Snippet of Amazon Algorithm 9 & 10
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Snippet of Amazon Algorithm 9 & 10

Preeti Agarwal Preeti Agarwal

Preeti Agarwal

Experienced Digital Marketer | Former Sales & Marketing Manager | Co-Founder of Rooted Gifts

发布日期: 2024年9月2日
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Amazon Search Algorithm Overview:

  • Uses AI and machine learning (ML) to rank products.
  • Applies natural language processing (NLP) to understand user search intentions.
  • Ranks products based on various factors to decide what appears on the first page of search results

Example:

  • If users search for “office desk,” “work desk,” “computer desk,” or “work table,” the algorithm recognizes these as similar searches and shows relevant products.

Amazon A9 Algorithm (Pre-2021):

  • Focused mainly on sales conversions.
  • Products with higher sales conversion rates were ranked better.

Amazon A10 Algorithm (Current):

  • Includes internal and external factors for ranking:Internal Factors: Keywords, customer reviews, sales volume, conversion rates, click-through rates, seller authority.External Factors: Off-site traffic, social media mentions.

Product Visibility: Products using Amazon’s pay-per-click ads often rank higher.

Seller Authority: Includes feedback ratings, experience, and returns handling.

Key Differences Between A9 and A10:

  • A10 includes external signals like off-site traffic and social media mentions.
  • A10 also considers seller authority more thoroughly compared to A9.

Jyotiraditya Sahoo??

E-commerce Growth Strategist | B2C Marketing Expert | Video Content Specialist | Revenue Accelerator

3 周

"Great insights, Preeti Agarwal! ?? Amazon’s algorithm is evolving fast—A10 now prioritizes engagement, external traffic & seller authority. Smart brands are leveraging UGC, AI-driven PPC & organic strategies to scale. Let’s connect & discuss growth tactics! ?? #AmazonA10 #EcommerceSuccess"

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