Water & Music’s Post

Increasingly an artist and/or their management team have to be data scientists in order to build effective strategies for breaking a band. It is sad and tiresome and limits the reach of talented musicians in many cases because they are not able to connect through digital/viral means. This doesn't mean they aren't brilliant performers, technicians, musicians, storytellers, brand craftspeople, promoters, showmen, or producers. It just means that they don't know the best ways to leverage the most current and relevant platforms to maximize their reach and budgets.

Very useful info information on one page for all musicians and artists to promote and analyze their results

"Data & analytics in music are critical to develop stronger, longer-lasting connections between artists and fans." I recently read the takeaways from the Water & Music “music marketing data bootcamp” and the learnings resonate to me 📈🤓 If you manage marketing campaigns for an artist or a label as I do, you look at first party and third party music analytics tools and you analyze data coming from social media platforms and email marketing tools, at least.  The map of the data tools in the music industry is very fragmented and it creates operational challenges, therefore, even before starting analyzing data, it is important to define: 📌 What is the artist's strategy? An artist marketing strategy takes into account the reason behind the own artistry and it must be as unique as the artist’s music.  📌 How do you define a return on investment? It can be social media reach, fan acquisition on streaming platforms, loyal fan base engagement, playlist features and growth of streams According to the stage of the artist the goals behind your strategy and campaigns will vary. My suggestion is not just to look at the data but to invest time in advance to set your targets and to use a tool like Chartmetric to define the performance benchmarks. If you like, let me know how you leverage data for your music marketing campaigns? #musicmarketing #musicbusiness #musicbiz #artistmanagement #artistdevelopment #recordlabel #releasemanagement #musicindustry #dataanalytics #dataanalysis #marketingdata #strategy

Very useful tools

It's amazing how much data we have at our fingertips nowadays. It's kind of a double-edged sword now because there's so much of it that to a new artist, this might seem really overwhelming. The biggest ones for the groups I've worked with were Spotify for Artists, Meta & Google Analytics, Linktree, ToneDen, and Mailchimp. (though, last I checked, Mailchimp isn't as accessible as it used to be for artists...) Which of these tools has mattered the most to you and your music career?

#AppleMusic announced that it is rolling out a new ‘Partner Program’ for labels and distributors. The program includes various data analytics tools designed to help them gain a better understanding of the music landscape and measure the performance of their #marketing strategies. Read our article to learn more about this program. Michele M. #iMusician #MusicDistribution #RecordLabel #MusicIndustryNews #MusicBusiness

🎵 Exciting News from our Online Music Store Analysis Project! 🎵 Are you ready to dive into the beats of data analysis? Our latest project has just hit the high notes, using SQL to dissect the dataset of our online music store. 📊🎶 Project Overview: In this project, we delved deep into our store's data to uncover insights that can fuel our growth and enhance decision-making processes. From determining popular genres and artists to understanding customer spending habits, we've left no chord unstrummed. Key Questions Answered: Our project isn't just about numbers; it's about finding the rhythm of success. Here's a taste of the questions we've answered: - Who are our top artists and what's their track count? - Which countries are leading in music purchases? - What's the most popular genre in each country? Results: The crescendo of our efforts has led to some exciting findings: - Rock takes the spotlight as the most popular genre. - Queens reigns supreme as the most beloved artist. - War Pigs claims its throne as the ultimate crowd-pleaser. New Questions, New Discoveries: But wait, there's more! Our journey doesn't end here. We've embraced new queries, unlocking fresh insights: - From identifying our top-spending customers to pinpointing the best city for a promotional Music Festival, we're just getting started. Conclusion: Our project isn't just about analyzing data; it's about orchestrating success. With the insights gleaned, our store is poised to make informed decisions, refine marketing strategies, and curate a musical experience that resonates with our audience. Join us in celebrating the harmonious fusion of data and music, and let's continue to march to the beat of progress! 🎉🎶 project link:https://lnkd.in/gjua3hmM #MusicAnalytics #DataDrivenDecisions #SQLMagic #BusinessInsights #OnlineMusicStore #DataAnalysis #MusicIndustry #MarketingStrategy #CustomerInsights #DataVisualization #SQLProject #BusinessPerformance #MusicLovers #MarketResearch #DecisionMaking #BusinessIntelligence #Analytics #SQLQueries #DataMining #MusicTrends #DigitalMarketing #CustomerExperience #MusicFestival #PromotionalEvent #SuccessStories #Entrepreneurship #Innovation

