How Dyut Improved Meta Ads ROAS by 23% With AI-Driven Meta Ads Best Practices

🧭 Macro Overview

When the co-founder of Dyut reached out to AdAmigo.ai, he was already running a healthy level of Meta ad spend himself. But between scaling the business and handling multiple roles, his biggest pain points were time and missed opportunity. He knew the account wasn’t being managed with consistent best practices — and felt budget was being burned due to lack of regular optimizations.

That’s where AdAmigo.ai stepped in.

🧠 About the Business

Dyut.eu is a premium skincare brand offering high-quality, all-natural products tailored to modern wellness-conscious consumers. Their growth depended on profitable customer acquisition through Meta ads — but doing that manually was becoming unsustainable.

🎯 Goals

• Improve overall return on ad spend (ROAS)

• Inject performance marketing best practices into the ad account

• Free up internal resources by automating account management

📅 Timeline of Events

📈 Performance Uplift Summary

Before vs. After Comparison Period:
25.09.2024 – 25.10.2024

💡 Significant performance lift — purchases grew nearly twice as fast as spend, showing real efficiency gains driven by automation and daily best-practice actions.

⚙️ AI-Powered Actions Executed (25.09 – 25.10)

🕒 That’s over two full workdays saved — and redeployed into high-leverage business-building tasks.

🔧 Tools Used

• ✅ AI Recommendation Agent (started semi-autopilot, then switched to full autopilot)

• ✅ AI Chat Agent (used for ad duplication and optimization via chat prompts)

• ✅ Bulk Ad Launcher (used for rapid deployment of single image and video ads)

• ❌ No use of AI Comment Manager yet (it was not available back then)

• ❌ No use of AI Ad Creation yet (it was not available back then)

🛠️ Operational Transformation

Before AdAmigo.ai:
The co-founder was personally managing campaigns — deeply involved but spread thin. This hands-on approach was time-consuming, and left the account missing daily optimizations and testing needed to improve performance.

After Onboarding:
Meta ads were handed off entirely to AdAmigo.ai’s autopilot system. The co-founder now focuses on strategic growth while trusting the AI to handle scaling, optimization, and testing — without needing manual intervention.

✅ Outcomes

• ROAS improved by over 23%

• Purchases increased by nearly 68%

• Cost per add-to-cart dropped by 13%

• Ad spend scaled by 36%, with stronger efficiency

• More than 160 optimization actions completed by AI

• Over 18 hours of manual work saved in 30 days

• Shift from reactive campaign management to proactive AI-driven optimization

💬 Client Testimonial

"This is the future of media buying."

“It’s incredibly refreshing to be able to launch a campaign through AI prompts.
The AI recommendations go beyond simply suggesting actions — they provide valuable insights and justifications. This not only improves my results but also deepens my understanding of campaign optimization.”

— Shubham - Co-Founder, Dyut.eu

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🔎 Why Our Case Studies Are Different

• We show percentage performance changes only to respect client privacy

• We include spend behavior to ensure uplifts aren’t the result of cutting spend

• We use fixed timeframes for transparency — no cherry-picking data

• We highlight only bottom-line KPIs — not vanity metrics

• We calculate time savings using stopwatch benchmarks from senior media buyers
  
  

⏱ Time Benchmark Methodology

Time saved is based on stopwatch timing of two senior media buyers from our team:

🧠 Beginners typically need 2–3x longer.