Advertising Research
About Advertising Research
Advertising
research is a systematic process of marketing research conducted to
improve the efficiency of advertising. Advertising research is a
detailed study conducted to know how customers respond to a particular
ad or advertising campaign.
Why is Advertising Research important?
Conducting research before launching a new product and subsequently developing an ad has the following advantages:
•
Develops creative design and strategy: Once, all information is
available, it is very simple to develop an eye-catching design. It also
helps in making a well-defined strategy to develop your business.
•
Identifies opportunities and Research suggestions: It suggests what is the right time to
launch the product. It also tells which geographical location is the
best for the product.
• Measures Your Reputation: It is always
beneficial to know your competitor’s reputation and credit in the
market. It helps to develop a faultless strategy.
• Identifies Major Problems: Research helps to identify the potential problems.
• Analyzes Progress: It helps to analyze the performance of your product. Likewise, you can monitor your progress.
• Minimize the Risk: If you have done thorough research, there is the least chance of failure.
Who should take the Advertising Research Exam?
• Branding or Market research or advertising research professionals
• Anyone who wants to assess their Advertising Research skills
• Branding or Market research or advertising research managers and senior executives
• Branding or Market research or advertising research consultants
• Professionals working in outsourced companies responsible for Advertising Research
• Any professional with skills and knowledge in Advertising Research
• Anyone interested in Advertising Research
Advertising Research Certification Course Outline
1. Advertising Research Process
2. Scientific Method and Research Design
3. Research and Data Objectives
4. Research Communication
5. Primary Data Collection
6. Secondary Data Collection
7. Sampling and Hypothesis
8. Data Processing and Analysis
9. Multivariate Data Analysis
10. Forecasting Methods