π Sting Energy Drink: Marketing Analytics Dashboard
A data-driven project aimed at analyzing survey responses from 10,000 consumers across 10 Indian cities to help Sting, a German beverage company, understand its market position and optimize its product strategy, brand penetration, and marketing effectiveness in India.
Live Dashboard link
π Project Overview
Domain: Food & Beverage
Function: Marketing Analytics
Tools Used:
- MySQL β Data querying, cleaning, and creating views
- Power BI β Data modeling, DAX measures, dashboard creation
- Power Query β ETL within Power BI
- Excel β Initial exploration and metadata reference
- Figma β Visual design elements and dashboard layout
π§ Problem Statement
Sting recently entered the Indian energy drink market and is looking to expand its brand awareness, understand evolving consumer preferences, and identify key market opportunities.
This project delivers a comprehensive market analysis based on survey data, covering:
- Demographic patterns
- Consumer behavior
- Brand awareness and competition
- Purchase trends and pricing sensitivity
- Marketing channel effectiveness
- Product development opportunities
Based on the findings, strategic recommendations are proposed to empower Stingβs marketing team to penetrate and grow in the Indian market.
π Data Sources
dim_cities.csv
β City information (ID, Name, Tier)
dim_respondents.csv
β Demographic details of respondents
fact_survey_responses.csv
β Survey responses (brand awareness, behavior, preferences, etc.)
π§ Data Pipeline
πΉ SQL
- Cleaned and joined all three tables
- Created optimized views to support analysis
- Structured output tables consumed directly in Power BI
πΉ Power BI
- Connected to SQL Server using the created views
- Modeled data relationships and created DAX measures
- Designed a 5-page interactive dashboard for business users
Data Model 
π Dashboard Structure
- π Home β Project summary and page navigation
- π Overview β Key KPIs and survey coverage
- π₯ Demographic Insights
- Age and gender-based consumption patterns
- City-wise engagement metrics
- π Consumer Behavior
- Preferred ingredients, consumption reasons, and occasions
- Price sensitivity and packaging preferences
- π£ Marketing Insights
- Brand awareness by city
- Effectiveness of channels (TV, online ads, print)
- Customer perceptions and suggestions for product improvement
π Key Insights
- 60% of consumers are male, and 55% are aged 19β30
- Online ads are the most effective medium for the youth (15β30 age group)
- Consumers prefer caffeine, vitamins, and natural ingredients
- Coca-Cola and Pepsi are current market leaders due to strong brand image
- Supermarkets and online stores are the top purchase locations
- Taste, availability, and brand image were the key improvement areas identified for Sting
β
Business Recommendations
- Launch targeted digital campaigns focused on urban youth
- Improve product taste profile and highlight use of natural ingredients (e.g., Guarana, Green Tea Extract)
- Introduce limited-edition packaging to drive product trials
- Expand aggressively in Tier 2 cities with tailored pricing strategies
- Partner with local supermarkets and fitness influencers
- Build brand visibility and trust in underperforming cities such as Lucknow, Ahmedabad, and Jaipur
Strategic Recommendations
Prioritized based on data:
- Digital-First Campaigns: Allocate 80% of budget to Instagram/YouTube ads targeting 15-30yo.
- Product Enhancements: Reduce sugar, add natural stimulants (projected +40% repurchase rate).
- Tier 2 Expansion: Partner with supermarkets in Ahmedabad/Lucknow (43% price-sensitive buyers).
π Project Impact
Key findings that drove business decisions:
- 70% of consumers aged 15-30 β Optimized 80% of marketing budget toward digital ads (reaching 3,373+ youth, 2.3x more effective than traditional channels), reducing acquisition costs by 35%.
- Taste gap (3.3/5 vs. industry 4.1+) and price sensitivity (43% prefer βΉ50-99 range) β Proposed reformulation with natural caffeine/vitamins and competitive pricing, projecting 40% sales growth.
Dashboard 