Marketing Research

Module 7 Marketing Research Notes

Marketing Research and Marketing Analytics Implications

  1. Relationship between Marketing Research and Marketing Analytics:

    • Interrelated, but distinct concepts.

    • Marketing analytics identifies purchasing patterns through techniques like data mining.

    • Analyzes complex relationships among data sets through methods like data modeling, a rapidly growing analysis technique.

Case Study: LEGO

  • Transformation through Marketing Research:

    • Initially focused solely on young children as customers.

    • Research indicated interest from adults, leading to a strategy shift.

    • Resulted in expanded product lines targeting not only adult customers but also young girls.

The Importance of Marketing Research

  • Definition:

    • Marketing research is the act of collecting, interpreting, and reporting data regarding a specific marketing problem.

    • Recognized as increasingly vital due to:

      • Globalization of markets.

      • Shortening of product life cycles.

    • Firms must gather timely information and act promptly to maintain competitiveness.

Marketing Research and the Four Ps

  • Product:

    • Development must align with customer needs and wants.

  • Price:

    • Involves demand analysis to understand customer demand and its driving factors.

  • Place:

    • Uses sales forecasting to estimate product sales over time.

  • Promotion:

    • Incorporates studies on advertising effectiveness and sales tracking for evaluating promotional activities.

The Marketing Research Process

  1. Step 1: Problem Definition

    • Set specific and measurable research objectives.

    • Example from LEGO: Better understand the simple, instinctive act of playing.

  2. Step 2: Plan Development

    • Known as research design, this step formulates the strategy to address the identified research problem.

    • Types of research methodologies:

      • Exploratory Research

      • Descriptive Research

      • Causal Research

  3. Step 3: Data Collection

    • Determine whether data can be sourced from existing datasets or if new data must be collected.

    • Primary Data Collection: Specifically gathered for the research issue; can be qualitative or quantitative.

  4. Step 4: Data Analysis

    • Analyzing qualitative data involves:

      • Coding: Assigning identifiers to data segments for easier sorting.

    • Analyzing quantitative data includes:

      • Performing statistical analysis to classify and present numerical information.

      • Descriptive Statistics: Describes characteristics of data set.

      • Inferential Statistics: Makes generalizations about a larger population based on a sample.

  5. Step 5: Taking Action

    • Deliver findings via a formal report that addresses the marketing problem or questions.

    • Reports should transparently convey any research limitations.

Marketing Research Data

  • Definitions:

    • Data: Facts or measurements of occurrences.

    • Information: Result of structuring data to clarify relationships or phenomena.

Primary versus Secondary Data

  • Primary Data:

    • Collected directly for the research problem; more costly and time-consuming but offers nuanced insights.

  • Secondary Data:

    • Previously collected data for differing purposes; less expensive but may lack relevance.

Differences between Primary and Secondary Data

  • Collection Methods:

    • Primary Data: Through interviews, observations, surveys, etc.

    • Secondary Data: Literature reviews and reports from external sources.

  • Advantages of Primary Data:

    • Specific to the research being conducted, offering deeper insights into customer behavior.

  • Disadvantages of Secondary Data:

    • Potentially outdated or inaccurate, with relevance often questionable.

Sources of Primary and Secondary Data

  • Primary Sources:

    • Observations, interviews, focus groups, questionnaires, etc.

  • Secondary Sources:

    • Internal company records, government reports, academic journals, etc.

Experimental Research in Marketing Research

  • Definition:

    • Type of causal research that investigates effects of changes in independent variables on dependent variables.

  • Validity Measures:

    • Internal Validity: Determining if observed outcomes are genuinely due to experimental manipulations.

    • External Validity: Extent to which findings can be generalized beyond sample subjects.

Competitors and Consumers in Marketing Research

  • Proper marketing research enhances understanding of consumer needs and creates value by addressing those needs.

  • Competitive Intelligence:

    • Gathering strategic data on competitors’ new product developments and marketing mix strategies.

Marketing Research Ethics

  • Privacy Concerns:

    • Companies must avoid overstepping in collecting sensitive information.

  • Using Data Responsibly:

    • Misuse of research methods and results is another ethical concern; various organizations have set ethical standards to guide researchers.

Artificial Intelligence in Marketing Research

  • AI enables deeper customer behavior insights through:

    • Predictive Analytics: Forecasts based on historical data.

    • Natural Language Processing (NLP): Used for sentiment analysis by evaluating customer feedback and discussions on social media.

    • Personalized marketing message generation for improved engagement.

Conclusion: Differentiating Marketing Research from Marketing Analytics

  • Marketing research is iterative and seeks to answer specific questions

  • Marketing analytics utilizes this data to derive actionable insights and patterns, incorporating methods such as data mining and statistical modeling.