Creative agency / Case study
Vulture Studios
More room for craft. More creative in market.
- Improvement in Client Ad Performance
- 156%
- Faster Content Production
- 75%
- Client Output Capacity
- 4x
- New Creative Variations/Week
- 23
The business
When the Creative Agency Let AI Handle the Creative
How a production studio 4x'd their client output while actually improving performance metrics.
Vulture Studios is a creative production agency specializing in high-end video content for DTC brands, helping them stand out in crowded digital channels.
01 / The challenge
The Creative Bottleneck Problem
Aaron's studio was known for premium work, but premium work took time. Clients wanted more content, faster. And the team was already stretched thin.
- Production timeline of 2-3 weeks per ad set limiting client capacity
- Clients churning because they needed more iterations than the team could deliver
- Creative team burning out from constant revision requests
- No way to test which creative approaches worked before investing production time
- Lost pitches to cheaper agencies promising faster turnaround
02 / The approach
The AI Creative Partner
Vulture Studios didn't replace their creative team. They augmented it. GaaS became their rapid-iteration layer, generating test variations while the team focused on hero content.
Strategy: AI as First Draft
For each client, GaaS generated initial creative directions based on brand analysis. The team reviewed, refined, and elevated the best concepts.
Execution: Variation at Scale
Once a creative direction was approved, the AI generated 20-30 variations for testing: different hooks, CTAs, formats. In hours instead of weeks.
Optimization: Data-Driven Refinement
Real performance data flowed back to inform the next round. Clients got creative that was both beautiful AND effective.
03 / The results
Creative That Actually Performs
The results weren't just about speed. Clients saw meaningful improvements in their actual advertising performance. The metric that matters.
| The metric | Before | After GaaS |
|---|---|---|
| Production Time | 2-3 weeks | 3-5 days |
| Variations Per Campaign | 3-5 | 20-30 |
| Client Capacity | 6 clients | 24 clients |
| Avg. Client ROAS Improvement | Baseline | +156% |
| Creative Team Overtime | 15+ hrs/week | ~0 |
04 / The timeline
How it came together.
- Week 1
Pilot Client Selected
Started with one DTC client to prove the model before rolling out.
- Week 2
First AI Variations
23 ad variations generated from one approved concept. Tested across Meta.
- Week 4
Performance Data In
Clear winners emerged. Client ROAS up 47% vs. previous campaign.
- Week 6
Workflow Integrated
Team established hybrid workflow: AI variations + human refinement.
- Week 12
Full Rollout
All clients on the new model. Capacity 4x'd. Overtime eliminated.
It just worked. We got better ads and clearer data in days. I was skeptical. We're a creative shop, we don't just let AI make stuff. But once I saw the test results, I got it. The AI handles iteration speed, we handle craft. Best of both worlds.
Aaron reflected on this during a podcast interview, discussing how AI changed his agency's business model.
Over to you
Ready to Scale Your Creative Output?
Whether you're an agency or a brand, GaaS can help you produce and test more creative, faster. While improving actual performance.