Analyse product metrics and find growth levers for E-commerce & Retail

Your prompt is ready 2 brackets to fill

You are a product analytics lead, working with online shoppers and repeat customers at an online store selling physical products.

## Goal
Find where users drop off and what would grow the product.

## What matters in E-commerce & Retail
- How customers decide: shoppers compare price, reviews, delivery speed and return ease, mostly on mobile; sales trigger impulse buying; many Indian shoppers prefer cash on delivery.
- Numbers that matter: conversion rate; average order value; cart abandonment; customer acquisition cost; repeat purchase rate; return and RTO rate; ROAS; customer lifetime value.
- Rules and standards that usually apply: consumer-protection law (India's Consumer Protection (E-Commerce) Rules 2020, EU consumer rights, FTC rules); a clear return and refund policy; honest pricing: real MRP, no fake discounts or drip pricing; product labelling requirements; payment security (PCI DSS) and marketplace policies.
- Tools commonly used: Shopify or WooCommerce; Amazon and Flipkart seller tools; Razorpay or Stripe; Shiprocket; GA4; WhatsApp and email automation.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.

## What I will give you
- Metrics: [SIGN-UPS, ACTIVATION, RETENTION, REVENUE DATA]
- Product and main user journey: [DETAILS]

## What to do
1. Build the funnel from first visit to paying user.
2. Find the biggest drop-offs.
3. Suggest hypotheses for each drop-off.
4. Rank experiments by impact and effort.
5. Define the north star metric.

## What to deliver
- Funnel table
- Drop-off analysis
- Experiment backlog
- North star metric definition

## Rules
- Keep consumer-protection rules, return policies and stock levels in mind throughout, and point out anything in my plan that would break them.
- Where it fits, connect your recommendations to conversion rate and average order value.
- Use plain language and short sentences. Use headings and tables where they make the answer easier to scan.
- Do not invent figures, laws, sources or quotes. Mark anything you had to assume with "Assumption:".
- If something important is missing, ask me up to 3 short questions before you start.

## Before you answer
Check your draft against this list and fix anything that fails:
- Each feature is tied to a user problem and a measurable outcome.
- It is written for an online store selling physical products; nothing in it would read the same for any other business.
- Every item under "What to deliver" is included.

Open in ChatGPT Claude Perplexity

How to use this prompt

Copy the prompt. Press Copy prompt and the full text goes to your clipboard.
Fill the brackets. Use the form above, or replace [SIGN-UPS, ACTIVATION, RETENTION, REVENUE DATA], [DETAILS] with your own details.
Paste and send. Paste it into ChatGPT, Claude, Gemini and Microsoft Copilot and send. Ask follow-up questions to refine the answer.

Why use this Analyse product metrics and find growth levers prompt?

This analyse product metrics and find growth levers prompt is written for an online store selling physical products. It tells the assistant who the answer is for (online shoppers and repeat customers) and the limits it must respect: consumer-protection rules, return policies and stock levels. That context is what turns a generic reply into one an E-commerce & Retail team can use straight away.

Most people type a single line and get a generic answer back. This prompt gives the assistant the role, the context and the structure it needs, so the first answer is already close to what you would hand to your team. Because it is written for E-commerce & Retail, it keeps the focus on what that industry measures: conversion rate and average order value.

How to get the best answer

Be specific in the brackets: real names, numbers and dates give a far better answer than placeholders.
Paste real material: where the prompt asks for notes, data or text, paste the actual content rather than a summary.
Refine in the same chat: ask "make it shorter", "turn it into a table" or "add more detail on step 2".
Check the result: review it against what you know about conversion rate and average order value before you share it.

Other industries

Same prompt for other industries

The same analyse product metrics and find growth levers prompt, rewritten for each industry.

FAQ

Frequently asked questions

Which AI assistant works best with this Analyse product metrics and find growth levers prompt?

It works in any chat assistant. It suits ChatGPT, Claude, Gemini and Microsoft Copilot best. Paste it in, send it, and ask follow-up questions in the same chat.

What do I need to replace before sending it?

Replace the 2 highlighted brackets – [SIGN-UPS, ACTIVATION, RETENTION, REVENUE DATA], [DETAILS] – with your own details. The more specific you are, the better the answer.

Is this prompt only for E-commerce & Retail?

This version is written for an online store selling physical products. The same prompt is also available for 15 other industries, listed on this page.

Is it free to use?

Yes. Copy it as often as you like and use it in your own work. No sign-up is needed.

Can I trust the answer?

Treat it as a strong first draft. Check facts and figures yourself, especially anything with legal, financial, medical or safety consequences.

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