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Dopa has been discontinued. The code is now open source.View on GitHub

Pre-spend creative intelligence
for marketing teams

Upload an ad, predict its average click-through rate, and inspect the cortical response modeled by TRIBE v2.

A new species of campaign tool. Purpose-built for marketing teams with AI workflows at its core, Dopa predicts average CTR from modeled cortical response — then puts the evidence in context.

FIG 0.2
Cortical response7.2s peak

TRIBE v2 brain

Meta’s neural encoder predicts an average-subject cortical response to your ad’s video frames.

FIG 0.3
dopa-modelCTR
2.84%
Predicted average click-through
Hook
↑
Product
↑
CTA
→

Metric prediction

dopa-model maps those cortical features to one predicted average click-through rate.

FIG 0.4
Workspace
BusinessImported
Competitors3 tracked
KeywordsIntent
Google AdsLive

Campaign context

Keep products, AI-assisted competitor research, keyword ideas, and Google Ads ops in one workspace.

1.0Business

Extract brand intent and audience personas in 30 seconds

Paste your website — Dopa auto-imports brand highlights, target audience, voice, and price positioning so every score starts from the right brief.

Import fromhttps://northstar.exampleAuto-imported
N
Northstar Apparel
northstar.example · DTC apparel
From website
Target audience

25–40 urban professionals who buy elevated basics and respond to founder-led UGC.

Brand voice
ConfidentWarmMinimalPlayful
Price positioning
ValueMid-marketPremium
Brand defaults
Industry · ApparelGoal · ProspectingTone · ConfidentRange · $48–$120
1.1Website import+1.2Audience personas+1.3Voice chips+1.4Price positioning+
2.0Competitors

Monitor competitor ad angles and creative hooks

Watchlist cards with hook teardowns, threat scores, and counter-positioning angles — evidence before you react.

Rival Labs

rivallabs.com

86

threat

Confidence

92%

Horizon

Now

Ad hook

Price-slash montage · soft CTA

Counter-angle

Lead with fabric proof, not discount

Atlas Wear

atlaswear.co

71

threat

Confidence

78%

Horizon

6 mo

Ad hook

Founder unbox · 6s punch-in

Counter-angle

Match pace; own the tactile close-up

Cove Supply

covesupply.com

58

threat

Confidence

64%

Horizon

12 mo

Ad hook

Lifestyle montage · muted VO

Counter-angle

Counter with sharper product focus

2.1Watchlist+2.2Hook teardown+2.3Threat scores+2.4Counter-angles+
3.0Products

Organize product offers and visual creative hooks

Active offer cards that link value props, price points, and visual storyboard hooks in one catalog.

ProductPriceHooks
Summit Tee
Heavyweight cotton · boxy fit
$58
Fabric close-upFit flipStreet cutaway
Trail Overshirt
Waxed canvas · seasonless layer
$128
Weather testLayer stackDetail macro
Core Sock 3-Pack
Merino blend · everyday rotation
$32
Unpack ASMRColor gridWear day 7
3.1Offer catalog+3.2Value props+3.3Price points+3.4Storyboard hooks+
4.0Keywords

Align visual creatives with high-intent audience queries

A search intent matrix that matches buyer queries with predicted ad CTR — so hooks and headlines share the same language.

BrandProductScope · Summit Tee
QueryVolumeCPCPred. CTR
heavyweight tee men14.8k$1.403.1%
boxy fit t-shirt9.2k$1.152.8%
organic cotton basics6.4k$0.952.4%
premium everyday tee4.1k$1.703.4%
founder brand apparel2.7k$1.252.9%
4.1Intent matrix+4.2Buyer queries+4.3Predicted CTR+4.4Headline align+
5.0Brain

Predict CTR from human fMRI cortical visual response

Frame-by-frame cortical heatmap timeline, parcel activation preview, and dopa-model CTR scorecard — the core review surface.

5.1Cortical heatmap+5.2fMRI visual encoding+5.3Hemodynamic lag+5.4Predicted CTR+

Built for evidence-led creative review

Pre-spend review

Use a model estimate and cortical playback as additional evidence before committing campaign budget.

Campaign context

Keep business profiles, products, keyword ideas, and competitor research organized by workspace.

Closed-loop ops

Compare predicted vs live CTR and review auto-pause alerts without leaving the same workspace.

Predictions are estimates for review, not guarantees of live campaign performance.

Dopa is discontinued.
The code is open source.

We are no longer actively developing Dopa. The full source is available on GitHub for anyone who wants to read it, run it, or build on it.