There is no single algorithm, but there are consistent signals. These are the ones you can move.
Short answer
Live recommendation systems mainly evaluate how long viewers stay, how much they interact, and whether people who see the stream choose to click it — which is why engagement per viewer matters far more than raw viewer count for small channels.
The three signals that matter most
Every live platform assesses a broadcast continuously rather than judging it once. Three signals dominate.
- Retention — how long the average viewer stays after arriving
- Interaction — messages, reactions and participation per viewer
- Click-through — whether people shown the stream actually enter it
Why ratios beat totals for small channels
A channel with twelve viewers cannot win on volume, but it can win on ratio. Systems compare your engagement against streams of similar size, so a small, busy room outperforms a small, silent one.
This is also why bought viewers are self-defeating: they raise the denominator of every ratio you are judged on.
Adding viewers who never chat and never stay makes every ratio worse. That is the mechanism by which purchased engagement suppresses reach.
The first fifteen minutes matter disproportionately
Early performance shapes how widely the stream is subsequently shown. A slow start is difficult to recover from within the same broadcast.
What you can actually control
Ignore what you cannot influence and focus on the levers that exist.
- The first thirty seconds of your broadcast
- How often you prompt interaction
- Whether there is always something unresolved on screen
- Title and thumbnail clarity
- Schedule consistency, which drives returning viewers
What does not work
Purchased engagement, tag stuffing, misleading titles and constant format changes all reliably underperform, and the first two carry enforcement risk.