CodeX - Energy Drink Survey Analysis
Power BI
Analyzed survey data for CodeX's energy drink launch in India using Power BI, providing 5-10 demographic insights, consumer preferences, and competitive analysis.
The CodeX - Energy Drink Survey Analysis project aims to provide comprehensive insights into consumer preferences and perceptions regarding energy drinks. This analysis is crucial for understanding market trends, customer satisfaction, and potential areas for improvement.
Below is a detailed explanation of the various components and metrics included in the dashboard:
-
Demographic Analysis
-
Age Distribution: Visual representation of the age groups of survey respondents.
-
Gender Breakdown: Pie chart illustrating the gender distribution of participants.
-
-
Consumption Patterns
-
Frequency of Consumption: Bar chart showing how often respondents consume energy drinks.
-
Preferred Brands: Visualization of the most popular energy drink brands among the respondents.
-
-
Consumer Preferences
-
Flavor Preferences: Insights into the preferred flavors of energy drinks.
-
Reasons for Consumption: Analysis of the primary reasons why respondents choose to drink energy drinks (e.g., taste, energy boost, etc.).
-
-
Satisfaction and Feedback
-
Overall Satisfaction: Gauge of customer satisfaction levels with current energy drinks.
-
Suggestions for Improvement: Summary of respondent feedback on how energy drinks can be improved.
-
-
Health and Awareness
-
Perceived Health Impact: Respondent perceptions of the health impacts of energy drinks.
-
Awareness of Ingredients: Insights into how aware consumers are about the ingredients in energy drinks.
-