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#467 - Amazon Pre Launch Episode: The Bali Blast - Part 2

Serious Sellers Podcast · June 24, 2023 · 37 min

Summary

This episode is a tactical deep dive into Amazon pre-launch strategies, focusing on leveraging competitor data, keyword research expansion, and listing optimization. It provides actionable methods for sellers to reverse-engineer PPC, find long-tail keywords, and use Amazon's algorithm to their advantage before a product even launches, setting the stage for strong initial performance.

Key takeaways

Themes

amazon & marketplacespaid acquisitionorganic & seoai & automation

Topics covered

amazon pre-launch strategyreverse engineering ppclong-tail keywordsamazon product opportunity exploreramazon algorithmlisting optimizationkeyword indexingkeyword rankinghelium 10 toolschatgpt for listings

Episode description

In this episode, Bradley unveils the rest of the Bali Blast Amazon Pre-Launch strategies to get your brand on the right path for an epic launch on Amazon!

Frequently asked about this episode

What does this episode say about amazon & marketplaces?
Reverse engineer competitor PPC by analyzing sponsored rank average (1-30) for high-bidding keywords, identifying those competitors invest heavily in.
What does this episode say about paid acquisition?
Expand keyword research beyond initial findings by using Amazon Product Opportunity Explorer to uncover niche-specific keywords, even without brand registry.
What does this episode say about organic & seo?
Utilize Cerebro to widen keyword search by setting advanced rank filters (1-100) for competitor products, identifying keywords where at least one competitor ranks on the first two pages.
What does this episode say about ai & automation?
Identify long-tail keywords by examining the top 10 phrase roots from your main keyword list, then using Magnet to find related long-tail variations.
What does this episode say about amazon & marketplaces?
Leverage ChatGPT through Helium 10's Listing Builder to nest keywords and create optimized Amazon listings, ensuring all relevant terms are naturally integrated.

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