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The Cold Reality of the Honeymoon Period & External Traffic Part 1

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Manage episode 438338540 series 1724606
Content provided by Danny McMillan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Danny McMillan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
The Cold Reality of the Honeymoon Period & External Traffic Part 1 Now let's get to the fun part. Who hasn't heard of the Honeymoon Period? Follow along via video Everyone in the Amazon industry has heard about the so-called "Honeymoon Period," and after years of crafting strategies around an observation (by Anthony Lee in 2015, which he himself, as a very smart man, denounced using scientific literature), it is time for us to try to get closer to the truth. And that is why in the article, you will find references to 15 scientific papers and 2 patents on the A9 Algorithm - the one from 2022 and the updated one from November 2023. Before anyone starts getting concerned about the latest patent update being from almost a year ago, know that semantic matching, BERT, and COSMO will be presented in the article (and Danny's video). The reason is simple: we have the baseline, and what gets added are layers. You will see how the move Using LLMs for processing data and updating rankings in (close to) real-time matches perfectly with the COSMO framework and what RUFUS is currently doing with the results. The scope of the video is to allow you to peek at what is coming and what will be presented in the article, as we will be working around the technical details of what really works when you launch a product on Amazon and what the myths are surrounding the Honeymoon Period phenomenon.
  • 30-60 day grace period where Oana goes in-depth in this article (I will also cover 7-14 days)
  • Getting the Honeymoon Period every time
  • Resetting the Honeymoon Period (with the ASIN deletion)
  • Having a bad honeymoon period
The point of this is to focus your time and attention on what matters versus theories without scientific data to back them up. In the video, there is only a short intro showing one of the figures presented in the patent; it focuses on the specific moment when a product appears for the first time in search. This image is from the 2023 patent; however, in the article, you will find an in-depth description and comparison between the 2022 and the 2023 algorithm updates as Amazon introduced a more sophisticated method of refining and displaying search results. That will allow you to understand what changed from 2022 to 2023 when it comes to launching products on Amazon and not only that but also ranking and gaining visibility for already established products. The article is the result of many hours of work and recording, going back and forth. As we want to ensure it is easy to read for everyone, technical details are included since we are quoting and writing from scientific literature. But do not worry; there are a couple of things everyone needs to understand that will make things easier without delving into the technical details of how the algorithm works. These are: Prior Predictions Posterior Predictions Prior Predictions using the Bayesian formula Learn these, and you will understand ranking on a whole new level. Follow along via video
  continue reading

309 episodes

Artwork
iconShare
 
Manage episode 438338540 series 1724606
Content provided by Danny McMillan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Danny McMillan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
The Cold Reality of the Honeymoon Period & External Traffic Part 1 Now let's get to the fun part. Who hasn't heard of the Honeymoon Period? Follow along via video Everyone in the Amazon industry has heard about the so-called "Honeymoon Period," and after years of crafting strategies around an observation (by Anthony Lee in 2015, which he himself, as a very smart man, denounced using scientific literature), it is time for us to try to get closer to the truth. And that is why in the article, you will find references to 15 scientific papers and 2 patents on the A9 Algorithm - the one from 2022 and the updated one from November 2023. Before anyone starts getting concerned about the latest patent update being from almost a year ago, know that semantic matching, BERT, and COSMO will be presented in the article (and Danny's video). The reason is simple: we have the baseline, and what gets added are layers. You will see how the move Using LLMs for processing data and updating rankings in (close to) real-time matches perfectly with the COSMO framework and what RUFUS is currently doing with the results. The scope of the video is to allow you to peek at what is coming and what will be presented in the article, as we will be working around the technical details of what really works when you launch a product on Amazon and what the myths are surrounding the Honeymoon Period phenomenon.
  • 30-60 day grace period where Oana goes in-depth in this article (I will also cover 7-14 days)
  • Getting the Honeymoon Period every time
  • Resetting the Honeymoon Period (with the ASIN deletion)
  • Having a bad honeymoon period
The point of this is to focus your time and attention on what matters versus theories without scientific data to back them up. In the video, there is only a short intro showing one of the figures presented in the patent; it focuses on the specific moment when a product appears for the first time in search. This image is from the 2023 patent; however, in the article, you will find an in-depth description and comparison between the 2022 and the 2023 algorithm updates as Amazon introduced a more sophisticated method of refining and displaying search results. That will allow you to understand what changed from 2022 to 2023 when it comes to launching products on Amazon and not only that but also ranking and gaining visibility for already established products. The article is the result of many hours of work and recording, going back and forth. As we want to ensure it is easy to read for everyone, technical details are included since we are quoting and writing from scientific literature. But do not worry; there are a couple of things everyone needs to understand that will make things easier without delving into the technical details of how the algorithm works. These are: Prior Predictions Posterior Predictions Prior Predictions using the Bayesian formula Learn these, and you will understand ranking on a whole new level. Follow along via video
  continue reading

309 episodes

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