Segment scoring · Thumbnail prediction · Pre-publish

Know which 8 seconds killed your video — before it goes live

Fanlytiq scores every segment of your video for engagement risk and thumbnail effectiveness, before you publish. Stop guessing after the algorithm buries it.

94%

drop-off prediction accuracy on 8-second segments

+23%

avg. increase in completion rate for clients who act on pre-publish scores

2,400+

videos analyzed by Fanlytiq teams

You find out a video failed 72 hours after upload. The algorithm already buried it.

  • Platform analytics show per-video averages — you can't see which segment caused the drop.
  • Thumbnail decisions happen by gut feel, not audience signal.
  • By the time the data comes in, your window to recover is already closed.

Upload a draft. Get the drop-off map before you publish.

Three steps between "draft ready" and "know exactly what to fix."

1 Upload or connect your video before publishing

Drag in a draft file or connect your YouTube channel via OAuth. Works with long-form, Shorts, Reels, and TikTok — format matters, so Fanlytiq knows which physics apply.

2 Fanlytiq scores every 8-second segment

The model scores engagement risk at the segment level and predicts thumbnail performance against your specific audience segment — not platform-wide averages.

3 See the drop-off map and the fix

Your team sees exactly which segment to cut or restructure and which thumbnail variant wins — before the algorithm sees the video. Act before the window closes.

See exactly where your audience decides to leave

Platform analytics give you a single completion percentage. Fanlytiq maps the exact 8-second segments where viewers drop. The prediction model is trained on format-specific audience behavior — long-form YouTube, short-form social, and streaming series each have different drop-off physics.

Test 3 thumbnail variants before the video goes live

Fanlytiq ranks variants by predicted click-through for your specific subscriber segment — not platform averages. No waiting for the algorithm to split your traffic.

The model uses text-title contrast, face placement signal, emotional register, and color saturation relative to competitor thumbnails in your content category.

From re-edit cycle to pre-publish decision

"We cut our average re-edit cycle from 3 days to 4 hours. Fanlytiq tells us exactly which segment to fix and why — it's not another analytics dashboard, it's an action list."

Jordan Eke Head of Video, Wavemark Studios

"The thumbnail predictor was the first thing that made our creative team and our analytics team agree on a workflow. We all see the same predicted CTR — no more guesswork calls."

Camille Obi Content Strategy Lead, Nexlode Media

Your next video doesn't need to fail before you learn from it.

No credit card required. Analyze your first 3 videos free.