Mastering Research Design: A Comprehensive Approach
Understanding Research Design Concepts
Research design is the framework or plan for a study that guides the collection and analysis of data. It acts like a blueprint for building a house—it defines what the researcher will do, from writing the hypothesis and its operational implications to the final analysis of data. It ensures that the study is conducted in an organized, systematic, and efficient manner.
Example: If you want to study “The effect of advertising on consumer buying behavior,” the
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Digital Marketing Performance Metrics
Understanding Cost Per Models
In digital advertising, various cost models dictate how advertisers pay for user engagement:
- Cost Per Impression (CPM)
- Cost Per Click (CPC)
- Cost Per Lead (CPL)
- Cost Per Acquisition (CPA): This is often considered the most advantageous system for advertisers. Payment is made only for each completed action by a user, making it an ideal model to determine the Return on Investment (ROI) of any campaign.
Lead Nurturing Process
The lead nurturing
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Analytics 2.0 Components
Analytics 2.0 includes the following components for continuous improvement based on user experience:
- Analysis of quantitative data from your website and your competition.
- Clickstream analysis
- Multiple outcomes analysis
- Experimentation and testing
- Voice of the customer analysis
- Insights and competitive intelligence
Time on Site vs. Time on Page
Time on site is a key metric for determining how useful visitors find your entire website. It helps answer questions like: How long do visitors
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Earned Data
- Observe viral content and high-impact strategies to gather data for effective, credible, and free strategies (though uncontrollable).
Types of Analytics Tools
- Tag-based: Track user behavior online. Example: Google Analytics.
- Audience-based: Focus on TV users; some users install tracking software. Example: Comscore.
Relevant Variables for Decision-Making
- Data collection (standard and customizable).
- Flexibility of the data model (segmentation of variables).
- Data integration (from external sources
Secondary Data and Market Research Techniques
Secondary Data: Advantages and Disadvantages
Secondary Data are data that have already been collected for purposes other than the problem at hand.
Advantages of Secondary Data
- Easily accessible and relatively inexpensive.
- Can help in identifying and better defining the problem.
- Helps in developing an approach to the problem.
- Answers certain research questions and tests some hypotheses.
- Allows for more insightful interpretation of primary data.
Disadvantages of Secondary Data
- Usefulness may be limited in
Research Methods: Qualitative vs. Quantitative, IMRD, Abstracts & More
Research Fundamentals
1. The Investigation Process: Scientific investigation involves rigorous strategies and procedures to discover new knowledge. This process helps us draw conclusions about research.
2. Qualitative vs. Quantitative Research
Qualitative research is exploratory and delves into the ‘why’ and ‘how’ of phenomena, using words rather than numbers. It is often more time-consuming due to in-depth interviews. Key characteristics include:
- Subjective
- Exploratory
- Inductive reasoning
- Purposive sampling
- Process-