Primary Data Collection and Marketing Research
Primary Data Collection in Marketing Research
Course Roadmap
Marketing Research (MR) Process
- Problem Formulation
- Exploratory Research
- Collecting Secondary Data
- Descriptive & Causal Research
- Collecting Primary Data
- Designing Questionnaire
- Survey Errors
- Developing the Sampling Plan
- Data Preparation
- Analysis and Interpretation
- Reporting the Results
Key Phases:
- Problem Definition
- Data Collection
- Data Analysis
- Information Reporting
Learning Objectives
- Distinguish seven types of Primary Data.
- Cite the three main approaches used to measure awareness.
- Give an important reason that marketers are interested in people's motives.
Examples of Communication and Observation in Data Collection
Questionnaire Method:
- Researchers ask participants to estimate the number of chocolates consumed.
- Example question: "How much dessert did you have on Labor Day?"
Observation Method:
- Researchers directly observe the number of chocolates consumed by participants in a prior event (e.g., last weekend).
Primary Data Collection Methods
- Methods Defined:
- Observations: Directly observing consumer behavior in real-time.
- Communication: Gathering data via interviews and questionnaires.
- Questionnaire and Interviews: Structured tools for data collection from participants.
Different Types of Primary Data
- Types classified into various categories:
- Motivation
- Intentions
- Awareness/Knowledge
- Behavior
- Demographic/Socioeconomic
- Personality/Lifestyle
- Attitudes
Detailed Types of Primary Data
1. Behavior
- Definition: Observational data derived from what individuals have done or are currently doing.
- Methods of Collection:
- Through direct observation
- Consumer self-reports on past behavior
- Examples:
- Online activities, technology-mediated research methods (video camera, eye tracking), scanner-based panels.
2. Demographic and Socioeconomic Characteristics
- Characteristics Included:
- Age, gender, education level, occupation, income, social class, etc.
- Purpose of Collection:
- To segment populations for marketing decisions and understand consumer behaviors.
- Examples of Analysis:
- Consumer attitudes toward green marketing analyzed by educational levels.
- Brand choices influenced by demographics such as age, gender, and income.
3. Personality/Lifestyle Characteristics
- Personality:
- Defined as the consistent patterns of behavior exhibited by individuals, encompassing different traits and attributes.
- Lifestyle (Psychographic):
- Reflects how individuals live, their interests, values, and preferences, impacting consumer choice and behavior.
4. Attitudes
- Definition: Overall evaluations of objects, including a person's inclination to like or dislike a product, brand, or company.
- Importance for Marketers:
- Understanding attitudes helps in predicting consumer behavior and preferences.
5. Awareness/Knowledge
- Definition: Understanding of facts about products, brands, or phenomena.
- Purpose for Marketers:
- To gauge what consumers know or believe about offerings in the market.
6. Intentions
- Definition: Anticipated or planned future behaviors, such as purchasing intentions or willingness to recommend.
- Purpose for Marketers:
- Help assess future demand for products or services.
- Example: “How likely would you be to purchase this product for someone else?”
7. Motivation
- Definition: A motive includes needs, wants, drives, or desires that energize a consumer's behavior towards specific goals.
- Theoretical Framework:
- Maslow’s Hierarchy of Needs illustrates consumer motivations ranging from basic (physiological) to higher-level psychological needs.
- Marketing Strategy:
- Effective marketers align their products to appeal to the relevant levels of Maslow's hierarchy.
Differences Between Primary and Secondary Data
| Feature | Secondary Data | Primary Data |
|---|---|---|
| Type | Census data, sales invoices, internet information, journal articles | Observed consumer behavior, communications (focus groups, interviews, surveys), experiments |
| Advantages | Saves time & is often cost-effective | Specific to immediate data needs; provides insights into behaviors not available from secondary |
| Disadvantages | Potential relevancy issues; may not be timely; potential bias | Often costly and time-consuming; requires advanced training to design studies and collect data |
Summary of Primary Data Types
- Types of Primary Data:
- Behavior
- Demographic/Socioeconomic
- Personality/Lifestyle
- Attitudes
- Awareness/Knowledge
- Intentions
- Motivation