Marketing Research & Customer Value — A Comprehensive Marketing Management Guide
The Marketing Management Playbook Series — Series 1 — Playbook 2
Summary: Playbook 2 examines the essential elements of marketing research and customer value management. It covers the marketing information system, environmental scanning, the marketing research process, forecasting demand, customer perceived value, customer satisfaction and loyalty, Customer Relationship Management (CRM), Customer Lifetime Value (CLV), and customer equity — with detailed case studies from leading companies.
Chapter 1 — Gathering Information and Scanning the Environment
1.1 The Marketing Information System (MIS)
A Marketing Information System (MIS) consists of people, equipment, and procedures to gather, sort, analyze, evaluate, and distribute needed, timely, and accurate information to marketing decision makers. An effective MIS provides a continuous flow of information about the market environment to support strategic and tactical decisions.
The MIS has four key components:
- Internal Records System — Order-to-payment cycle, sales information systems, databases, and data mining
- Marketing Intelligence System — Procedures and sources used by managers to obtain everyday information about developments in the marketing environment
- Marketing Research System — Systematic design, collection, analysis, and reporting of data and findings relevant to a specific marketing situation
- Analytical Marketing System — Statistical and analytical tools to process information and support decision-making
As Kotler and Keller note, marketing management requires "analysis, planning, implementation, and control of programs designed to create, build, and maintain beneficial exchanges with target buyers." The MIS provides the informational foundation for these activities.
Kotler & Keller Marketing Management - Pearson
1.2 The Macro Environment
The macro environment consists of the larger societal forces that affect the entire micro environment. These forces are largely uncontrollable and present both opportunities and threats to organizations.
Demographic Environment — Population size, growth, age distribution, ethnic composition, educational levels, and household patterns. Demographic trends have a significant impact on market demand and the composition of the target audience.
Economic Environment — Income levels, purchasing power, spending patterns, credit availability, interest rates, and economic growth. Economic conditions influence consumer confidence and willingness to spend.
Socio-Cultural Environment — Values, beliefs, norms, and lifestyles that shape consumer behavior. Cultural shifts, changing social norms, and evolving consumer expectations require continuous monitoring.
Natural Environment — Physical resources, climate change, environmental regulations, and sustainability concerns. Growing consumer awareness of environmental issues has created both challenges and opportunities for marketers.
Technological Environment — Innovation, automation, artificial intelligence, and digital transformation. Technology is revolutionizing marketing through new channels, data analytics, and personalization capabilities.
Political-Legal Environment — Government policies, regulations, consumer protection laws, and political stability. Marketers must navigate complex regulatory frameworks across different jurisdictions.
These environmental forces interact and evolve over time, requiring marketers to continuously monitor and adapt their strategies. As one study noted, the shift toward a "customer-oriented, service-dominated concept of marketing" reflects broader socio-cultural and economic changes.
1.3 The Micro Environment
The micro environment consists of the actors in the immediate marketing environment that affect the organization's ability to serve its customers:
The Company — Internal departments and functions that affect marketing decisions: top management, finance, research and development, purchasing, manufacturing, and accounting.
Suppliers — Firms that provide the resources needed by the company to produce its goods and services. Supplier issues include reliability, cost, quality, and the availability of raw materials.
Marketing Intermediaries — Firms that help the company to promote, sell, and distribute its goods to final buyers: resellers, physical distribution firms, marketing services agencies, and financial intermediaries.
Customers — The target market segments that the company serves. Understanding customer needs, preferences, and behavior is central to marketing management.
Competitors — Firms that offer similar products and services. Competitive analysis is essential for developing effective marketing strategies.
Publics — Any group that has an actual or potential interest in or impact on an organization's ability to achieve its objectives: financial publics, media publics, government publics, citizen-action publics, local publics, general public, and internal publics.
According to the marketing management school of thought, "marketing strategy came to rely increasingly on statistical analysis of market research data." Understanding the micro environment is essential for developing customer-centric strategies.
Foundations of Marketing Strategy - Findgro
1.4 Environmental Scanning and Analysis
Environmental scanning is the process of collecting and interpreting information about external forces that could affect the organization. Effective scanning identifies emerging trends, opportunities, and threats before they become significant.
