Evidence layers
The Evidence Layers Behind a Pre-launch Ad Decision
A verdict is only as good as the evidence under it. These are the layers a pre-launch review stacks before committing to run, fix, or reject.
Direct answer
The evidence layers are attention (heatmap and predicted gaze path), brand visibility, visual complexity, message and CTA clarity, emotion, viewer intent, and competitive similarity.
Each layer answers a different question about the same two seconds of viewing; the verdict weighs them against the campaign's funnel stage and KPI.
Attention: does the right thing get seen?
The heatmap shows where fixations concentrate; the gaze path shows the order. Together they answer the gating question: does the viewer's eye reach the product, the offer, and the brand — or does it exit the frame after admiring the stock photography?
Visual complexity sits alongside attention: a frame with too many competing elements doesn't distribute attention, it forfeits it.
Brand visibility: who gets credit for the impression?
An ad can win attention and still fail commercially if the brand doesn't register. Brand visibility scoring measures whether the mark is present, prominent, and early enough — in video, before the skip point — for the impression to accrue to you rather than to the category.
Emotion and intent: how does the ad read?
Emotion prediction estimates the feeling the creative provokes; intent prediction estimates what the viewer thinks the ad wants from them. The second is where campaigns quietly fail: an ad that reads as brand awareness will not produce demo requests, no matter how well it scores elsewhere. The review flags the mismatch against the stated KPI.
Similarity: has the category already numbed this pattern?
Competitive comparison checks the creative against the visual territory competitors already occupy. High similarity is not automatically fatal — but it raises the required distinctiveness elsewhere, and the report says so explicitly.
Layers, then verdict
No single layer decides. The Decision Report weighs them against the funnel stage and primary KPI recorded in the project's campaign context, then commits: Run, Fix with named repairs, or Reject with the reason. The evidence stays attached, so the decision can be defended in a meeting six weeks later.
FAQ
What does AdVizion analyze?
AdVizion analyzes attention heatmaps, eye movement path, brand visibility, visual complexity, emotion, customer intent, CTA clarity, message clarity, competitor similarity, uniqueness, and video or audio transcripts.
What is a Decision Report?
A Decision Report tells a team whether to run, fix, or reject a creative before launch. It includes the reason, confidence, money risk, top issues, what is working, and the best next action.
What is AdVizion?
AdVizion is the AI creative decision layer for paid media. It helps teams analyze ads before launch and decide what to run, fix, or reject before spending budget.
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