How StripScore Actually Works
Not what the term means — how the number itself moves. Here's a practical breakdown of the signals that build StripScore, how fast they decay, and where models waste effort chasing things that don't actually move it.
The Signals That Actually Build StripScore
Stripchat doesn't publish an exact formula, but the behavior of the Popular category over time makes the inputs fairly clear. None of these work in isolation — StripScore is a rolling composite, recalculated continuously while you're live.
Concurrent viewer count
The most visible input, but also the most heavily weighted toward sustained numbers rather than peaks. A room that holds 40 viewers for an hour outperforms a room that spikes to 150 for two minutes and drops to 10.
Watch time / retention
How long each viewer actually stays matters more than how many click in. High click-through with fast drop-off (common with bot or low-intent traffic) reads as a negative signal, not a neutral one — it tells the algorithm your room doesn't retain the audience it was shown to.
Chat activity
Messages, reactions, and general chat pace signal an engaged room versus a passively watched one. Rooms that prompt conversation — asking questions, responding to usernames, running polls — generate more of this signal per viewer than silent streams.
Tips and goal completions
Direct monetization events carry real weight, since they're the platform's strongest proxy for "this room is delivering value." Frequent smaller tips throughout a stream tend to sustain the score better than one large tip followed by a quiet stretch.
Follows gained while live
New follows during an active session are treated as a stronger signal than your total follower count — the algorithm cares more about "is this room converting viewers right now" than a static number from months ago.
Streaming consistency
Rooms that go live on a predictable schedule build a baseline the algorithm trusts, which shows up as steadier placement even on average sessions. Irregular streamers see more volatile ranking swings session to session, even at similar performance levels.
How Fast StripScore Decays
StripScore is not a bank balance — it doesn't accumulate and hold. It's closer to a rolling average that decays quickly once a stream ends and continues decaying the longer you're offline. A huge session three days ago has essentially zero influence on your placement today. This is why one exceptional stream doesn't "carry" you — consistency beats occasional peaks because the score is always measuring recent, not lifetime, performance.
StripScore vs. the "New Model" Boost
New accounts get placement in the separate "New Models" category for roughly their first 14 days, which is a distinct visibility mechanism, not a StripScore multiplier. It's a guaranteed placement window, independent of how strong your organic score is yet. Once that window closes, you're ranked purely on the signals above, competing in the general Popular pool. Models who build strong session habits during the New Model window tend to see the smoothest transition, since consistency and retention habits carry over even though the guaranteed placement doesn't.
See the full day-by-day breakdown in our first 14 days guide →
What Doesn't Move It (Even Though It Feels Like It Should)
MYTH
Stacking more tags gets you seen by more categories, which raises your score.
REALITY
Tags affect discoverability, not the score itself. Irrelevant tags can actually hurt retention when the wrong viewers click in and leave fast.
MYTH
Buying viewers or using a "traffic boost" bot raises StripScore.
REALITY
Bot traffic produces near-zero watch time and no chat/tip activity, which drags the retention signal down. See our full review of these services →
MYTH
Streaming longer hours always means a higher score.
REALITY
Long low-engagement stretches drag the average down. A focused 2-hour session with real interaction outperforms 6 quiet hours.
A Practical Checklist
Session habits that actually move StripScore
- Stream at the same times most days — predictability builds baseline trust
- Open with direct engagement (greet by name, ask a question) in the first minutes
- Run small, frequent goals instead of one distant big goal
- Prioritize retaining current viewers over chasing new clicks
- Don't pad session length past the point of real engagement
- Don't use bought traffic or bot viewers to fake a spike
Trending right now
The promotion service our clients ask about most this month.
We build the session habits that move your ranking
Scheduling, engagement pacing, goal structure — the same signals covered here, run consistently instead of guessed at.
FAQ
Not to a hard zero, but it decays heavily the longer you're offline, so a long gap functions close to a reset in practice.
No — the New Model window is a separate, time-limited placement guarantee. StripScore is the ongoing organic score that takes over once that window ends.
It helps that session's placement, but because the score decays quickly, it won't carry forward much past a day or two. Consistency matters more than any single peak.