Market & Competitor Research for E-commerce
Copy, tweak, and ship in minutes
Market & Competitor Research for E-commerce. A ready-to-run set of prompts tailored to an online store: copy a prompt, replace the bracketed details, and paste it into ChatGPT, Claude, or Gemini.
Overview
The Market & Competitor Research for E-commerce turns a blank chat box into 6 starting points for E-commerce teams. It includes prompts like “SWOT”, “Jobs-to-be-done” and “Survey design”. Every prompt is unlocked and free — copy the whole set, or grab only the one you need right now. Paste any of them into ChatGPT, Claude and Gemini and shape the output to match your voice.
What’s inside
(6)1.Competitor teardown
Act as a market analyst for an online store. Build a competitor analysis framework for the E-commerce market: pick 5 competitors and compare positioning, pricing, strengths, weaknesses, and gaps an online store can own. Replace the [bracketed] parts with your own details before running the prompt.
2.Customer persona
Create 3 detailed customer personas for an online store in E-commerce: goals, pains, objections, buying triggers, and where they hang out online. Replace the [bracketed] parts with your own details before running the prompt.
3.SWOT
Run a SWOT analysis for an online store entering/operating in the E-commerce market, with 3 action items per quadrant. Replace the [bracketed] parts with your own details before running the prompt.
4.Jobs-to-be-done
List the top 8 jobs-to-be-done a E-commerce customer hires an online store to do, with the underlying emotional and social motivations. Replace the [bracketed] parts with your own details before running the prompt.
5.Survey design
Design a 10-question market-validation survey for an online store to test demand for [offer] among E-commerce customers. Replace the [bracketed] parts with your own details before running the prompt.
6.Pricing benchmark
Outline how an online store should benchmark pricing in E-commerce, what data to gather, and 3 pricing strategies to consider. Replace the [bracketed] parts with your own details before running the prompt.
How to use this pack
Step 1
Pick a prompt
Start with “Competitor teardown”, or scan the 6 prompts below for the one that matches your task.
Step 2
Copy it
Use the Copy button on any prompt — or “Copy all 6 prompts” — to grab the full text.
Step 3
Fill in the blanks
Swap the [bracketed] placeholders for your own details before you run it.
Step 4
Run and refine
Paste it into ChatGPT, then ask for adjustments until the result fits E-commerce teams.
Who it’s for
- In-house and agency marketers serving E-commerce clients
- Beginners who want a proven starting point instead of a blank prompt box
- Busy people who'd rather edit a solid draft than write one from scratch
Tips for better results
- Set constraints — length, tone, audience — so you don't have to fix them afterward.
- Re-run the same prompt with your feedback; the second pass is usually noticeably better.
- Replace every [bracketed] placeholder before you run a prompt — the more specific your inputs, the better the output.
- If the first result isn't right, don't rewrite the prompt — just reply with what to change ("make it shorter", "more formal", "add examples").
Source: Prompt Platform (original) · Original content
Frequently asked questions
Is the Market & Competitor Research for E-commerce free to use?
Yes. All 6 prompts in this pack are free to read, copy and use — including for commercial work. PromptsVault is ad-supported, with no account, checkout or paywall.
Which AI models do these prompts work with?
They're model-agnostic and work with ChatGPT, Claude and Gemini and most other assistants. Copy a prompt and paste it into whichever tool you prefer.
How many prompts are included?
6 prompts. They're original PromptsVault content.
Do I need to know prompt engineering?
No. Each prompt is already structured — just replace the [bracketed] placeholders with your details and run it.
Can I use these prompts for E-commerce?
Yes — they're tailored to E-commerce teams, and every placeholder can be adapted to your exact E-commerce use case.
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