perfume-designer-analysis

Signature Scent Analysis — Designer Fragrances

Project Overview

This project analyzes signature scent profiles of major designer fragrance brands using data analytics and visualization. By examining dominant fragrance accords across top, middle, and base notes, the analysis reveals how brands express identity, positioning, and target impressions through scent composition.

This project bridges data analysis and business insight by translating fragrance data into brand identity and market strategy.

🎯 Project Objectives

Identify dominant fragrance accords per brand
Understand how scent composition reflects brand positioning
Compare signature scent profiles across designer brands
Translate analytical findings into actionable business insights

🧪 Dataset Description

The dataset contains designer fragrance information, including: Brand

Gender (Men, Women, Unisex)
Top, Middle, and Base Notes
Main fragrance accords
Each fragrance may contain multiple notes and accords, which were transformed using data normalization techniques for accurate analysis.

🛠️ Tools & Technologies

Python

Pandas & NumPy – data preparation and transformation
Matplotlib & Seaborn – data visualization
Jupyter Notebook – exploratory data analysis and storytelling

📊 Key Analysis & Visual Outputs

Fragrance Pyramid Analysis by Gender

The figure below summarizes fragrance composition across the fragrance pyramid (top, middle, and base notes) segmented by gender. This visualization highlights how scent structures are tailored to different target audiences throughout the wear lifecycle.

Fragrance Pyramid Analysis by Gender

Insight:
Men’s fragrances emphasize fresh and aromatic openings, women’s fragrances highlight floral richness in the heart, while base notes across genders converge on woody and musky accords to support longevity and depth.

Signature Scent Analysis by Brand

This section presents brand-level signature scent profiles using radar charts. Each chart represents a brand’s olfactory fingerprint based on dominant fragrance accords.

Dior — Bold Citrus & Woody

Dior Signature Scent Radar

Insight:
Dior’s strong citrus dominance combined with woody and floral notes creates a bold, confident, and high-impact scent profile that reinforces its premium and expressive brand positioning.

Yves Saint Laurent — Warm, Spicy & Modern

YSL Signature Scent Radar

Insight:
YSL’s scent profile balances citrus freshness with warm spicy and aromatic accords, reinforcing its edgy, modern, and seductive brand positioning.

🧠 Key Findings & Insights

Brands use scent composition as a strategic branding tool, not randomly
Fresh and woody accords dominate mass-market and unisex positioning
Floral, gourmand, and spicy profiles are used to differentiate and create bold brand statements
Signature scent consistency strengthens brand recognition and emotional connection

💼 Business Implications

Product Development: Ensures new fragrance launches align with brand DNA Brand Strategy: Helps maintain consistent olfactory identity Market Opportunity: Identifies gaps for niche or hybrid scent profiles Marketing & Storytelling: Data-backed scent narratives enhance campaign effectiveness

📁 Project Structure

├── data/
│   └── fragrantica.csv          # Dataset utama
├── images/
├── notebooks/
│   └── perfume_notes_analysis.ipynb  # Analisis utama
└── README.md

🚀 How to Run

git clone https://github.com/RezaH-art/perfume-designer-analysis.git
cd signature-scent-analysis
jupyter notebook

👤 Author

Reza Habibulloh
📍 Data Analyst & Data Engineer
📌 Portfolio project focused on data-driven insights in lifestyle and luxury branding

📬 Contact & Connect
🔗 LinkedIn: https://www.linkedin.com/in/reza-habibulloh/
📧 Email: rezadoenk28@gmail.com
💻 GitHub: https://github.com/RezaH-art