Content, Brand and Marketing Executive - Specialising in Audio & Digital Content Creation
TAKE THE GUESSWORK OUT OF BUILDING YOUR ULTIMATE PLAYLIST… If you’re building playlists for a business or a radio station, one of the most important elements that is an easy oversight is ensuring the music you’re picking matches your target's taste (Not always your taste). We all believe we have the best taste but seeing real data takes away bias and gives you the edge of ensuring you’re not playing duds. The best way to do that is through music research and the trouble is it’s very expensive, time-consuming, and challenging to keep the database of people interested and engaged to ensure your station or playlist are all winners. Music tested in a traditional database for music purposes generally uses around 5-10 seconds of the song (Generally a chorus) and users completing the survey can sometimes have anywhere from 30 to hundreds of songs to rate in a sitting…. So fatigue or pure “let’s just get through this thing so I can claim my prize” becomes a BIG variant in your outcome. Then I noticed a post on Linked In from Samuel Zniber at MusicDataK and to say I’m impressed with his system is an understatement. What I love about the MusicDatak service * Way cheaper & no maintainance of the database required * It uses real-world data via streams, social media, and music apps * Targeted to your location and exact audience breakdowns * No human bias or sample testing * IT’S FAST - You get research in a matter of minutes and can do full database testing multiple times a year which is extremely hard to do with traditional methods as you’d need a monster budget. Check it out for yourself here on this link which also has a demo video. https://lnkd.in/gNEFkS5w As a Music Director, I always wanted more from research in terms of REAL WORLD data…. The kind that captures what’s happening in the people's cars or phones not a simulation scenario like we need to do with traditional research, this is the closest thing to that I’ve seen on the market. In this day and age, technology is doing some incredible things and this is an incredible and affordable option that WILL give you an edge over competitors. There is room in the world for both traditional and this modern form of research in my opinion. Needing databases of people to give real feedback on show content, station promotions, etc is key but from a music point of view, I believe this is the future of music research. So much of our lives is online and this program taps into that. So why not be on the cutting edge? Reach out to me if you want to discuss this along with our music scheduling service on The Music Hub - Music Programming
MusicDatak
7mo
Thank you, Matthew, for sharing your experience with MusicDatak! 🌟 We're delighted to hear how our service has positively impacted your playlist curation process. Your insights highlight the essence of our work: transforming music research by leveraging real-world data and eliminating bias. It's inspiring to see industry professionals like you recognize and appreciate the value of data-driven decisions in music programming. We're excited to continue supporting your journey and many others in the radio industry, making every playlist excellent. Let's keep pushing the boundaries of what's possible in music research together!
My passions: Radio and music - My job: Optimizing editorial content for radio stations and audio services - My specialty: Music research studies
7moMatthew, the contribution of data from platforms seems promising, but is still a little fragile from a methodological point of view at present, to be sufficient to define a programming strategy. Let's talk about it !! Traditional" music research makes it possible to : - Constitute a representative sample by defining quotas in line with its strategic objective - Qualify respondents down to the finest detail: Gender, age, social class, listening habits, etc. - Respect quotas for each wave, to ensure real trends unbiased by sample variations. - Diversify respondent recruitment by calling on neutral partners neutral partners (panels and social networks). - Limit the participation of "survey addicts": quarantine respondents for 6 to 12 weeks, favor first-time respondents, eliminate duplicates... - Filter respondents on the basis of montages/mixes representative of your channel - Cross-check collected data to ensure consistency, and clean the results base of atypical behavior (atypical durations, inconsistent responses, systematic responses, etc.). Etc.