How To Turn Site Search Into A High-Performing Revenue Engine — Paulius Nagys | Why Complex Catalogs Need AI, Why Patience Gaps Kill Sales, How AI Matches Search Intent, Why Search Bars Provide Feedback, What Vector Search Actually Does (#463)

In this episode, we dive into why most online stores lose money because of poor search bars and how to fix it.

Paulius Nagys, Co-founder of LupaSearch, explains how modern shoppers have very little patience when they can't find what they want. He shares how AI-powered search understands what a person actually means, even if they use the wrong words.

You will also learn how to use search data to predict what customers will want next and how to turn your search bar into a powerful tool for more sales.

Topics discussed in this episode:  

• How the "patience gap" kills revenue. 
• Why keyword search is now a commodity. 
• What AI does to match search intent. 
• How search bars act as feedback channels. 
• Why vector search beats simple keywords. 
• How seasonal trends impact search results. 
• What complex catalogs need to convert. 
• Why "symptom search" helps pharmacies sell 
• How real data simulations prove ROI. 
• What the future holds for AI adoption. 

Links & Resources 

Website: https://www.lupasearch.com/
LinkedIn: https://www.linkedin.com/company/lupasearch
X/Twitter: https://x.com/LupaSearch

Get access to more free resources by visiting the show notes at https://tinyurl.com/mw2nekyx

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