Why Amazon Ranking "Best Practices" DON'T Work (What Actually Does)

Synapse Sessions episode 11 with Brian R Johnson (DeepM Founder)
In this game-changing episode of Synapse Sessions, I sit down with Brian Johnson, founder of DeepM and 18-year e-commerce veteran with 11 years specifically on Amazon. Brian reveals why generic ranking advice fails and shares the data-driven approach that's delivering 200-400% organic sales growth for Amazon sellers.

🎯 WHAT YOU'LL LEARN:

Why focusing on high-volume keywords is actually hurting your rankings
The exact Brand Analytics data you should analyze to find your competitive advantage
How Amazon's A9 algorithm treats each product niche differently (and why this matters)
The search term selection strategy that beats chasing popular keywords every time
Why conversion rate advantage trumps search volume for ranking success
How to identify the 5-10 search terms where you actually outperform competitors
The biggest mistakes sellers make with keyword research tools
Which search rank factors matter most for YOUR specific niche
How to use AI tools to analyze your search query performance data

Brian breaks down why the "set it and forget it" mentality kills Amazon businesses and shares the precision-focused approach his system uses to analyze over 100 ranking factors. If you're struggling with Amazon ranking despite following all the "best practices," this episode reveals what's actually moving the needle.

👉Get in touch with Brian R Johnson learn more aboout DeepM.ai
🔗 Website: https://deepm.ai
🔗 LinkedIn:   / brianrjohnson-amazon  

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✅ Other FREE Tools ✅
PPC Analyzer
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PPC N-gram analyzer pro
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Listing Analyzer
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N-gram analyzer GPT
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CHAPTERS

00:00 Brian Johnson's Journey & Experience in Amazon
02:36 The Reality of Amazon Algorithm Changes
07:40 Why Generic Ranking Advice Fails
13:14 Amazon Marketing Cloud & Data-Driven Approach
15:01 Niche-Specific Ranking Factors
19:01 New Product Launch Strategy & Data Collection
21:35 Using DeepM for Product Launches
25:02 Stop, Start, Keep Framework for Amazon Success
27:33 Testing Changes & Timeline for Results
32:57 Search Query Performance Reports & AI Analysis
38:04 Who Should Use DeepM & Success Metrics
42:52 Contact Information & Future Roadmap