Bill Ready
President and Chief Executive Officer
Replay available
Pinterest, Inc. (NYSE: PINS) Q2 2026 earnings conference call, held 2026-08-04. Replay captured from the company's public earnings webcast.

President and Chief Executive Officer
Analyst, Bernstein
Analyst, Baird
Analyst, Morgan Stanley
Analyst, Barclays
Analyst, TD Cowen
Analyst, Bank of America
Analyst, Oppenheimer
Analyst, Goldman Sachs
Analyst, Guggenheim Securities
Analyst, KeyBank
Analyst, Wolf Research
Thank you so much for joining us today. Over 96% of text-based searches on our platform are unbranded. For instance, cool running shoes or new fall wardrobe ideas. This is a great moment for marketers to meet prospective customers when they have clear commercial intent but haven't yet decided what to buy. As users move from inspiration to a more specific decision, their needs evolve from discovery to research with questions like, do these shoes run true to size? Or can you compare these two brands? To handle this part of the commercial journey, we're bringing AI further into the foreground of the user experience with our AI conversational layer, Pinterest Assistant. This intelligence layer, which we made available to the vast majority of US users as of the end of July, helps our users answer those later stage research questions, enabling them to move from an idea to a finished plan or purchase entirely on Pinterest. Pinterest Assistant is now woven throughout the user experience. Users can engage with it where they already explore and plan with contextual entry points and prompt suggestions across the experience, and will be able to generate product comparisons, step-by-step instructions, and visual forward guidance. For example, someone planning a living room refresh can ask what styles work in their space, get help finding the right rug, and explore ways to pull it all together within their budget, all without leaving Pinterest. What makes Pinterest's intelligence differentiated is that it's built on our taste graph. Years of visual curation signals from user searches, saves, and boards, giving a deep understanding of products and style that is highly relevant to how people shop and to each individual's taste and interests. Notably, it's also visual first, consiste...