Title	AXE ONE SONG STAND
Brand	UNILEVER / TURKEY
Product/Service	BODY SPRAY DEODORANT
Category	A01. Creative Data Enhancement
Entrant	MANAJANS/J. WALTER THOMPSON Istanbul, TURKEY
Idea Creation	MANAJANS/J. WALTER THOMPSON Istanbul, TURKEY
Media Placement	MINDSHARE Istanbul, TURKEY
Production	VANA FILM Istanbul, TURKEY

Name	Company	Position
Sami Basut	Manajans J. Walter Thompson Turkey	Creative Director
Sanli Kayabolen	Manajans J. Walter Thompson Turkey	Sr. Copywriter
Tunchan Kalkan	Manajans J. Walter Thompson Turkey	Sr. Art Director
Rahim Masunu	Manajans J. Walter Thompson Turkey	Art Director
Burc Sabuncu	Manajans J. Walter Thompson Turkey	Copywriter
Leslie Krespin	Manajans J. Walter Thompson Turkey	Client Services Director
Ece Ozyurt	Manajans J. Walter Thompson Turkey	Account Director
Nuran Rona	Manajans J. Walter Thompson Turkey	Account Supervisor
Setenay Ergin	Manajans J. Walter Thompson Turkey	Account Supervisor
Sevim Ozgur	Manajans J. Walter Thompson Turkey	Account Executive
Emre Suvari	Manajans J. Walter Thompson Turkey	Interactive Communication Director
Gokhan Akinci	Manajans J. Walter Thompson Turkey	Digital Project Manager
Safak Serter	Manajans J. Walter Thompson Turkey	Agency Production Head
Ahmet Bayik	Manajans J. Walter Thompson Turkey	Agency Producer

The Campaign

Men are more attracted to women with an identical music taste. So, what better way to use their music data for finding a date. But how could we use their musical tastes for our advantage. Facebook interests wasn’t enough. We needed the truth not the lies you tell others about your music taste. So we needed to use the current data on Spotify at that exact moment. You can outlie surveys but you can’t fake what you are listening to on spotify. That was our big chance to make data work for our objective. To clear out the jungle of potential dates and focus only on the ones that share the same musical taste. That was possible through use of data. Innovation was on the spontainety of the match. You didn’t know a friend. Or a friend of a friend. It was based on pure serendipity. Just like in life. Listen – Match - Mate A dating site, that hooks you up with someone listening to the same song. Preferred gender with the song data is what creates the match. Matching through a song data is not only a first for a brand but also a first in the world.

From our target audience, 685.000 people engaged with the site in less than a week. The total chat time is 417.295 minutes corresponding to 289 days. Instead of listening directly from Spotify, our target audience chose onesongstand.com to search and listen to their songs, so that they could catch two birds with a stone. Listen to music and mate. For every 2 people in the site, 1 match. Once guys learned about it, the idea of being matched by their music taste differentiated the app from all others and made it talk of the town. ‘AXE is a cool & trendy brand’ attribute increased for the first time since Q4 2014. Just during the month of April, when OneSongStand.com was launched, AXE increased its market share by 120 bps, reaching its highest market share since June 2015.

The creative idea is totally based on the data of the song being listened to on Spotify. That starts the algorithm of the match between the man and the woman. We realized that music was the icebreaker for meeting and mating, so decided to use the music data to make the match.

The studies show “Men are more attracted to women sharing the similar music tastes”. It also is the case in our lives. We use music as an icebreaker, or something to make conversation about. The pickup places are mostly music oriented. (night-outs, festivals) Music is the ultimate wingman that triggers dopamine production. We made good use of this dopamine and diverted it to a date. Dating apps and sites have become the area for mating game in the past years. Music platform is a relevant medium for the target audience (20-35 males) Fusing mating game with a musical experience is a new approach in this area. Data of the songs being listened to on Spotify are used to make the match. Two random people’s song datas with their preferred matching gender make the match and start the chat. We also used the most listened song data to enhance the conversation and make more matches.