![]() How to Choose the Perfect Music Analytics ToolĪccording to Synchtank’s Q&A with Entertainment Intelligence founder Grey Delaney, “Entertainment Intelligence is on a mission to provide the music industry with useful and actionable data. Instagram Stories Analytics: The Metrics You Need to Know How to Evaluate the Progress of Your Marketing Campaign In addition, Nielsen is constantly releasing new features and enhancements every six-eight weeks, making it one of the top enterprise tools for top-tier entertainment organizations.īest Analytics Tools for Audience Development Music Connect gives you access to things like, sales, streaming, audience, and social measurement data for the music industry, all in one place. ![]() Let’s dive in… Best Streaming and Sales Analytics for Music Managers and Record Labels Nielsen Music ConnectĪs the staple industry standard for measuring success at the album and track level, Nielsen Music Connect ( Now owned by Valence) provides stream counts, radio spins, and over 25 years of sales data from over 200 U.S. To break it down, this post highlights the best streaming and sales focused analytics platforms for music managers and record labels. How could we not when they’re so important? As we’ve covered in other posts, there are tons of analytics tools for you to choose from, all of them offering different specs. ![]() Other changes would also largely impact the Hot 100 in the future, consisting of radio-only songs being able to chart in 1998, and YouTube views playing part of how a Hot 100 is decided in 2013.We talk about analytics a lot. The first Billboard Hot 100 number-one song via Nielsen SoundScan was " Set Adrift on Memory Bliss" by P.M. The Recording Industry Association of America also tracks sales (or more specifically, shipments minus potential returns) on a long-term basis through the RIAA certification system it has never used either Nielsen SoundScan or the store-calling method. Īt first, some industry executives complained that the new system-which relied on high-tech sales measurement rather than store employee estimates-was based on an inadequate sample, one that favored established and mainstream acts over newcomers. Tower Records, the country's second-largest retail chain, was originally not included in the sample because its stores were equipped with different technology to measure sales. Īlthough most record company executives conceded that the new method was far more accurate than the old, the chart's volatility and its geographical balance initially caused deep concern, before the change and the market shifts it brought about were accepted across the industry. Indeed, while transitioning from the calling to tracking methods, the airplay and sales charts (already monitored by Nielsen) and the Hot 100 (then still using the calling system) often did not match (for instance Paula Abdul's " Promise of a New Day" and Roxette's " Fading Like a Flower" reached much higher Hot 100 peaks than their actual sales and airplay would have allowed them to). and asking about sales-a method that was inherently error-prone and open to outright fraud. Previously, Billboard tracked sales by calling stores across the U.S. The May 25 issue of Billboard published Billboard 200 and Country Album charts based on SoundScan "piece count data," and the first Hot 100 chart to debut with the system was released on November 30, 1991. Nielsen SoundScan began tracking sales data for Nielsen on March 1, 1991. The company operates the analytics platform Music Connect, Broadcast Data Systems (which tracks airplay of music), and Music 360. It is the source of sales information for the Billboard music charts. Established by Mike Fine and Mike Shalett in 1991, data is collected weekly and made available every Sunday (for albums sales) and every Monday (for songs sales) to subscribers, which include record companies, publishing firms, music retailers, independent promoters, film and TV companies, and artist managers. MRC Data (formerly Nielsen SoundScan and Nielsen Music Products) is a provider of music sales data.
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