Retailers can turn paid search data into better product content by identifying the queries that lead to purchases, then using that language to improve product attributes, descriptions, and FAQs. For performance marketing, marketplace, merchandising, and content teams, the goal is to understand the need behind each query. Prioritize terms associated with valuable purchases, and translate them into accurate explanations of product benefits, compatibility, and use cases.

At eTail Boston 2026, Taylor Oaks, Director of Website, SEO & Affiliates, Pep Boys, described using paid and organic search together to identify where the retailer can compete. "There are areas where we can win organically and paid can't, or paid doesn't need to spend those dollars," he said. For product content teams, that approach suggests reviewing paid search findings alongside organic performance to decide which customer questions deserve clearer answers on product pages.

The 2026 eTail Insights Personalized Channel Activation in Retail & eCommerce report that 87% of the 100 surveyed leaders rely on last-click or platform-specific attribution without a unified cross-channel view. That finding suggests teams should treat paid search results as one source of evidence about customer needs, not a complete explanation of what drives a purchase.

Start with one product category and have paid search and merchandising teams review converting queries together. Group them by the needs they express, such as fit, intended use, or compatibility, and identify questions the current product pages leave unanswered. Verify every proposed claim against product specifications before updating descriptions, attributes, and FAQs. Test the revised content on a limited set of pages, and review conversion performance alongside organic and AI search visibility.

Join your retail marketing, merchandising, and digital commerce peers at the upcoming eTail Boston to explore how search insights can inform better product content and AI-driven discovery.