How to Use Spotify Stream Data for Talent Scouting

Miha Prebil

Jun 7, 2025

In today’s music industry, data-driven decisions are key to success. For music labels, understanding an artist's performance across platforms like Spotify can make or break the decision to sign them. But what exactly makes Spotify streaming metrics so important, and how can music labels effectively use it to find and evaluate artists?

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Spotify streaming insights provides a wealth of insight into how well an artist's music resonates with listeners. For example, Label X used Spotify streaming insights to identify Artist Y, who showed consistent growth in streams over six months, leading to a successful signing and subsequent chart-topping release. For a music label, knowing the number of streams gives a direct indication of an artist's popularity and engagement, while other metrics like followers and listeners tell a more complete story of the artist's audience growth. With accurate and comprehensive data, labels can identify artists with momentum, understand regional popularity, and even predict potential success in new markets.

Why Reliable Spotify Data Matters for Music Labels

The music industry runs on data, but not just any data. It’s the quality and relevance of that data that ultimately drive decisions. For music labels looking to scout new talent, reliable and well-organized data is indispensable. This is where Viberate comes in, offering trustworthy and customizable Spotify analytics that music professionals can rely on.

Viberate’s custom music datasets allow you to select specific criteria relevant to your goals. Whether you're looking for Spotify streaming insights by country, genre, subgenre, or record label, Viberate provides a way to create the precise dataset you need. Instead of sifting through endless sources or dealing with incomplete information, you can generate tailored data exports that fit your label’s criteria, saving time and effort while providing valuable insights.

Customizable Music Datasets with Viberate

At Viberate, we provide an easy way to fully customize your music dataset and export it with just a few clicks. This feature is especially helpful for professionals who need specific data insights without any clutter. Here’s what you can do with Viberate's music datasets:

• Select Specific Criteria: You can customize your dataset by selecting from a range of parameters like Country, Genre, Subgenre, Record Label, and Date Range. This means you can get a granular view of the data that’s most relevant to your artist search or campaign.
• Export in CSV Format: After creating your perfect dataset, you can export it in CSV format. This allows you to analyze it offline or easily share it with your colleagues. CSV files can also be integrated into other tools for deeper analysis, which is crucial for identifying trends or even building predictive models.
• Flexible Analysis for Music Labels: Custom exports mean that whether you’re tracking Spotify followers, YouTube views, or playlist reach, you can analyze and leverage the data in a flexible way that suits your specific requirements.

Viberate Music Datasets for Analysis and Machine Learning

Viberate’s platform doesn’t just stop at customizable datasets—it also provides optimized music datasets that can be used for advanced applications like machine learning. With extensive data available from platforms like Spotify, YouTube, and TikTok, Viberate offers music labels the opportunity to build models that predict artist success, audience growth, or regional traction.

Using these datasets, music labels can explore the underlying relationships between different metrics, making it possible to foresee trends or strategize launches for new artists. For example, a music label interested in gauging the potential of an emerging artist can use Viberate’s Spotify streaming insights—such as streams, listeners, and playlist reach—to understand how well the artist is performing and predict their future trajectory.

Primary Data Included in Viberate’s Spotify Datasets

The Spotify data collections provided by Viberate include a wide range of metrics that allow music labels to evaluate artists in detail:

• Spotify Rank: This is a crucial metric for understanding an artist’s placement on Spotify compared to others, providing insight into overall performance.
• Spotify fanbase: This shows how many people have chosen to follow an artist, giving an indication of their core audience.
• Spotify Listeners: The number of unique listeners is an important indicator of reach and exposure.
• Spotify play counts: This metric counts how many times an artist’s songs have been played, giving insight into engagement and popularity.
• Playlist Reach: This metric tells you the potential audience size reached by playlists featuring the artist’s songs, indicating how well the artist’s music is being promoted on Spotify.

With Viberate, these key data points are all accessible in one place, providing a powerful way for labels to keep track of artist performance, regional interest, and overall growth.

How to Start Using Viberate’s Music Datasets

One of the biggest advantages of using Viberate is how easy it is to start gathering Spotify analytics. To get started, simply use Viberate’s tools to customize the datasets that you need. Select the data points you find most useful, such as Spotify streams or followers, choose the criteria—whether by country, genre, or label—and export your data in just a few clicks. is available for download in CSV format, making it simple to integrate into your existing workflows.

This level of accessibility means that even if you aren’t a data expert, you can still gather the information you need to make data-driven decisions for your label. Whether you’re trying to compare artist performance or predict the next breakout star, Viberate provides the insights you need to move forward confidently.

Final Thoughts

Spotify streaming insights is more than just a number—it’s an essential part of understanding an artist’s journey, their popularity, and their growth potential. For music labels, having access to accurate and customized Spotify analytics can provide a significant edge in discovering new talent and planning artist campaigns effectively.

Viberate makes the process of gathering, analyzing, and using this data simple and intuitive. With customizable music datasets, labels can easily gather the information that matters most to them and use it to make better decisions. From scouting new talent to planning marketing campaigns, the power of Spotify analytics can guide every aspect of your label’s strategy—and with Viberate, you’re always equipped with reliable and actionable insights.

If you're ready to start exploring what Spotify analytics can do for your music label, why not give Viberate a try today? Customize your own music datasets and see how the power of data can transform the way you find and promote artists.