Lore

TikTok's Small-Sample Test-and-Expand Algorithm (Completion & Rewatch Signals)

TikTok distributes every new video by first testing it on a small sample of the creator's existing followers; only if that sample engages well does the video expand to a wider audience. A video that stalls at a few hundred views has failed this initial test and rarely recovers, regardless of the creative's actual quality.

The primary signal used to pass this test rose sharply in 2026 (per Stuart Badley/Optimize Your Marketing): completion rate now needs to be above 70% for a real shot at virality, up from roughly 50% sufficing in 2024. A 15-20% rewatch rate is used as a secondary quality signal.

This reframes a stalled video as a specific, measurable failure (completion rate within the sample-test phase) rather than a vague creative problem — meaning creators may be optimizing the wrong variable. It also explains why posting consistently (3-5x/week) outperforms chasing a single viral hit: each post is another shot at clearing the sample-test bar, and a steady cadence gives the algorithm more data to learn an account's audience.

Apply: edit tightly to maximize completion within the small-sample test phase (treat every unnecessary second as a liability), and don't read a low early view count as proof the idea itself is bad — it may just mean the sample didn't finish watching.