9A

Evolution and Definition of Marketing Research

• Historical Paradigm Shift:

  • Production Era: Pre-1950s; minimal competition; products manufactured without prior research (e.g., Ford Model T offered only in black).

  • Sales to Marketing Era: Increased competition required researching consumer wants before manufacturing.

• Definition: The process of planning, collecting, and analyzing data relevant to marketing decisions.

• Strategic Integration: Serves as a feedback loop in the GSTIC framework (Goal, Strategy, Tactics, Implementation, Control) to monitor performance and refine marketing actions.

Types of Marketing Research Providers

• Internal Corporate Departments: In-house research divisions in large (e.g., Procter & Gamble, Johnson & Johnson) or small companies (e.g., SwiftWick).

• External Advertising Agencies:

  • Major agencies (e.g., Saatchi & Saatchi) study promotional messaging and imagery.

  • Digital boutique agencies (e.g., Local Searchmasters) handle specialized online marketing and SEO.

• Syndicated Marketing Research Firms: Data firms (e.g., Nielsen) collect continuous market data and sell datasets to businesses.

Research Approaches and Usage Guidelines

• Systems vs. Project Approach:

  • Systems Approach: Continuous, long-term monitoring (like a candle flame) providing operational data via MIS (e.g., sales reports).

  • Project Approach: Focused snapshot over a finite period (like a camera flash) targeting specific problems or opportunities.

• Managerial Decision Principle: Use the $80/20$ rule ($80\%$ research data, $20\%$ intuition).

• When NOT to Conduct Project Research:

  1. Results are unactionable or unused.

  2. Managers disagree on needed information (requires exploratory research first).

  3. Information already exists as secondary data.

  4. Research is unethical (monitored by Institutional Review Boards / IRBs).

The 7-Step Project-Based Research Process

1. Formulate the Problem: Specify decision problems and research requirements.

2. Determine Research Design: Choose qualitative or quantitative frameworks.

3. Determine Data Collection Method: Distinguish primary data (firsthand) from secondary data (pre-existing sources like Census Bureau or CDC).

4. Design Data Collection Forms: Create surveys, questionnaires, observation plans, or focus group agendas.

5. Design Sample: Identify target population, sampling frame, and sample size.

6. Collect and Edit Data: Execute field collection and clean, edit, and code data.

7. Analyze, Interpret, and Report Findings: Perform statistical analysis and present actionable recommendations.

Decision Problems vs. Research Problems

• Decision Problems: Broad managerial operational choices.

  • Discovery-Oriented: Answers "what" or "why" to identify causes (e.g., "Why are store revenues low?"). Uses exploratory research.

  • Strategy-Oriented: Answers "how" to implement solutions (e.g., "How do we modernize a logo?").

• Research Problems: Specific, actionable restatements of decision problems into testable research choices (e.g., choosing among candidate logo designs).

Classifications of Research Design

• Exploratory Research: Focuses on gaining insights and forming hypotheses using qualitative (textual) data.

• Descriptive Research: Measures frequencies and correlations using quantitative (numerical) data without establishing causality.

• Causal Research: Establishes cause-and-effect relationships ($A \rightarrow B$) through laboratory or field experiments.

  • Evaluated by variance explained ($R^2$):

  • Small effect: $R^2 = 0.05$ ($5\%$ variance explained)

  • Medium effect: $R^2 = 0.10$ ($10\%$ variance explained)

  • Large effect: $R^2 = 0.15$ ($15\%$ variance explained)