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How Smart A/B Testing Is Powering the Next Generation of Spotify Superfans

An exclusive interview with Shahar Caspi, CEO of Shuffle

Emily Manifold by Emily Manifold
September 21, 2025
in Entertainment
A A
Shahar Caspi. © Gili Benita

Shahar Caspi. © Gili Benita

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When you ask Shahar Caspi what sets Shuffle apart in the crowded world of music marketing, he doesn’t hesitate. “We don’t guess. We test, we learn, and we scale what works,” he says. Caspi, the CEO and founder of Shuffle, leads one of the fastest-growing digital marketing companies in the music industry, quietly running campaigns for globally recognized names like Blond:ish, Arc De Soleil, Noga Erez, Sua Musica, and even Atlantic Records. But unlike many agencies, Shuffle operates behind the scenes without taking credit publicly for the massive impact they’re making.

At the heart of Shuffle’s strategy is their unique A/B testing system which is unlike anything else in the market. Rather than relying on a single creative asset, each campaign involves testing multiple video variations specifically crafted for each artist’s genre, audience, and story. “Every artist is different. What works for a dance track doesn’t work for a soulful ballad. So we test dozens of versions with different pacing, tones, and styles until we see what really connects,” Caspi explains. “Once we find the winning creative we scale it massively and feed it into our larger system.”

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That larger system is Shuffle’s real differentiator. The company has built an internal database of music listeners segmented not just by basic demographics but by deep behavioral data such as real listening habits, genre preferences, and their likelihood to engage. Using that intelligence Shuffle targets users who are far more likely to save a song, follow the artist, and become long-term fans. “We’re targeting what we call high-intent listening grades,” Caspi says. “These are people who don’t just click. They stream. They save. They come back. And when those people engage the Spotify algorithm responds.”

The result is campaigns that don’t just boost stream counts but build long-term momentum. By matching the right creative to the right audience Shuffle helps artists grow algorithmically in a way that lasts. “When we trigger Spotify’s algorithm it’s not by luck,” Caspi explains. “It’s because we’re feeding it quality traffic. Real fans. Real engagement. That’s what keeps your music alive in places like Discover Weekly or Release Radar.”

This data-driven mindset is also paired with a commitment to transparency that’s rare in the industry. “We’re probably the only company that will straight up tell you if your campaign isn’t working,” Caspi says. “There’s no ego here. If something’s underperforming we’ll be honest about it and fix it. Artists need truth. Not sugarcoating.”

Every client that works with Shuffle is also assigned a dedicated professional account manager. This person isn’t just a point of contact but someone who fully understands the brand, the campaign goals, and the evolving data. “We don’t do generic. Every artist deserves a human expert on their side,” Caspi adds.

Looking ahead Caspi reveals that the team is working on something even more powerful. “These days we’re developing a fully automated tool that helps both independent artists and major record labels blow up their artist catalog,” he says. “It’s based on everything we’ve learned from A/B testing and data targeting but now we’re packaging it into a system that can run at scale without requiring constant input from the artist or label.”

Shuffle’s approach is not about chasing virality. It’s about building something sustainable. Through testing content at scale and targeting only the most engaged listeners they’re shaping not just the way campaigns perform but the kind of fans artists attract.

As Caspi puts it “If your music deserves to be heard we’ll make sure it finds the people who will love it. Not once but over and over again.”

Emily Manifold

Emily Manifold

Newsdesk Assistant Editor

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