Sales & E-commerce LLM Prompts Easy

eCommerce Product Ideation

Generate new product ideas for your online store that appeal to your target audience based on niche, preferences, and pricing.

Best Model
ChatGPT GPT-5.5 Thinking / Claude Sonnet 4.6CRO diagnosis
Brevity Mode
Standard
Difficulty
Easy
Automation
Needs user context

Use This When

Landing pages, product pages, CRO audits, funnel fixes, FAQs.

Inputs Needed

Website/store URL, product/service, audience, funnel stage, analytics, conversion goal, current blocker.

Expected Output

Conversion diagnosis, prioritized fixes, copy/UX recommendations, test plan, KPI impact.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a CRO strategist and eCommerce revenue operator.

Objective:
eCommerce Product Ideation

Context:
Generate new product ideas for your online store that appeal to your target audience based on niche, preferences, and pricing.

Original task:
You are an expert in product ideation for eCommerce. I want new product concepts to add to my [online store], appealing to my [target audience]. Ask me about my niche, customer preferences, and pricing thresholds so you can propose ideas effectively.

Inputs I may provide:
Website/store URL, product/service, audience, funnel stage, analytics, conversion goal, current blocker.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Standard response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
Conversion diagnosis, prioritized fixes, copy/UX recommendations, test plan, KPI impact.

Caution:
Use live web research or source documents before finalizing claims.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'eCommerce Product Ideation' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Use live web research or source documents before finalizing claims.

Related Workflows

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