Key steps in environmental analysis:
- Environmental Monitoring — Tracking the evolving environment through continuous observation
- Environmental Assessment — Evaluating the significance of environmental changes
- Scenario Planning — Developing alternative views of how the environment might evolve
- Competitive Intelligence — Systematic collection and analysis of information about competitors
The value-based marketing approach emphasizes the importance of understanding the customer and the competitive landscape. As noted in the Pentadigm model, the first step is to "discover — understand the customer," which requires comprehensive environmental analysis. Companies that systematically scan their environment are better positioned to anticipate changes and adapt their strategies.
Environmental Scanning - Findgro
Chapter 2 — Conducting Marketing Research and Forecasting Demand
2.1 The Marketing Research Process
Marketing research is the systematic design, collection, analysis, and reporting of data and findings relevant to a specific marketing situation. It provides the information needed to make informed marketing decisions.
The five-step marketing research process:
- Define the Problem and Research Objectives — Identify the decision problem and specify the information needed
- Develop the Research Plan — Determine the sources of data, research approach, research instruments, sampling plan, and contact methods
- Collect the Information — Execute the research plan by gathering primary and secondary data
- Analyze the Information — Process and interpret the data to extract meaningful insights
- Present the Findings — Communicate the results and recommendations to decision makers
Marketing research provides essential inputs for strategic planning, product development, pricing, distribution, and communication decisions. As the marketing management school emphasizes, "marketing strategy came to rely increasingly on statistical analysis of market research data."
Kotler & Keller Marketing Management - Pearson
2.2 Research Design
Research design is the framework or blueprint for conducting the marketing research project. Three types of research designs are commonly used:
Exploratory Research — Conducted to clarify the nature of a problem or explore a situation. Methods include literature reviews, interviews, focus groups, and case studies. Exploratory research is typically used in the early stages of research to gain preliminary insights.
Descriptive Research — Designed to describe the characteristics of a population or phenomenon. Methods include surveys, observations, and secondary data analysis. Descriptive research answers questions about who, what, where, when, and how.
Causal Research — Designed to test cause-and-effect relationships. Methods include experiments and test marketing. Causal research determines whether changes in one variable cause changes in another variable.
The choice of research design depends on the research objectives, available resources, and the nature of the decision problem.
Kotler & Keller Marketing Management - Pearson
2.3 Data Collection Methods
Data collection methods determine how information is gathered for marketing research. Both primary and secondary data sources are used.
Primary Data — Information collected specifically for the current research purpose. Methods include:
- Surveys — Questionnaires administered to a sample of respondents
- Interviews — In-depth discussions with individuals or groups
- Observations — Systematic recording of behavior without direct interaction
- Experiments — Controlled studies to test causal relationships
Secondary Data — Information previously collected for another purpose. Sources include:
- Internal Sources — Sales records, customer databases, financial reports
- External Sources — Government statistics, trade association reports, commercial databases, academic research
Secondary data is often more accessible and less expensive than primary data, but it may not be specifically tailored to the current research objectives. Primary data is more specific but requires more time and resources to collect.
Kotler & Keller Marketing Management - Pearson
2.4 Sampling and Data Analysis
Sampling is the process of selecting a subset of the population to represent the entire population. Two main types of sampling are used:
Probability Sampling — Each population element has a known, non-zero chance of being selected. Methods include simple random sampling, stratified sampling, and cluster sampling. Probability sampling allows for statistical inference and measurement of sampling error.
Non-Probability Sampling — Selection is based on judgment or convenience rather than probability. Methods include convenience sampling, judgment sampling, and quota sampling. Non-probability sampling is more common in exploratory research but limits generalizability.
Data analysis transforms raw data into actionable insights. Statistical techniques include:
- Descriptive Statistics — Means, frequencies, and standard deviations to summarize data
- Inferential Statistics — Hypothesis testing, confidence intervals, and regression analysis
- Multivariate Analysis — Factor analysis, cluster analysis, and conjoint analysis for complex relationships
As noted in the marketing management school of thought, "marketing strategy came to rely increasingly on statistical analysis of market research data." Advanced analytics has become essential for extracting insights from large datasets.
