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For Brand Teams

Stop Guessing Which Creatives Win

AI that analyzes 10,000+ ads to predict creative winners before you spend.

10,000+ ad pattern analysisPredict winners pre-spendReal-time fatigue detection

Creative Testing is Expensive Gambling

You're spending to learn what works. But without pattern intelligence, every new creative round starts from zero.

$200K spent, 3 winners found

Most brands test 30-50 creatives to find 3 that work. Without pattern data, every test is a coin flip.

~6%avg creative win rate

Ad fatigue catches you late

CTR drops 40% before anyone notices. By the weekly review, the creative is burned and budget wasted.

3-5 daysavg fatigue detection delay

No data on WHY creatives win

You know which ad performed. But was it the hook, the CTA, the color, the format? Without pattern analysis, learnings stay vague.

~0creative pattern learnings retained

Platform-specific blind spots

What works on Meta fails on TikTok. Creative teams fly blind without cross-platform creative performance data.

40-60%creative performance variance across platforms
Your Creative Intelligence Stack

Four Agents for Smarter Creative Decisions

AI that learns what resonates with your audience. Predictions improve weekly.

Olivia

Creative Intelligence

Analyzes 10,000+ ads to find winning patterns. Predicts which hooks, CTAs, and formats convert for YOUR audience.

Pattern analysis across hooks, CTAs, visuals, formats
Creative performance prediction before spend
Cross-platform creative insights (Meta, Google, TikTok)
Variation suggestions based on proven winners
Compound learning: Olivia identifies that UGC-style hooks with problem-first framing convert 2.3x better for your audience. Before you spend a dollar testing.

Dex

Delivery & Fatigue Alerts

Monitors creative performance in real-time. Flags fatigue, frequency issues, and CPA spikes before they compound.

Real-time creative fatigue detection
CTR, frequency, and CPA monitoring per creative
Automated alerts to Slack or email
Weekly creative performance digests
Compound learning: Catches fatigue 3-5 days earlier than weekly reviews. At $5K/day ad spend, that's $15-25K saved per burned creative.

Parker

Creative Attribution

Which creatives actually drive incremental revenue vs. ones that just get clicks? Parker shows true creative ROI.

Incremental ROAS per creative asset
De-biased creative performance attribution
Identifies winning creatives vs. halo effect
Platform-specific creative ROI breakdown
Compound learning: Your top-performing creative by clicks may not be your top performer by actual revenue. Parker shows the difference.

Maya

Creative Memory

Remembers every creative test, result, and learning. Never starts from zero on new briefs.

Full history of every creative test and result
Recalls what worked in similar campaigns
Connects seasonal and audience patterns
Builds cumulative creative knowledge base
Compound learning: New brief for summer campaign? Maya recalls: 'Last summer, outdoor lifestyle imagery with warm tones outperformed product-only by 1.8x.'

Brand teams also benefit from Felix (forecasting), Sam (scenario planning), and Dana (unified data) - meet all 7 agents

Your Creative Process, Transformed

What changes when AI learns your audience's creative preferences.

Creative Testing
Before

Test 50 creatives blind. 3 work. $200K to find them.

After

Olivia predicts winners pre-spend. Test 50, launch 15 likely winners.

Ad Fatigue
Before

Catch burned creatives at the weekly review. $15-25K wasted.

After

Dex alerts in real-time. Swap creatives before performance drops.

Creative ROI
Before

Click-based metrics. Top clicker isn't always top converter.

After

Parker shows incremental revenue per creative. Real creative ROI.

New Briefs
Before

Start from scratch every campaign. No pattern data.

After

Maya recalls what worked: hooks, formats, audiences, seasons.

Cross-Platform
Before

Separate creative strategies per platform. No shared learning.

After

Olivia maps patterns across Meta, Google, TikTok. Unified insights.

Creative Metrics That Matter

10,000+
Ads analyzed for patterns
Growing with every campaign
2-3x
Higher creative win rate
Pattern-informed vs. blind testing
3-5 days
Earlier fatigue detection
Real-time vs. weekly review
60-70%
Less wasted creative spend
Pre-spend prediction vs. test-everything

Frequently Asked Questions

Olivia analyzes 10,000+ ads to identify which hooks, CTAs, visuals, and formats convert for your audience. Patterns emerge from your historical data plus category-wide performance signals.

Yes. Based on learned patterns, Olivia scores new creative concepts by likelihood of success. Not 100% accurate, but significantly better than blind testing.

Dex monitors CTR, frequency, and CPA per creative in real-time. When metrics start declining, you get alerts 3-5 days before a weekly review would catch it.

Yes. Cross-platform creative analysis shows which patterns work everywhere vs. platform-specific. Helps teams allocate creative resources efficiently.

Every ad you run adds signal. Within 60-90 days, Olivia's predictions for your audience become significantly more accurate than industry-wide benchmarks.

See It Learn Your Brand

30-min demo with your data. Live.

Connects in 5 min
First insights in 24 hrs
78% → 91% accuracy