Our sense of smell is primal and important, but there is still a need to decipher our human ability for detecting and categorizing smell. The perfume industry creates thousands of new scents each year, but the ability to choose a scent often relies on means that appeal to our other senses (eyes, ears, words, music) to create something to seduce the customer. Our goal was to provide an alternate approach to find an appealing scent. The resulting visualization shoes the relationship between best-selling perfumes based on their accord, and then breaks down their “notes” further for exploration by the end user.
I spent over a year searching for my signature perfume. What if there was a way to strip away marketing and ranking to help others find the perfect scent…
Searching for the right fragrance should be fun and playful. How to make a decision on a sense like scent using visuals?
Novice perfume buyers as well as afficionados who have basic knowledge and want to explore more.
PERFUME BY CATEGORY
Fragrances are often categorized by their “accord”. An accord is a way to broadly describe the overall impression of a perfume’s many components. Each circle is an accord, click to explore!
CREATING A DATA SET
CRITERIA FOR DATA
We needed a comprehensive set of perfume data, but based on the proprietary nature of the industry we decided to create our own. Our team decided to focus on scents that are popular and breaking down their elements.
We took the top 20 best selling female-targeted perfumes from both Nordstrom.com and Amazon.com. Each perfume was already ranked by popularity in regard to sales.
We created a mashup of information on the “accords” and “notes” of each perfume. The data was hand-coded from a number of various openly browsable websites.
DESIGN PROCESS AND prototypes
FIVE DESIGN SHEETS
TABLEAU DATA RESEARCH