AI Creative Insights by Decode
Strong signalPredict which ad wins before you spend on media
Launched 1d ago
Signal
68
Velocity
0
What this means
+70%Launching in a 70% WoW growing category.
Artificial Intelligence had 578 launches this week vs 341 last.
17Founder Conviction Index: 17 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
24%
today
Projected end-of-day votes
109range 82–147
Trajectory
stable
Vote pace holding steady.
Speed vs peers
1.3×
4 Marketing launches
About
Upload any ad, banner, OOH, or video creative and AI Creative Insights predicts how people will respond before your media budget goes live. Get attention heatmaps showing where eyes land first, second-by-second emotion curves, and prescriptive suggestions on what to change and why. Benchmark against category norms, compare variants side by side, and use Synthetic Audience to see predictions persona by persona. Built by Entropik, the team behind Decode.
AI Summary
AI Creative Insights by Decode uses artificial intelligence to predict audience responses to various ad formats before media spending. It provides attention heatmaps, emotion curves, and actionable recommendations, allowing for benchmarking and persona-specific predictions.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement17
Discussion per unit of attention
Editorial read
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
InvestigateRanks high on little evidence. Worth a look, but verify before committing.
285/8
Surprising
Describes itself in terms almost no other launch uses: "Predict which ad wins before you spend on media"
Timeliness5%100
carried 7%
Novelty15%75
carried 20%
Story20%68
carried 27%
Trend20%50
carried 27%
Business15%9
carried 20%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
measuredmeasured, zeronot measured
Full audit →Signal sources
3 of 6 active- Launch tracking6 readings since we picked it up
- AI analysisMarketing
- Comment intelligencethread not yet analysed
- Outside discussionnot checked — domain is a storefront or shared
- Revenue signalsno match on this domain
- Editorial scoring23% evidence coverage
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.