Kotler & Keller Marketing Management - Pearson
2.5 Forecasting Demand
Demand forecasting is the process of predicting future demand for products and services. Accurate forecasts are essential for capacity planning, inventory management, and strategic decision-making.
Types of demand forecasts:
- Company Forecast — Expected sales for the company's products
- Industry Forecast — Expected total sales for the entire industry
- Product Line Forecast — Expected sales for specific product categories
Forecasting methods include:
- Qualitative Methods — Expert opinion, Delphi technique, and market surveys
- Time Series Analysis — Trend analysis, moving averages, and exponential smoothing
- Econometric Methods — Regression models and structural equations
- Machine Learning — Advanced analytics and predictive modeling using AI techniques
Recent advances in AI have significantly improved the predictive capabilities of demand forecasting. As noted in a study on AI-driven CRM precision marketing, "recent advances in machine learning have significantly improved the predictive capabilities of CRM systems, enabling more accurate modeling of customer responses, purchase behavior, and churn tendencies."
Kotler & Keller Marketing Management - Pearson
Chapter 3 — Creating Customer Value, Satisfaction, and Loyalty
3.1 Customer Perceived Value
Customer perceived value is the difference between the total customer benefits and the total customer costs. It represents the customer's overall assessment of the utility of a product or service based on perceptions of what is received and what is given.
Components of customer perceived value:
- Total Customer Benefits — Product benefits, service benefits, personnel benefits, and image benefits
- Total Customer Costs — Monetary costs, time costs, energy costs, and psychic costs
Value-based marketing focuses on understanding what customers value and then delivering superior value. The Pentadigm model emphasizes a five-step approach: discover (understand the customer), commit (commit to the customer), create (create customer value), assess (obtain customer feedback), and improve (measure and improve value).
In business markets, demonstrating superior value requires a systematic approach. As noted in research on value merchants, companies need to "estimate the value of your market offerings, create value propositions that resonate with your customers, and maximize the return you will get on the superior value that you deliver."
Value-Based Marketing - Findgro
3.2 Delivering Customer Value and Satisfaction
Customer satisfaction is the perceived performance relative to expectations. When performance exceeds expectations, the customer is highly satisfied; when performance falls short, the customer is dissatisfied.
Key concepts in delivering value and satisfaction:
- Customer Value Delivery System — The network of activities and processes that delivers value to customers
- Value Chain — The sequence of activities through which a company adds value at each step
- Value Delivery Network — The system of partners and suppliers that contribute to delivering value
Value-based marketing emphasizes a systematic approach to creating and delivering customer value. The Pentadigm model provides a framework for "discovering what your customers value and then creating and managing a top-to-bottom organizational value-delivery strategy."
Customer satisfaction is a key driver of loyalty and profitability. Highly satisfied customers are less price sensitive, more likely to remain loyal, and more likely to recommend the company to others.
Kotler & Keller Marketing Management - Pearson
3.3 Customer Relationship Management (CRM)
Customer Relationship Management (CRM) is the process of managing detailed information about individual customers and carefully managing customer touchpoints to maximize customer loyalty. CRM has become a critical component of marketing strategy.
Key elements of CRM:
- Data Collection — Gathering comprehensive information about customers across all touchpoints
- Customer Analysis — Analyzing customer behavior, preferences, and profitability
- Targeted Marketing — Delivering personalized communications and offers
- Relationship Management — Building and maintaining strong customer relationships
As the marketing management paradigm has evolved, CRM has become increasingly sophisticated. A study of Bank Mandiri found that "Customer Relationship Management has a positive and significant effect on Relationship Quality and Customer Lifetime Value, direct or indirect effect."
AI-driven CRM approaches are transforming enterprise precision marketing. A recent study proposed "AI-CRM-PS, a unified AI-driven framework that integrates causal uplift estimation, customer lifetime value modeling, and churn-aware risk assessment into an end-to-end decision optimization process."
