[Within 30 Minutes] Food EC New Product Planning Template with AI! Market Research to LP Design, Fully Free and Seamlessly Integrated

GOAT Inc. has released a free template for food e-commerce new product planning, leveraging AI. It supports everything from market research to LP design with AI-compatible prompts, aiming to increase success rates at the planning stage.
その他NQ 81/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: May 8, 2026 at 19:00
  • 🔍 Collected: May 8, 2026 at 10:31
  • 🤖 AI Analyzed: May 9, 2026 at 03:00 (16h 28m after Collected)
GOAT Inc. has released "[Within 30 Minutes] Food EC New Product Planning Template with AI! Market Research to LP Design, Seamlessly Integrated" for free, complete with AI-compatible prompts. It includes step-by-step prompts that can be used by simply copying and pasting into ChatGPT for each phase. This is a new product design template specifically for food e-commerce, guiding users from planning to launch without confusion.

■ "Thinking about how to sell after creating" is already a losing strategy

Looking back at cases where new products in food e-commerce failed to sell, almost all of them shared the commonality of "thinking about how to sell after creating." Successful businesses do the opposite. Before product development, they first design "which keywords are being searched for," "where competitors' weaknesses lie," and "whether LTV can be sustained at this price." New products that lack the four essential elements—market research before creation, USP articulation, pricing design, and LP structure—are already at a low probability of success even before launch.

This template is a step-by-step guide to align these four points during the planning stage, working alongside AI.

■ Main contents included in the document

📊 STEP1 Market Research Prompt

Prompts instructing AI to map competitors among the top 10 Rakuten ranking products. Designing a positioning strategy by discovering "where competitors are weak."

📊 STEP2 USP Articulation Prompt

Concept design to distill into a single sentence like "〇〇 for 〇〇 people." A procedure to inventory fact-based USPs that competitors find difficult to imitate, using AI.

📊 STEP3 LTV-based Pricing Design

An AI-compatible calculation template to determine the upper limit of CPA by reverse calculation from initial price × F2 conversion rate × LTV. Practical pricing design ensuring a 40-60% gross profit margin for food e-commerce.

📊 STEP4 Simultaneous LP Structure Design

A method to discover "difficult-to-convey products" at the planning stage by designing the LP structure in parallel with product planning. Typical failure patterns and avoidance measures that occur when LP design is postponed.

Representative Comment

"At GOAT, we also practice AI-powered product planning processes in our support. AI is very effective as a 'draft' for market research, USP articulation, and copy generation, but it is crucial to verify pricing design and final USP decisions with our own real data. We hope this template will be a catalyst to break the cycle of 'it didn't sell again.' Please try the STEP1 market research prompt with your current products today."

— Shun Yoshinaga, Representative Director, GOAT Inc.

■ We want these food e-commerce businesses to read this immediately

✅ Experienced new product launches that sold less than half of expectations and still can't articulate "why it didn't sell."

✅ Believe they are doing market research but can't articulate "where this product can win."

✅ Started thinking about the LP after the product was completed and realized "it's difficult to convey."

【Click here to apply】

"[Within 30 Minutes] Food EC New Product Planning Template with AI! Market Research to LP Design, Seamlessly Integrated" is available for free download on GOAT Inc.'s official website.
📥Click here for the application URL

【Consultation for EC operations also accepted】

💡"I want someone to monitor what my current support company is doing."
💡"I want to talk to a specialist with expertise in food e-commerce."
💡"I'm running ads, but they're not effective."

If you have such concerns, please consult GOAT Inc.
We support operation assistance for Rakuten Ichiba and Amazon, advertising operations, and sales improvement.

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