Tiktok Algorithm Updates: New Rules for Gaining Views and Reach
By Sophia Al-Mansoor
Building sustainable reach requires adjusting publishing rhythms and tracking deeper audience engagement rate signals. The traditional advice regarding optimal posting times has flattened out. Because the platform tests videos across distinct geographic cohorts based on topic rather than pure upload recency, the exact minute of posting matters far less than target audience availability over an eight-hour evaluation window.
Traditional Vanity Model:
Views = Likes + Generic Comments
Active Ranking Model:
Velocity Score = (Total Watch Seconds × 0.40) + (Saves × 0.25) + (External Shares × 0.25) + (Discussion Depth × 0.10)
Direct user interaction metrics carry unequal weight in feed scoring. Casual likes provide negligible distribution lift. Conversely, bookmarks (saves) and direct shares via messaging apps send powerful algorithmic signals, indicating the viewer found the material useful or funny enough to share privately.
To maximize engagement velocity, successful creators prompt meaningful discussions rather than asking for passive likes. Asking specific, polarizing questions about a clear scenario prompts long-form comments. The algorithm measures total time spent inside the comment tray as active dwell time, further reinforcing the video's distribution strength.
Sophia analyzes international trade, startup ecosystems, retail transformation, and supply chain logistics for modern digital publications.
