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Sensia Visual / Visual visibility

MVV: what the eye sees first.

The Visual Visibility Model measures how well an image wins attention, grounded in published academic research.

What it looks at

What informs and what attracts.

MVV evaluates the image along two paths: how much information it conveys and how appealing it is. Both combine into a single figure.

01
What does it communicate?Whether the image tells what the piece is about at a glance.
02
What competes for attention?How many elements ask for the eye at once.
03
Who does your audience recognize?The weight of a figure known in your niche.
04
How does it look?Color, light and image quality, measured directly from the piece.
How to read it

A 0–100 score, comparable within your account.

01

One number

The higher it is, the better positioned the image is to win attention.

02

Your percentile

Each new piece is compared with your history: you see which percentile it lands in.

03

Format-aware reading

A review, a reaction or a ranking are each read in their own context.

A published model, not an opinion

MVV is grounded in academic research on the relationship between a thumbnail and a video's views (Koh & Cui, 2022). The 0–100 scale and how it's read are Sensia's own. It was formerly called the ELM Score.

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Sensia / Intelligence with emotion

From data to emotion.

Send your next thumbnail, post or Reel. In 48 hours you know how your audience feels and what to change first.