https://github.com/kishorereddypudi/codex-energy-drink-analysis
Codex-energy-drink-analysis
https://github.com/kishorereddypudi/codex-energy-drink-analysis
dashboard data-visualization dataanalysis database mssql powerbi
Last synced: 5 months ago
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Codex-energy-drink-analysis
- Host: GitHub
- URL: https://github.com/kishorereddypudi/codex-energy-drink-analysis
- Owner: kishorereddypudi
- Created: 2024-08-02T03:23:51.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-10T10:40:18.000Z (almost 2 years ago)
- Last Synced: 2025-06-05T03:56:06.562Z (about 1 year ago)
- Topics: dashboard, data-visualization, dataanalysis, database, mssql, powerbi
- Homepage:
- Size: 2.97 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Domain: F & B, Function: Marketing
This is a resume project, conducted by Codebasics in Food and Beverage Industry.
CodeX, a German beverage company, has launched its energy drink in the dynamic Indian market. Initial launch spanned across 10 cities in India, marking the beginning of its market strategy. Market research conducted by the Marketing team garnered insights from 10,000 respondents in these cities. Objectives: Increase brand awareness, capture market share, and drive product development initiatives. Let’s delve into the survey results and strategic recommendations to propel CodeX’s success in India.
Tool Used
• For solving SQL queries: MY SQL
• For visualization: Power BI
Key Insights
• Among the surveyed population, Males show the highest preference for energy drinks, accounting for 60.38% of the total respondents. while Females also enjoy them, making up a significant portion (34.55%).
• People aged 19-30 are the biggest fans of energy drinks, constituting the largest segment with 5.5K individuals (>50%) followed by age groups 31-45 and 15-18, indicates that energy drinks are more popular among younger people (15-30). The numbers show that as people get older, they might not be as interested in energy drinks.
• Among youth aged 15-30, online ads appear to be the most effective marketing channel, with total 3373 respondents, followed by TV Commercials. The dominance of online ads suggests that digital platforms are highly effective in capturing the attention of young consumers.
• Caffeine is the most preferred ingredient among respondents, with 38.96% indicating its importance in their preferred energy drinks. Following closely, 25.34% of respondents express a preference for vitamins in beverages, reflecting their interest in additional health benefits.
• Most respondents prefer compact and portable cans for energy drinks (40%), indicating a preference for convenience and on-the-go consumption. Following closely, Innovative bottle designs are favored by 30% of respondents.
• Coca-Cola holds the top position, indicating strong brand loyalty and recognition, closely followed by Bepsi and Gangster. Codex lists in the Top 5 suggesting its relevance in the industry.
• Online ads are more effective in reaching the 19-30 age group, while TV commercials are more successful in reaching the 19-45 age group among Codex’s target audience.
• Our brand received an average taste rating of 3.27, showing that most people find our products reasonably enjoyable. However, 60% of respondents expressed a Neutral stance towards the brand. So, efforts should be directed towards any issues to enhance brand appeal and engagement.
• Bangalore garners the most attention and positive feedback. Followed by Mumbai, Hyderabad, Chennai and Delhi also exhibit a notable presence of positive and neutral feedback.
• Focusing on these cities with targeted campaigns and initiatives can solidify our presence and resonate with the local audience. Supermarkets are the most preferred choice for nearly half of the respondents (44.9%). Followed by Online retailers (25.5%) indicates the importance of strong online presence and Gym and fitness centers (14.6%) targets health-conscious consumers.
I Learned from this project
Through this project, I've learned to analyze survey data effectively using MySQL and Power BI. I've gained insights into consumer preferences and marketing strategies in the energy drink industry. This experience has taught me the importance of understanding customer needs and market trends to drive brand success.