🎶 Maximising the Value of Music Catalogues 🚀💰 Have you ever pondered how to unveil the true value of a music catalogue? 🤔 It's not just about the hits; it's about understanding the data. 📊 In today's dynamic music industry, investors engaged in music IP have a golden opportunity to harness the power of data to enhance the value of their investments. 🌟 Let's dive into this exciting world of music asset projections and how data can uncover hidden treasures. 🎵 1. Targeted Investment Strategies 📈 Data-driven insights enable investors to identify not just the chart-toppers but also the sleeper hits within a music catalogue. By understanding consumer preferences, market trends, and historical data, investors can strategically allocate resources to promote and monetise these hidden gems. This targeted approach can significantly boost the revenue potential of a music catalogue. 2. Predicting Future Trends 📆 Predictive analytics isn't just about looking back; it's about looking ahead. By analysing real-time market trends, consumer behaviours, and emerging genres, investors can make informed decisions about acquiring or divesting music assets. This foresight allows them to ride the wave of future music trends and position their portfolios for maximum returns. 3. Tailored Marketing and Licensing 🎯 Data-driven insights offer a window into audience demographics and preferences. Armed with this information, investors can tailor marketing campaigns, exploitation and licensing strategies to reach the right audience at the right time. Whether it's securing placements in films, TV shows, or video games or launching targeted digital marketing campaigns as part of a dedicated release strategy, data ensures that every move is strategic and ROI-driven. 4. Portfolio Diversification 🌐 Data analysis goes beyond individual songs; it encompasses entire music catalogues. Investors can assess the performance of catalogues as a whole over time and diversify their portfolios accordingly, ensuring they make informed decisions not just at certain events but consistently. This intelligent asset allocation minimises risk, opens up trading opportunities and optimises revenue generation. It's about creating a harmonious blend of established classics and rising stars in the music universe. Join the conversation as we explore how data analysis can transform the way we perceive and capitalise on music assets.💡 #MusicCatalogue #DataAnalysis #AssetProjections #InvestmentOpportunity #MusicTech 🚀

🎶The Potential of Predictive Analytics in the Music Industry🚀📈 Ever wondered how technology could transform the way we value music assets? 🤔 Predictive analytics, a powerful tool in the tech arsenal, might just be changing the game. 📊 Predictive analytics involves crunching vast amounts of data, not just historical but also real-time market trends, consumer behaviours, contractual implications and growth patterns, to forecast future trends and behaviours. 📈 When applied to the music industry, it means we can anticipate the value of music assets with unprecedented precision. 🎵 Picture having insights at your fingertips, aiding artists, investors, and potentially opening up the space for other market participants to make informed, data-driven decisions. 📆 Whether it's predicting the potential of a new song, factoring in current market trends, or projecting revenue streams for an entire music catalogue by scrutinising consumer preferences, technology is set to redefine how we navigate the intricacies of this industry. 🌐 What an exciting time to be part of the music world! #PredictiveAnalytics #MusicTech #DataDriven #MusicIndustry #TechTransformation

As a follow-up from Tuesday 1st July’s post on musicians and their data value, let’s talk about how music data can be valuable for musicians and businesses associated with music, and how Data Valuation Partners considers these use cases. One of the most common uses for music data is recommendation systems. Recommendation systems have greatly developed over time in terms of the techniques used, knowledge of the human psyche and how we interpret information, and, of course, the data available. Consumer data, musician data and other associated attributes including geography, time of year, and even time of day are used to create systems that allow users to discover new music, rediscover music to their taste and even recommend songs outside of the user’s usual taste that the user may be interested in. Recommendation systems are one of the key components that streaming services use to enhance customer experiences, and data is at the forefront of this, thus, the data is extremely valuable. Another use for data in the music industry is a lot more basic, but just as important, chart statistics. Music is often ranked in charts, in terms of sales and popularity. Although most of these statistics are simple, their importance cannot be ignored. Most consumers of popular music will use charts to determine the music that they may be interested in, and businesses also use charted music to determine what songs to use for advertisements. Charts, unlike recommendation systems, have been around for a long time, but similarly to recommendation systems, chart statistics are heavily data-driven, therefore, the data is valuable. Lastly, music data can be used by record companies and management teams to help artists predict when to release music. Music, like other art forms, are seasonal and influenced by the consumer of the art alongside the artists themselves. As analytics becomes more accessible to those outside of technology, teams and labels can now utilise data alongside intuition and industry knowledge to make great decisions. At Data Valuation Partners, we consider these use cases and many more when valuing data. #datavalue #music #recommendationsystems