In this Season 3 episode, we unpack a sudden and dramatic TikTok performance drop — from consistent 10,000 views per video to barely 300. What causes this kind of shift, and is it algorithmic punishment or something more structural?

Emily explains how TikTok evaluates content in performance cycles rather than account history alone. She explores how shifts in retention rates, engagement velocity, audience behavior, and content positioning can quickly change distribution outcomes. Even accounts that previously performed well can experience resets if new uploads fail to meet evolving benchmark thresholds.

This episode also addresses the myth of “shadowbanning” and clarifies how platform recalibration, niche drift, and audience fatigue may contribute to sudden view declines. Season 3 allows for a grounded comparison of visibility patterns, including why some creators explore stabilization tools during volatility — though long-term reach still depends on watch time and audience alignment.

If your views have dropped sharply, this episode focuses on diagnosing the root cause instead of reacting emotionally. Understanding distribution mechanics is the first step toward rebuilding momentum.

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