AI Use Cases: How AI-Optimised Product Descriptions Boost Conversion Rates with Thomas Ryan, Descriptomizer - podcast episode cover

AI Use Cases: How AI-Optimised Product Descriptions Boost Conversion Rates with Thomas Ryan, Descriptomizer

Dec 18, 202436 minEp. 235
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

Thomas Ryan is the co-founder at Descriptomizer, “the number 1 AI tool for product descriptions”. A tool their clients have found increases conversion by 12%. Thomas has been working in eCommerce software development since the early 2010s. 

 

In this episode, we discuss: 

  • The secret to writing AI-powered product descriptions that actually convert 
  • Why “garbage in, garbage out” is the #1 rule for AI success in eCommerce 
  • How to use AI to uncover hidden customer desires and boost engagement 
  • The future of copywriting: Will AI replace human writers? 

 

Dive in: 

[05:23] Improving AI for better product descriptions. 

[09:25] Start with clear direction; quality input yields success. 

[13:02] Ensuring data quality for AI requires depth. 

[16:36] Use Descriptomizer; track and analyze engagement metrics. 

[17:32] Score product descriptions using "emphasis analysis". 

[21:43] AI reshapes copywriting, humans remain essential. 

[24:50] Insider Tips from Thomas! 

 

Find the notes here: https://keepopt.com/235

Download our ebook >> https://keepopt.com/ebook "500 Top Tips to Make Your eCommerce Business More Profitable"

****

Get all the links and resources we mention & join our email list at https://keepopt.com

Love the show? Chloe would love your feedback - leave a review here: https://keepopt.com/review or reply to the episode Q&A on Spotify.

Interested in being a Sponsor? go here: https://keepopt.com/sponsor

For the best experience, listen in Metacast app for iOS or Android