Nigerian Afrobeats star, Kizz Daniel, has offered a piece of advice to his fellow musicians, urging them to disregard the pressures of social media popularity and focus instead on honing their craft. In a recent post on X (formerly Twitter), the *Buga* hitmaker shared his thoughts on the transient nature of chasing viral success on social media platforms. He suggested that musicians should prioritize creating meaningful music over seeking clout or a number-one spot on the charts, as genuine growth in the industry comes from talent and consistent work, rather than social media trends.
Kizz Daniel further pointed out the example of Grammy Award-winning artist Killer Mike, who, despite his success, has not relied on social media hype. In his post, Kizz Daniel remarked that Killer Mike, who has won four Grammys, is an example of an artist whose career wasn't dependent on viral moments or the shifting social media algorithms. This, he argued, should be a reminder that lasting success in the music industry isn’t dictated by the fluctuating numbers seen on streaming platforms, but by the quality of the music and the artist's craft. He also expressed skepticism about the authenticity of social media metrics, stating that many of the top-charting songs' numbers don’t align across all platforms, which underscores the importance of focusing on substance over surface-level success.
By advising his colleagues to "leave social media algorithms" behind, Kizz Daniel is promoting a message of authenticity and consistency. The musician believes that the current trend of obsessing over viral hits is fleeting and unsustainable. Instead, he advocates for a focus on real artistry, noting that true elevation in the music industry comes from dedication to one’s work, not the chase for viral fame. As someone who has enjoyed considerable success with hits like Cough, No Wahala, and Marhaba, Kizz Daniel’s advice resonates with emerging artists, reminding them that long-term success is built on skill, consistency, and genuine artistry rather than transient trends.
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