Spotify and adidas have teamed up to release 'adidas go,' an app that curates users' soundtrack according to their pace.
The app functions by using the iPhone's acceleratometer to measure the user's stride rate, which is then paired to songs with matching beats-per-minute. This ensures that the workout and playlist are perfectly in-sync, providing a cohesive exercise experience. The adidas go app can also suggest new music for the user based on their previous listening history and preferred artists and playlists.
Going to the gym is no longer something consumers have to drag themselves out of bed for. Athleticism and fitness culture is on a rise, emerging from a love of sport and activity, and consumers are always searching for ways to make their fitness experience more holistic.
Key Themes Behind This Trend
- Personalized Workout Soundtracks
- The partnership between Spotify and adidas highlights a trend towards personalized workouts, in which technology creates custom soundtracks for the individual exerciser.
- Wearable Technology in Fitness
- The use of accelerometers in the adidas go app is part of a larger trend of integrating wearable technology into fitness that can track metrics such as heart rate, steps taken, and more.
- Music Streaming in Workout Apps
- With the release of the adidas go app, there is a trend towards workout apps partnering with music streaming services to offer curated playlists for users during exercise.
Where This Applies
- Sportswear
- Sportswear companies have an opportunity to partner with music streaming services and create apps that integrate with wearable technology to offer personalized workout experiences.
- Health and Fitness Tech
- Health and fitness tech companies can benefit from the trend towards personalized workouts and integrate more sensors and data analysis to create even more custom experiences for users.
- Music Streaming Services
- Music streaming services can expand their reach by partnering with workout apps and creating curated playlists that offer optimal music selection for users based on metrics such as stride rate and heart rate.
