Hearst Newspapers · OpenAI
more than 1,000 — requests handled
Independently reportedMedia & entertainment · Marketing content · LLM · In production
Marketing content
Stilnovo Shoes · AdAmigo.ai
Vendor-reportedRetail & e-commerceItalyIn productionAI agentsLive 2025
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by adamigo.ai (vendor self-report). Checked against the source page on 2026-09-06. 3 of 3 figures below appear on that page word for word.
The problem
Stilnovo Shoes had never run Meta ads before. Hiring an agency felt risky, expensive, and opaque.
What was deployed
- Vendor
- AdAmigo.ai
- Products
- AdAmigo.ai's AI agents, AI Recommendation Agent, AI Chat Agent, Bulk Ad Launch
- Technique
- AI agents
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
ROAS target surpassedin the first 10 days
“+55% ROAS target surpassed in the first 10 days”
Quoted word for word from the source · round percentage, no baseline given
3.1xAdAmigo ROI (Month 1)first month alone
“AdAmigo ROI (Month 1) | 3.1x payback on AdAmigo.ai fee”
Quoted word for word from the source
~7 hourscampaign building and optimization time saved
“Saved ~7 hours of campaign building and optimization time”
Quoted word for word from the source
ROI as stated: 3.1x ROI on AdAmigo.ai’s monthly fee
“We didn’t know where to start with Meta ads. Agencies seemed expensive and hard to trust. With AdAmigo, we felt in control — and got results immediately. The AI handles everything, and the return on investment was clear from week one. We’re incredibly happy we went this route.”
Difficulties and limits
- Stilnovo Shoes had never run Meta ads before
- Hiring an agency felt risky, expensive, and opaque
- Since this was a brand-new Meta ads account, traditional "before and after" analysis didn't apply (no historical baseline to compare against).
Sources
- adamigo.ai — vendor self-report
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