I Gave ChatGPT $200 to Run My Amazon Ads (Bad Idea?)
Автор: PPC Farm
Загружено: 2025-07-02
Просмотров: 171
Can AI beat human expertise in Amazon PPC? I ran a head-to-head experiment comparing ChatGPT-driven campaigns against proven human strategies. After 7 days and $180 spent, the results will shock you - one method completely dominated while the other failed spectacularly.
In this experiment, I set up two identical campaigns for the same product. Campaign #1 used our battle-tested PPC strategies, while Campaign #2 followed ChatGPT's recommendations exactly. No human interference, no tweaking - just pure AI vs human decision-making to see which approach generates more profitable sales.
Timestamps:
0:00 - Intro and Campaign Set Up
8:35 - Day 2 Results and Analysis
10:02 - Day 3 Performance Check
13:33 - Day 4 Breakthrough Moment
15:58 - Day 5 Critical Adjustments
19:11 - Day 6 Final Push
21:42 - Day 7 Ultimate Results
23:04 - Final Analysis and Winner
31:09 - Key Takeaways for Your PPC Strategy
KEY FINDINGS FROM THIS EXPERIMENT:
=→ 290 carefully researched broad match keywords vs ChatGPT's 15 random suggestions
→ 18% ACOS with consistent daily performance
→ 21 orders generated from strategic keyword targeting
→ Smart bid adjustments based on actual profit margins (10-20% of gross profit)
→ Proper campaign structure with separated match types
CHATGPT CAMPAIGN FAILURES:
→ Poor keyword research missing high-volume converting terms like "little spoon"
→ Random bid recommendations with no profit margin consideration
→ 36% ACOS with inconsistent performance
→ Only 4 orders despite aggressive bid increases
→ Terrible advice like mixing match types in same campaign
→ Recommended negating relevant keywords after just one click
BIGGEST AI MISTAKES THAT COST MONEY:
→ Suggested 50% top-of-search bid multiplier causing sky-high costs
→ Wanted to pause entire campaign and start over instead of optimizing
→ Recommended adding exact match keywords to broad match campaign
→ No understanding of proper campaign structure or data analysis
→ Suggested negating "tiny plastic spoons" - literally what the product IS
WHAT THIS MEANS FOR YOUR PPC:
→ AI can help with data analysis and summaries but fails at strategic decisions
→ ChatGPT lacks fundamental Amazon PPC knowledge and best practices
→ Human expertise in keyword research gives 19x more targeting opportunities
→ Proper bid calculation based on profit margins beats random AI suggestions
→ Campaign structure and match type separation are critical for success
The bottom line: ChatGPT failed this experiment badly. While it can analyze data, it cannot replace human expertise in Amazon PPC strategy, keyword research, or campaign optimization. If you're using AI for PPC decisions, be extremely careful and always have a human expert review recommendations.
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