About MusicDatak

Who We Are

Welcome to MusicDatak, the innovative research company for radio stations. Headquartered in France, we are a cutting-edge SaaS company revolutionizing the way radio stations understand and engage with their audience. Founded by industry veteran Samuel Zniber, our team comprises experts in data science, machine learning, and radio programming.

What We Do

MusicDatak empowers radio stations with actionable insights derived from a myriad of data points across multiple platforms. We analyze listener behavior from streaming services like Spotify, Apple Music, Deezer, and social media platforms such as Facebook, Instagram, and TikTok. Our proprietary algorithms create a unique formula for each radio station, ensuring precise and reliable results.

Our Global Reach

We are proud to serve successful radio stations in multiple countries, including the USA, New Zealand, France, Switzerland, Portugal, Sweden, Norway, Estonia, Ivory Coast, and Cyprus. Our international footprint is a testament to the effectiveness and reliability of our services.

Our Methodology

We respect data privacy and adhere to stringent European regulations. Our algorithms are designed to be ultra-efficient, providing individualized results that are both accurate and actionable. We normalize and harmonize data from various sources, including:

• Music Platforms: Deezer, Spotify, Apple Music, and more.
• Social Media: TikTok, Instagram, Facebook.
• Other Sources: Shazam, MusixMatch, SoundCharts.

Our Metrics

• MusicDatak Score: A unique, data-driven metric that quantifies the relevance and impact of a song for a specific radio station's audience, offering unparalleled insights for more effective programming and audience engagement.
• Top Genre: Understand the musical genres that resonate with your audience.
• BPM: Gauge the tempo that keeps your listeners engaged.
• Energy: Measure the intensity and activity level of tracks.
• Danceability: Know how suitable a track is for dancing.
• Mood: Assess the emotional tone of the music.
• Gender: Analyze the gender distribution of artists to ensure a balanced playlist.
• Music Key: Identify the musical key of tracks for harmonically compatible programming.
• And more coming like P1s, P2s, Burn, Familarity, Sorting by cities ...

Why Choose Us?

1. Precision: Our data is 100% representative of what your audience is actually listening to.
2. Customization: Unique formulae tailored for each station.
3. Comprehensive Data: Multi-platform insights for a 360-degree view.
4. Quality Assurance: Human-assisted AI for high reliability.