Скачать или смотреть How AI Cut Amazon ACOS from 84% to 21% (DeepBI PPC Case Study)

Is your Amazon PPC campaign bleeding cash? In this case study, we break down exactly how one seller went from an unsustainable 84% ACOS and losing money daily to generating $6K/month in profit—just by changing who (or what) managed the ads.

We reveal how DeepBI’s AI turned a failing "Labubu Doll Clothes" listing into a top performer in just 89 days.

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IN THIS VIDEO:
We track the 89-day journey of "Taylor," an Amazon seller spending 20 hours a week manually fighting high ad costs. See the head-to-head results of Manual Optimization vs. DeepBI AI Automation.

THE RESULTS (89-DAY CASE STUDY):
📉 ACOS: Dropped from 84% → 21%
💰 TACOS: Improved from 80% → 12%
💵 Ad Spend: Reduced by 64%
📈 Total Sales: More than DOUBLED ($2,488 → $6,063)
🚀 Organic Sales: Exploded from $114 → $2,679

WHAT WE COVER:
The "Bleeding Cash" Trap: Why manual optimization fails in 2025.
The 3 Hidden Problems: Why optimizing "blind" kills profitability.
The AI Fix: How DeepBI handles negative keywords, penny-perfect bid adjustments, and budget reallocation faster than any human can.
The Time Equation: What would you do with 700 extra hours a year?

If you are spending 10+ hours a week on PPC, you are losing the game to sellers who have systematized. Watch to see how to fix it.

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