[Event Report] 5/20 Shopify × Growth Meetup — Maximizing Product Data: Practicing "Agentic Commerce" on Shopify and Next-Level Ad Operations

On Wednesday, May 20, 2026, we hosted the Shopify × Growth Meetup at the StoreHero office in Akasaka, Tokyo. The theme for this edition was "Maximizing Product Data." With AI tools like Google AI Mode, ChatGPT, and Perplexity increasingly becoming the entry point for online shopping, two expert speakers delivered high-energy sessions covering how Shopify stores should approach product data and the practical know-how for optimizing data feeds to drive better ad performance.

The venue was packed to capacity, with many attendees furiously taking notes throughout the presentations. The Q&A session and networking reception that followed were equally lively. This article distills the key takeaways into a concise guide — a starting point for anyone looking to get their product data in order.

Event Overview

• Date & Time: Wednesday, May 20, 2026, 18:00–20:00
• Venue: StoreHero Office (Akasaka, Minato-ku, Tokyo)
• Format: Part 1 Presentation → Part 2 Presentation → Q&A → Networking Reception

Part 1 | Designing Product Data for the Age of Agentic Commerce

Speaker: Hiroki Tanaka, CEO, Yuwai Inc. (Google Merchant Center Community Gold Product Expert / 14+ years in Google Shopping Ads)

Tanaka's session opened with a fundamental question: "What does it mean for a product to be chosen by AI?"

"What AI Sees" vs. "What Humans See" — Two Different Things

Humans can instinctively read impressions like "looks warm" or "stylish" from a product photo, but AI can at best identify "this is a sock" based on shape. Without detailed, structured attribute data — material, size, color, target gender — a product remains blurry and undefined to AI. Tanaka's conclusion: what stores need to do to prepare for the AI commerce era is not some newfangled buzzword strategy, but the same fundamental best practice that has held true for 14 years — getting the most out of Google Merchant Center (GMC).

A Two-Layer Approach: "Foundation Data" and "Optimization Data"

The key to building AI-ready data is thinking in two layers: foundation data that communicates what a product fundamentally is (brand, model number, GTIN, images, etc.) and optimization data that is tailored for ad delivery and search queries (ad-optimized titles, category corrections, etc.).

Particular emphasis was placed on early-stage design decisions that, if neglected, create costly rework later — like trying to run plumbing after a house is already built:

• Separating URLs by variant: Whether to give each size and color its own URL must be decided during initial setup — retrofitting this later can be extremely expensive.
• Registering GTINs (JAN codes) and MPNs: These are the "admission tickets" that allow Google to identify products and include them in price comparison tables. Withholding them out of fear of losing on price is a missed opportunity — if you're not in the table, you can't even be compared.
• Product category setup: Google's automatic categorization can be surprisingly wrong (a women's dress has been categorized as "doll clothing"). Manually setting the correct taxonomy using Shopify's Standard Product Taxonomy is essential.

"The idea that adapting to AI will automatically drive sales is an illusion. Structuring your data is simply the phase where you earn the right to stand on the stage of AI commerce." This message resonated strongly with the audience.

Part 2 | From "Running" Ads to "Growing" Them — Using dfplus.io

Speaker: Yuina Tada, FeedForce Inc.

Part 2 focused on how the data feed management tool dfplus.io can address gaps that Shopify's native "Google & YouTube" channel cannot cover, illustrated with concrete improvement case studies.

Product Title Optimization: ROAS Improved from 500% to 850%

At one Shopify store, by filtering products by season, CVR, price range, and category, then adding Japanese product names, brand names, color, and size to English product titles, ROAS improved from 500% to 850%. At another store, adding high-demand general search terms to titles and enriching required and recommended attribute fields using metafields pushed click volume from 160% to 220%.

Product titles are the face of shopping ads. Since only roughly the first 7–15 characters are typically displayed, placing the most important information at the beginning is key to maximizing results.

The session also covered how to use Shopify's native tools, GMC attribute rules, and dfplus.io in combination — giving attendees a clear mental map for moving from "just running ads" to "actively growing results."

Q&A Highlights (Selected Questions)

• "Is it okay to include seasonal keywords like 'Mother's Day' in product names?"
• "What are the best practices for product naming?"
• "What should we do if we have original products without a JAN code?"

Networking Reception: A Great Success

After the presentations, attendees gathered around speakers Tanaka and Tada for candid conversations about feed design, ad operations, and AI commerce strategy. We heard many comments like "I met other business owners dealing with the same challenges" and "I know exactly what to do starting tomorrow."

About the Next Growth Meetup

Information on upcoming Growth Meetup events will be announced on the StoreHero News page. If a topic catches your interest, feel free to apply (free to attend, lottery-based selection).

If you are serious about growing your Shopify store, you are also welcome to take advantage of our Free Shopify Store Diagnosis. Our team at StoreHero will review your current state from a professional perspective — covering product data, advertising, and store structure — and work with you to identify your next steps.

We look forward to seeing you at a future event.