{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/696fd5e36544003fe9fb3a25/69ce30a6d2e95f51313cbf93?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"How to build a retail growth engine in 2026","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/696fd5e36544003fe9fb3a25/1775120482056-16931424-6c17-4fa3-9782-3e996dd489fe.jpeg?height=200","description":"<p>Conversational shopping in AI Mode. Virtual try-on. Agentic checkout. Business Agent on Search. Google Lens in YouTube Shorts. Shoppable CTV.&nbsp;</p><p><br></p><p>The secret powerhouse behind them all? Your product data. It’s no longer just a list of SKUs; it’s the high-resolution infrastructure for the next era of retail.</p><p><br></p><p>In this episode of Ads Decoded, host Ginny Marvin is joined by Firas Yaghi, Global Product Lead for Retail Solutions, and Nadja Bissinger, Group Product Director for Retail on YouTube. They separate the hype from the strategic essentials, discussing the practical steps retailers can take now to deliver high-performing ads across Search, YouTube and new AI-powered experiences.</p><p><br></p><p>In this conversation:</p><p>-The product feed as foundation: Enriching your data with lifestyle images and rich descriptions to power multi-modal discovery.</p><p>-From competing to compounding: Why it’s time to stop viewing campaign types as competitors and use a surround sound-style approach.&nbsp;</p><p>-The signal shift: How Lookalikes have changed from rigid targets to multi-dimensional signals that give the AI the flexibility to find your next best customer.</p><p><br></p><p>Want Ginny’s key takeaways and tips from this conversation? Subscribe to the Ads Decoded newsletter: https://goo.gle/4ryu6uV</p><p><br></p><p>Find Ginny on LinkedIn at https://goo.gle/4aFEw4I and on X as https://goo.gle/3N2Q22r</p>","author_name":"Google"}