Want to crack the code of Amazon's algorithm? Join us in this riveting episode as we sit down with Kevin Dolan, Principal Engineer of the AI Labs program at Pacvue x Helium 10, a mastermind who has scrutinized over 100 Amazon Science papers and run millions of tests to decode the intricate workings of Amazon's search framework. From semantics to lexical search and all the fine details in between, be prepared to gain invaluable knowledge and insights that will transform how you see Amazon's ecosystem.
Pressing on, we dive deep into the expansive landscape of AI with Kevin. We break down the complexities of Amazon Science's information retrieval papers, shedding light on the motivations, implications, and limitations. With a heavy focus on both the relevancy ranking system and the behavioral indicators, such as previous purchases and time spent on a page, we reveal the intricacies of how this system functions and the challenges faced by new products. You'll gain a comprehensive understanding of the balance between query intent and query volume, as well as the impact of micro-actions on a product's early life.
We wrap up our conversation by evaluating the role of Artificial Intelligence in selling success, discussing how semantic search differs from lexical matching, and lastly, looking at the promising future of the Amazon algorithm's evolution. This episode is a gold mine of knowledge and insights that will guide you in navigating Amazon's complex systems. With the help of Kevin's expertise and insights, you'll be better equipped to harness the power of Amazon's algorithm for your own Amazon FBA business’ success. Don’t miss this rare opportunity to gain insights from an expert who has spent countless hours demystifying the workings of Amazon. Enjoy the episode!
In episode 499 of the Serious Sellers Podcast, Bradley and Kevin discuss:
00:00 - Check Keyword Indexing With Helium 10
06:21 - Impressive AI Amazon Listing Builder 
10:49 - Investigating the Amazon Algorithm 
21:10 - How Amazon Search Works in Phases 
25:43 - How Amazon Chooses Search Results 
31:17 - Analyzing Product Metrics and Rankings 
35:05 - Amazon Keyword Relevance and Product Ranking 
38:44 - Amazon's Trend in Personalized Search 
42:48 - Keyword-Based Search vs. Meaning-Based Search
50:53 - Advancements in Semantic Search Techniques

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Transcript
Bradley Sutton:
Today we’re going to talk to somebody who might be the most knowledgeable person in the entire world about how the Amazon algorithm works. He studied over 100 Amazon science papers and runs tests on millions of data points, and he’s going to be educating us on his findings, about what he’s found on things such as semantic search, lexical search and more, including showing a shocking example of proof of how search on Amazon is evolving drastically even now. How cool is that? Pretty cool, I think. Did you know that just because you have a keyword in your listing, that does not mean that you are automatically guaranteed to be searchable or, as we say, indexed for that keyword? Well, how can you know what you are indexed for and not? You can actually use Helium 10’s Index Checker to check any keywords you want. For more information, go to h10.me/indexchecker.
Hello everybody and welcome to another episode of the Serious Sellers podcast by Helium 10. I’m your host, Bradley Sutton, and this is the show that’s completely BS free, unscripted and unrehearsed organic conversation about serious strategies for serious sellers of any level in the e-commerce world. And we’ve got for the first time, somebody on the show a fellow worker here at Helium 10, but one of the more unique ones. He’s not like we’ve had produc