This episode emphasizes that effective product discovery is crucial for a superior customer shopping experience and business growth, extending beyond just on-site search. It highlights the critical need for a unified, high-quality product data foundation across all channels, including SEO, PPC, chatbots, and customer service, to ensure consistency and leverage AI for enhanced performance and efficiency.
Key takeaways
Regularly "shop your site" and analyze competitors to understand the customer journey and identify areas for improvement in product discovery.
Prioritize and consolidate product data across all channels (on-site search, SEO, PPC, chatbots) to ensure consistency and prevent siloed efforts, using AI to identify key attributes.
Focus on the 20% most critical product attributes that customers search for and that significantly impact discovery, using data analysis (search terms, filter usage) to identify these.
Leverage AI tools to analyze large volumes of customer search data and identify insights that are too time-consuming for manual review, improving efficiency in product attribute optimization.
Ensure your product discovery strategy is customer-centric; if it works well for real customers, it will generally perform better for SEO and other automated systems.
Jay O’Neill was Product Manager of Product Discovery at Next, one of the UK’s most successful high street retailers focused on fashion and homewares. Jay specialises in growth through digital marketing, CRO, and tech stack optimisation. He scaled soak.com from £2 to £80million, drove digital growth at Holland & Barrett, and took Bathroom Mountain from £0 to £40million in 18 months. In this episode, returning guest Jay shares what he learned from leading Product Discovery at Next, from getting the foundations of product data right to using AI and search insights to uncover new growth opportunities. He also explains how eCommerce teams can make product discovery work harder across SEO, PPC, onsite search and the wider customer journey. Hit PLAY to hear: 🔎 Why product discovery is now much bigger than onsite search 📊 The 20% of product attributes that deserve your attention 🤖 How AI can uncover valuable insights hidden in search data 🛍️ Why better product data should come before better tech 📈 How to turn emerging product trends into SEO and sales opportunities 🧹 The surprising reason you should regularly clean up your search rules Key timestamps to dive straight in: [03:09] AI in product discovery [06:16] Dealing with data silos [10:34] Using AI to analyze search data [14:42] Improving search and utilizing chatbots [16:27] Choosing the right chatbot provider [19:26] Leveraging domain authority for SEO [23:33] Listen to Jay’s Top Tips! Full episode notes here: <a href="https://ecmp.info/613"
What does this episode say about product & merchandising?
Regularly "shop your site" and analyze competitors to understand the customer journey and identify areas for improvement in product discovery.
What does this episode say about analytics & attribution?
Prioritize and consolidate product data across all channels (on-site search, SEO, PPC, chatbots) to ensure consistency and prevent siloed efforts, using AI to identify key attributes.
What does this episode say about ai & automation?
Focus on the 20% most critical product attributes that customers search for and that significantly impact discovery, using data analysis (search terms, filter usage) to identify these.
What does this episode say about conversion & cro?
Leverage AI tools to analyze large volumes of customer search data and identify insights that are too time-consuming for manual review, improving efficiency in product attribute optimization.
What does this episode say about product & merchandising?
Ensure your product discovery strategy is customer-centric; if it works well for real customers, it will generally perform better for SEO and other automated systems.
