Amazon Legends Podcast

Getting the Most out of Amazon Experiments and A/B Testing - Elijah Erny - Amazon Legends - Episode #262

Nick Uresin Episode 262

Join us on the latest episode of the Amazon Legends Podcast (#262) as we dive deep into the world of e-commerce success with our special guest, Eli! With a dynamic background in marketing and a passion for powerlifting, Eli is the e-commerce brand manager at Highlands Digital. With his expertise in driving sales and brand growth, particularly on Amazon, he'll unveil the secrets to unlocking profitability and success for your brand. Tune in to discover his data-driven strategies, KPI-focused approach, and insights on A/B testing that are sure to elevate your online business game. Whether you're a seasoned seller or just starting out, this episode promises to empower you with the tools you need to thrive in the competitive e-commerce landscape. 
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 #AmazonLegendsPodcast #EcommerceSuccess #DataDrivenStrategies #A/BTestingMastery

Takeaways:

  • Data-Driven Decision-Making: Emphasize the importance of using data and metrics to drive decisions, from product selection to marketing strategies, in order to maximize success.
  • Isolate Variables: Test a single variable at a time (e.g., product image, title, description) to accurately identify which change leads to improved performance.
  • Patience is Key: Allow tests to run for an adequate duration to account for fluctuations and variations that may occur over time.
  • Statistical Significance: Ensure the sample size is large enough to yield statistically significant results, avoiding premature conclusions from limited data.
  • Impact on Ranking: Improved conversion rates resulting from A/B testing can positively impact Amazon's organic ranking algorithm, potentially leading to higher visibility in search results.
  • Customer-Centric Approach: A/B testing encourages a customer-centric approach, ensuring that listing changes cater to the preferences and needs of the target audience. 

Quote of the Show:

In the initial 30-60 days, allow your listing to build sales and momentum, letting the algorithm learn about it. After this period, ongoing testing is crucial. However, Amazon requires a minimum search volume for experiments, necessitating some traction. Not all listings are eligible for experiments. Your listing needs a certain volume for Amazon to permit experiments. This is essential before initiating A/B tests.


Links :

Link to Linkedin: https://www.linkedin.com/in/elijah-erny/

Link to Company Website: https://thinkhighlands.com/

Link to Youtube: https://www.youtube.com/@EliErny/about

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