Wed 5/20 | Free Admission | Shopify × Growth Meetup — How to Create "Products That Sell": Product Data Design for the Agentic Commerce Era & Feed Optimization to Boost Ad Performance
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Wed 5/20 | Free Admission | Shopify × Growth Meetup — How to Create "Products That Sell": Product Data Design for the Agentic Commerce Era & Feed Optimization to Boost Ad Performance

The era of discovering and purchasing products through AI—such as Gemini, ChatGPT, and Claude—is fast approaching. Amid this shift, how should Shopify store owners design their product data to get discovered by AI and maximize ad performance? Leading practitioners answer this question that many e-commerce businesses and agency partners are grappling with.

At this Growth Meetup, we welcome Hiroki Tanaka (Yuwai Co., Ltd.), a Google Merchant Center Gold Product Expert, and Yuina Tada (FeedForce Inc.), from the product feed management tool "dfplus.io," to cover two themes: "Product Data Design for the Agentic Commerce Era" and "Ad Operations That Go Beyond Shopify's Native Features." Whether you're just getting started with Shopping ads or you're already running campaigns and looking for your next move, this event is packed with actionable insights you can put into practice immediately.

Event Contents

[Part 1 | Product Data Design for the Agentic Commerce Era — How to Build AI-Ready Data in Your Shopify Store Right Now]

The first half of this seminar focuses on "Product Data Design for the Agentic Commerce Era," covering the key concepts and practical considerations for how Shopify stores should structure their data today to get discovered by AI platforms such as Google AI Mode, ChatGPT, and Perplexity.

"AI-ready product data" is not a single concept—the design philosophy differs between foundational data that sellers must prepare themselves and optimized data that must be restructured for ad delivery. Using this two-layer framework, we'll clarify what Shopify's standard features can and cannot do, with a focus on areas where retrofitting later significantly increases costs.

Drawing on experience working with numerous e-commerce businesses and agency partners, the design section will cover:


  • Items to configure at the design stage (difficult to change later + opportunity cost)
  • Areas that tools alone cannot solve: product identifiers, categories, and images
  • How to differentiate between on-site titles and ad-facing titles

...and other practical decision-making frameworks that are effective in production and operations.

This session is designed for business owners who want to get started with Google Shopping ads, as well as production studios and agency partners who are already running campaigns and looking for their "next step in the AI era"—anyone who wants to systematically learn product data design in Shopify and translate it into implementation.

◼︎Speaker
Yuwai Co., Ltd.
CEO & Representative Director, Hiroki Tanaka


Hiroki began his career as a broadcast engineer at NHK (Japan Broadcasting Corporation) before transitioning to the internet advertising industry. After working at a major full-service digital advertising agency, he joined Anagram Inc. (now under FeedForce Group Inc.) as a founding-era member and spent over 11 years there. In September 2023, he became independent and founded Yuwai Co., Ltd. He now works broadly with e-commerce businesses, production studios, and ad agencies, specializing in platform- and AI-friendly product data design, as well as in-house support for ad operations and digital marketing. He is a Gold Product Expert in the Google Merchant Center community.

[Part 2 | From "Running" Ads to "Growing" Them — The Limits of Shopify's Native Features and the Potential Unlocked by dfplus.io]

Shopify's native features (the Google & YouTube channel) are an excellent entry point for getting started with Google Ads. However, for stores that have moved beyond the "just get it running" phase into the "grow results" phase, there are functional limitations when it comes to product data optimization.

Product data optimization is a critical factor that directly impacts results, and these limitations may be capping the potential for ad performance growth.

In fact, some Shopify stores have improved their Google Ads ROAS from 500% to 850% simply by refining the product data used in their Google Ads.

In this session, we'll outline the specific limitations of Shopify's native features and share a checklist to help you determine whether you've reached the next phase. We'll then walk through a live demo of dfplus.io to show you what product data optimization looks like in practice.

Key Topics


  • The limitations of Shopify's native features
  • "Is it too soon?" — A checklist for deciding when to move beyond native features
  • Title optimization options — GMC attribute rules and dfplus.io
  • Taking your ad operations to the next level with dfplus.io

◼︎Speaker
FeedForce Inc.
Yuina Tada


As a sales representative for the product feed management tool "dfplus.io," Yuina primarily supports e-commerce businesses operating Shopify stores and feed ad managers. With an eye toward the agentic commerce era, she is internally driving the Shopping AEO project—a verification initiative aimed at achieving product visibility and recommendation capture within generative AI responses from Google and other platforms.

Date & Time

Wednesday, May 20, 2026, 6:00 PM – 8:00 PM (Doors open at 6:00 PM, Program starts at 6:10 PM)


  • 6:00 PM — Doors open
  • 6:10 PM — Program begins
  • 7:00 PM — Q&A
  • 7:30 PM — Networking
  • 8:00 PM — Event ends

Venue

Daisan Kowa Building 3F, 1-14-14 Akasaka, Minato-ku, Tokyo 107-0052 (Map link)


Admission

Free

Registration

Registration for this event has closed due to high demand.

※ Admission to this event is by lottery. Those selected will be contacted individually.

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