AD CREATION
Creatives that know what wins.
Every creative starts with the whole loop: winning competitor angles, your audience's real words, your own performance. Then it gets checked against a predicted attention heatmap before it ever goes live. From data to launch-ready asset, in every format. No blank page, no gut feel.
How it works
Starts with the whole loop, not a blank prompt
Each concept is assembled from ordered context blocks: winning competitor angles, real customer quotes tagged by awareness stage, your own performance scores, fatigue flags, brand voice and your actual funnel structure. The model starts with the market, not an empty canvas.
Three native creative types, not one generator with filters
Static is AI-rendered and launch-ready. UGC is built hook-first with beat architecture matched to length. It sounds like a person on their phone, not a marketer. Motion arrives as storyboards with kinetic typography and real direct-response craft.
Built native to the format, never cropped
1:1, 4:5, 9:16 and 16:9. Each creative is composed for its target placement, not cut down from one master. A six-slot template system composites background, headline, proof and CTA into finished creative across every ratio.
Attention tested before you spend
Every creative is scored by DeepGazeIIE, a neural saliency model trained on human eye-tracking data that predicts where the eye lands first. A per-pixel heatmap shows whether your hook and CTA pull the gaze or get lost in the background: predicted attention, before a single euro of media spend.
Every concept judged by the legends
Each draft runs through an automatic critic that scores the copy against the distilled principles of six direct-response legends (Hopkins, Kennedy, Halbert, Sugarman, Bly and Make Your Words Sell), pass or fail per principle, with the exact line quoted. It knows your proven hooks and avoid-rules, so it checks discipline, not just polish.
A loop that gets smarter each round
Variants come from swapping individual context blocks, not random re-rolls. Exploration mode physically removes proven-pattern blocks so the model hunts genuine new territory, while fatigue and brand-voice rules stay locked. Thompson sampling balances explore against exploit. Winners become templates, losers become lessons.
THE DIFFERENTIATOR
See where the eye goes before you pay for it.
Most tools tell you what worked after the spend report lands. Adscalr predicts attention before launch, using DeepGazeIIE, a neural saliency model trained on human eye-tracking data. Not tracking of your users; a prediction of where real people look first.
Attention heatmap
A per-pixel density map laid over the creative, instantly showing whether the gaze hits your hook and CTA or burns on the background. Computed without center-bias, so it reflects what the image pulls, not what the model expects.
Scan-path prediction
Models the order of fixations: first look, second look, third, with winner-take-all and inhibition-of-return. You see the reading route before a single euro flows.
Region scoring and focus-entropy
Splits the frame into zones and measures how much attention each one earns, plus an entropy score: is attention focused on one anchor or scattered with none? Wasted space becomes measurable.
What you get
- 4 concept variations per brief
- 3 native creative types: static, UGC and motion
- 4 formats built per placement (1:1, 4:5, 9:16, 16:9), composed, not cropped
- Neural attention heatmap + scan-path prediction per creative (DeepGazeIIE)
- Region scoring: third-zones, hotspot count and focus-entropy
- Copy critiqued against 6 direct-response legends, every concept
- Exploration mode that physically clears proven-pattern blocks
- Thompson-sampling winner selection across variants
- Multilingual localization, brand and product names kept verbatim
- Draft → review → approve: nothing ships without a human
By the numbers
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