizing trust and commitment variables (Melewar et al., 2017) and testing marketing communication effects on B2B loyalty (Hänninen and Karjaluoto, 2017).

What are key papers?

Top papers are Melewar et al. (2017; 188 citations) on identity-strategy integration, Hänninen and Karjaluoto (2017; 85 citations) on communication-loyalty links, and Zahay et al. (2012; 26 citations) on CRM data quality.

What open problems exist?

Challenges include consistent relationship metric measurement and full IMC practice enactment, as noted in Ots and Nyilasy (2017) and data quality gaps in Zahay et al. (2012).