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Analytics on viewership patterns—geographic hotspots, preferred ragas, peak listening times—can inform educators about curricular gaps and guide composers toward styles that resonate most with audiences. Moreover, machine‑learning recommendation engines could surface obscure recordings, ensuring that hidden gems receive deserved exposure.