Kotler & Keller Marketing Management - Pearson
3.4 Loyalty and Retention Strategies
Customer loyalty is the likelihood of a customer continuing to do business with a company. Loyalty is a key driver of profitability because loyal customers purchase more, are less price sensitive, and refer others.
Strategies for building loyalty:
- Loyalty Programs — Rewarding repeat customers through points, discounts, or exclusive benefits
- Customer Engagement — Building emotional connections through personalized communication
- Service Excellence — Consistently exceeding customer expectations
- Relationship Marketing — Developing long-term relationships rather than transactional exchanges
Customer retention is essential for long-term profitability. It is generally more expensive to acquire new customers than to retain existing ones. A 5% increase in customer retention can increase profits by 25-95%.
In the Aspiag retail case study, the company "embraced this shift by leveraging its digital fidelity program, Despar Tribù, to better understand and engage its customers. Central to this effort is the continuous analysis of customer behavior, supported by a structured four-step Customer Journey framework and three CRM models."
Kotler & Keller Marketing Management - Pearson
3.5 Customer Lifetime Value (CLV)
Customer Lifetime Value (CLV) is the present value of the future cash flows attributed to the customer relationship. It represents the net profit a company can expect to earn from a customer over the entire duration of the relationship.
Key components of CLV:
- Customer Acquisition Cost — The cost of acquiring a new customer
- Customer Retention Rate — The probability of a customer continuing the relationship
- Customer Revenue — The revenue generated by the customer over time
- Customer Profit Margin — The profit margin on customer revenue
- Discount Rate — The rate used to discount future cash flows
CLV is a critical metric for marketing decisions because it helps prioritize customers, allocate marketing resources, and evaluate the effectiveness of marketing programs. CLV analysis enables companies to determine which customers are most valuable and focus on retaining them.
A study of low-priced hotels found that "commitment has the greatest effect on recommendation intention, while trust has the least impact." The study also found that "the commitment of the group with low customer value has more influence on recommendation intention" while "satisfaction and trust of the group with high customer value have more influence on recommendation intention."
Kotler & Keller Marketing Management - Pearson
3.6 Customer Equity
Customer equity is the total of the discounted lifetime values of all of the firm's customers. It represents the overall value of the customer base as an asset of the company.
Three drivers of customer equity:
- Value Equity — The customer's objective assessment of the utility of the product or service
- Brand Equity — The customer's subjective assessment of the brand
- Relationship Equity — The customer's assessment of the relationship with the company
Managing customer equity requires a comprehensive approach to customer value management. Companies must understand the drivers of customer equity and allocate resources to maximize the overall value of the customer base.
AI-driven approaches are increasingly used to optimize customer equity. Research on AI-CRM-PS demonstrates the potential to "directly align predictive modeling with decision-making goals" and "integrate causal uplift estimation, customer lifetime value modeling, and churn-aware risk assessment into an end-to-end decision optimization process."
Kotler & Keller Marketing Management - Pearson
Case Studies in Marketing Research & Customer Value
Case Study: Aspiag — Leveraging CRM for Customer Value Optimization
Company: Aspiag (Despar dealership)
Year: 2023-2024
Challenge: In the highly competitive large-scale retail market, Aspiag needed to transition from broad mass promotions to highly targeted approaches, aiming for one-to-one personalization. Customer loyalty is a cornerstone for success in this industry.
Strategic Approach: Aspiag leveraged its digital fidelity program, Despar Tribù, to better understand and engage its customers. Central to this effort was the continuous analysis of customer behavior, supported by a structured four-step Customer Journey framework and three CRM models:
- An RFM (Recency, Frequency, Monetary) model
- A customer categorization model based on product purchases
- A Customer Lifetime Value (CLV) model
Key Marketing Management Concepts Illustrated:
- CRM Implementation: Using data and analytics to understand customer behavior
- Customer Lifetime Value: Modeling the long-term value of customers
- Targeted Marketing: Moving from mass marketing to one-to-one personalization
- Customer Engagement: Using loyalty programs to build relationships
Lesson: The case demonstrates the importance of data-driven CRM strategies in retail and the value of integrating multiple analytical models for understanding and engaging customers effectively.
