Breakout Signal

Channel profile · tracked by Breakout Signal

ImagineArt

6,690 subscribers ·publishing in English / Global ·Growth / Monetization, Tutorials / Tools, Short Films & Stories, Gaming / Anime

5tracked breakouts
1.0×best breakout score
59.5×best reach, views per subscriber
1.2Mtotal views tracked
40.9×median reach, tracked videos

Breakout videos

  1. 01

    We Built a Million Dollar AI Fashion Campaign for $129

    💰 Growth / Monetization ·398.2K views · 4.9K/day ·59.5× its audience · 5:26 ·2026-07-05 · English / Global

    1.0×
  2. 02

    Make Hollywood Level Films With AI | ImagineArt Film Studio Complete Guide

    🛠 Tutorials / Tools ·396.8K views · 3.2K/day ·59.0× its audience · 4:51 ·2026-05-23 · English / Global

    0.8×
  3. 03

    The Fold | Official Trailer | Film Studio by ImagineArt

    🎞 Short Films & Stories ·273.3K views · 2.6K/day ·40.9× its audience · 2:59 ·2026-06-11 · English / Global

    0.6×
  4. 04

    We made GTA VI with claude... It looks insane!

    🎮 Gaming / Anime ·136.7K views · 1.8K/day ·20.4× its audience · 6:14 ·2026-07-10 · English / Global

    0.4×
  5. 05

    I Built a Full Marketing Campaign With AI. Here's Exactly How.

    🛠 Tutorials / Tools ·21.1K views · 199/day ·3.2× its audience · 5:16 ·2026-06-11 · English / Global

    0.0×

How to read this channel

ImagineArt is a 6,690-subscriber channel working mainly in Growth / Monetization, Tutorials / Tools, Short Films & Stories, Gaming / Anime, publishing first in English / Global. The radar tracks 5 of its uploads. Its strongest signal (breakout score 1.0× the dataset median) reaches 59.5× the channel's subscriber count and has averaged 4,856 views a day since it was published 82 days ago, on “We Built a Million Dollar AI Fashion Campaign for $129” (398,160 views). That is a lifetime average, not a current rate — one capture per video means this dataset cannot distinguish a video that is still climbing from one that already peaked. The API reports the audio track language as en.

There is one statistic this page deliberately does not print: a per-channel “share of uploads that reached 3×”. Every video on this site cleared that floor before it could be tracked at all, so the figure would read 100% for every channel and would distinguish nothing. What is left instead: 5 tracked uploads pulling 1,226,170 views between them, the strongest reaching 59.5× its audience. Repeated strong reach across several uploads is the part that suggests a format; one outlier is not. The hook patterns the tracker infers from its titles are direct address hook (2), completeness promise hook (1), statement / cold open (1), and the production choices that repeat are no-face format (no host on camera), ai-generated visuals declared in the title, fan-made / concept trailer format, ends on a cliffhanger to farm next-episode views.

What to copy and what to skip: copy the packaging pattern (title structure, the promise made in the first seconds, the episode length that keeps working) and skip the parts that only this channel can do — an existing subscriber base, cross-posting, or a back catalogue that feeds recommendations. Then compare this channel against the others on its category board: same niche, different market, different length. That comparison is where the transferable part usually hides.

Reproducible playbook

Opening hook (title-derived)

Direct address hook · estimated hook window 8s before the main body.

Beat rhythm (Problem → demo → result → CTA)

  • Hook 0%–6%
  • Context 6%–20%
  • Escalation 20%–60%
  • Turn 60%–85%
  • Close 85%–100%

Production choices that repeat

  • No-face format (no host on camera)
  • AI-generated visuals declared in the title
  • Fan-made / concept trailer format
  • Ends on a cliffhanger to farm next-episode views

Derived from the title, duration and market — no frame-level video analysis, and no use of the labels this site writes on an entry.

Compare with

Same niche, market by market

Niche board and neighbouring channels

Snapshot rebuilt 2026-09-25 · 2557 signals · 954 channels. Metrics come from the YouTube Data API v3 and are stored captures, not live counters; ages are recalculated from each video's publish date at build time.