Oct 23, 2024
Bayesain Updates -
Changing the Game of Ranking
In this episode of
Seller Sessions, Danny and Oana unveil their latest
collaborative article, which delves into Amazon's patents and
algorithms, particularly focusing on the evolution from 2022 to
2023. This monumental piece—over 10,000 words—aims to be the most
extensive public resource on Amazon's A9 algorithm, tracking its
history and impact.
Article
Origins and Team Effort -Danny and Oana teamed up for
several papers, each expanding in scope. Their latest collaboration
incorporates insights from two patents and 15-16 additional
scientific papers. -The goal: Analyze the algorithm changes between
2022 and 2023, highlighting key differences and their implications
for sellers.
Key Themes
Covered -BERT, Cosmo, and External
Traffic: Deep dive into these technologies and how they
impact ranking, visibility, and traffic management. -Sales
Velocity and Cold Start Mechanisms: The duo explores how
Amazon’s cold start problem has evolved, driven by Bayesian updates
and machine learning. -Honeymoon Period Myth: A
thorough debunking of the concept, explaining why it no longer
holds true after algorithm changes in 2022.
Data-Driven
Approach This project digs into how Amazon now processes
data, with updates to ranking and product visibility happening
every 2-24 hours. The emphasis is on personalization, driven by
Amazon’s focus on conversion likelihood, making an optimized launch
strategy critical.
Amazon’s Shift
Towards Personalization -Amazon’s increasing focus on
tailored customer experiences, from personalized search results to
dynamically adjusted product titles. -Concerns about how machine
learning models, like Cosmo and Rufus, will continue to evolve and
potentially override manual optimizations sellers make.
Tune in to gain the
edge on launching your products and mastering Amazon's constantly
evolving system.