Aspiag Case Study - Università Ca' Foscari
Case Study: Bank Mandiri — CRM and Customer Lifetime Value
Company: PT. Bank Mandiri (Persero), Tbk
Year: 2025
Challenge: Bank Mandiri needed to strengthen customer perceptions through effective CRM implementation to improve relationship quality and customer lifetime value. Customer loyalty is a key challenge for bank performance growth.
Strategic Approach: The bank implemented CRM strategies to form customer value, reflected in metrics such as CES (Customer Effort Score), CSAT (Customer Satisfaction), NPS (Net Promoter Score), and SES (Satisfaction and Engagement Score).
Key Marketing Management Concepts Illustrated:
- CRM Implementation: Building relationship quality through strategic processes
- Customer Lifetime Value: Measuring and improving long-term profitability
- Customer Satisfaction: Using metrics to track and improve customer experience
- Relationship Quality: Building trust, satisfaction, and commitment
Lesson: The study found that CRM has a positive and significant effect on relationship quality and customer lifetime value, both directly and indirectly. Banks must improve their CRM implementation capabilities to increase relationship quality with customers and improve customer lifetime value.
Case Study: Value-Based Marketing at Dell Computer and Southwest Airlines
Companies: Dell Computer, Southwest Airlines, GE, Dow Corning
Year: 2003
Challenge: These companies needed to implement value-based marketing strategies that focused on creating and delivering superior customer value.
Strategic Approach: They applied a value-based marketing model - a pentadigm - for discovering what customers value and creating a top-to-bottom organizational value-delivery strategy.
Key Marketing Management Concepts Illustrated:
- Value-Based Marketing: Focusing on customer value as the central strategy
- Organizational Alignment: Creating a top-to-bottom value-delivery strategy
- Customer Discovery: Understanding what customers truly value
- Continuous Improvement: Assessing and improving value delivery
Lesson: The case illustrates how companies can implement value-based processes and improvements that are more than just a one-time approach. The Pentadigm model shows not only how to implement value-based processes but how to evaluate and validate new ideas and approaches, using real-life examples from customer-value pioneers.
Value-Based Marketing Model - Findgro
FAQ
What is Customer Lifetime Value (CLV) and why is it important?
Customer Lifetime Value (CLV) is the present value of the future cash flows attributed to the customer relationship. It is important because it helps companies prioritize customers, allocate marketing resources efficiently, and evaluate the long-term profitability of marketing programs. CLV analysis enables companies to focus on retaining the most valuable customers.
Kotler & Keller Marketing Management - Pearson
What is the difference between exploratory and causal research?
Exploratory research is conducted to clarify the nature of a problem or explore a situation, using methods like focus groups and interviews. Causal research is designed to test cause-and-effect relationships through experiments and test marketing. Exploratory research is typically used early in the research process, while causal research is used to test specific hypotheses.
Kotler & Keller Marketing Management - Pearson
What is Customer Relationship Management (CRM)?
Customer Relationship Management (CRM) is the process of managing detailed information about individual customers and carefully managing customer touchpoints to maximize customer loyalty. CRM involves collecting and analyzing customer data, delivering personalized marketing, and building strong customer relationships. AI-driven CRM approaches are transforming enterprise precision marketing by integrating causal uplift estimation, customer lifetime value modeling, and churn-aware risk assessment.
Kotler & Keller Marketing Management - Pearson
What is the Net Promoter Score (NPS)?
The Net Promoter Score (NPS) is a metric used to measure customer loyalty and satisfaction. It asks customers how likely they are to recommend a company to others on a 0-10 scale. Customers are categorized as Promoters (9-10), Passives (7-8), or Detractors (0-6), and the NPS is calculated as the percentage of Promoters minus the percentage of Detractors. NPS is considered an effective marketing metric for predicting customer behavior.
References
Kotler, P., & Keller, K. (2024). Marketing Management. Pearson
Webster, F. (2005). A Perspective on the Evolution of Marketing Management - Sage Journals
Foundations of Marketing Strategy - Findgro
Net Promoter Score Study - Review of Managerial Science
Aspiag Case Study - Università Ca' Foscari