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#482 - Seller Strategy Masterclass: Next Level Competitor Research

Serious Sellers Podcast · with Bradley Sutton · August 12, 2023 · 33 min

Summary

This episode unveils advanced competitor research tactics on Amazon using Helium 10's Cerebro tool. Learn to reverse-engineer competitor success by analyzing historical keyword rankings, pricing, and coupon strategies, especially for seasonal products. Implement these strategies to gain an unfair advantage and optimize your Amazon listings year-round.

Key takeaways

Themes

amazon & marketplacespaid acquisitionorganic & seoanalytics & attribution

Topics covered

amazon competitor researchhelium 10 cerebrohistorical keyword dataseasonal product strategiesamazon bsr analysiscompetitor price trackingamazon coupon strategiesbrand analytics

Episode description

In this episode, Bradley unveils powerful features that help you see competitors’ historical keyword strategy and how to get insightful notifications on their listings.

Frequently asked about this episode

What does this episode say about amazon & marketplaces?
Utilize Cerebro's 'Show Historical Trend' and 'Time Machine' features to analyze competitor's past keyword rankings and sales performance for seasonal product planning.
What does this episode say about paid acquisition?
Monitor significant drops in competitors' Best Seller Rank (BSR) to identify potential opportunities and understand their strategic moves.
What does this episode say about organic & seo?
Set up customized alerts for competitor listings to track changes in pricing, coupon usage, and other vital listing modifications.
What does this episode say about analytics & attribution?
Analyze competitors' organic and sponsored keyword performance from previous periods (e.g., last Christmas for seasonal items) to inform your own PPC and SEO strategies.
What does this episode say about amazon & marketplaces?
Leverage Brand Analytics to identify top-performing search terms and associated products during specific periods, even for products currently out of stock.

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