10 AI prompts to audit your Shopify store in 10 minutes

Your AI analyst in 10 minutes

What if you could review your entire Shopify store in the time it takes to make a coffee? With these 10 AI ecommerce prompts, you can perform a complete audit in under 10 minutes, uncover $24,000–$42,000/month in hidden opportunities, and save more than 8 hours per week of manual analysis.

This guide is built for founders and non-technical analysts who want fast, actionable insights — no spreadsheets, no setup. Just copy, paste, and let the AI do the heavy lifting.

How to use the prompts

Before you start, make sure you know which data sources to use and how to give proper context so the AI delivers accurate insights.

1. Recommended data sources

Shopify Analytics: sales, traffic, conversion, and average order value.
Google Analytics / GA4: sessions, channels, and user behavior.
Skymetrics: advanced metrics on products, collections, and profitability.
CSV exports: product sales, inventory, and costs.

2. Context for the AI

Always include:

The analysis period (e.g., “last 30 days”).
Your currency and main market.
Your goal: discover opportunities, losses, or growth patterns.

Example context:

Analyze my Shopify store data from the last 30 days in Spain. I have 120 active products, an average order value of €57, and I want to know which areas to improve to increase profits.

The 10 prompts

Here are 10 ready-to-use prompts. Each includes its goal, required input, and the expected output.

1. Store performance overview

Goal: get a high-level snapshot of your store’s performance. Input: basic metrics (sales, traffic, conversion, AOV, margin). Prompt:

Act as an AI ecommerce analyst. Using these data points, create a concise executive summary highlighting key strengths, weaknesses, and opportunities: [paste your metrics] Expected result: 5-point summary with prioritized quick wins.

2. Product profitability analysis

Goal: spot products that sell well but yield low margins. Input: sales, margin, and acquisition cost per product. Prompt:

Identify products with high sales volume but low net margin. Suggest three actions to improve their profitability (price, bundles, upsells, etc.). Expected result: product list with 3 actionable recommendations each.

3. Conversion by channel

Goal: find which channels drive the most profitable traffic. Input: conversion data by channel (organic, ads, email, social, etc.). Prompt:

Analyze conversion rates per channel and recommend where to reallocate budget for higher ROI. Explain briefly why. Expected result: ROI-ranked table with budget shift recommendations.

4. Collection audit

Goal: optimize product groupings to boost CTR. Input: collection-level data (visits, CTR, conversion). Prompt:

Evaluate the performance of collections and identify which ones could improve via better titles, product order, or SEO. Expected result: 3 collections to optimize with specific improvement ideas.

5. Predict potential bestsellers

Goal: forecast which products are about to take off. Input: 30-day performance (sales, repeat rate, average value). Prompt:

Based on this data, predict the 5 products most likely to become bestsellers next month. Expected result: ranked prediction list with metric-based reasoning.

6. Smart inventory analysis

Goal: prevent stockouts and overstocking. Input: daily sales, current stock, and replenishment time. Prompt:

Identify which products will sell out in under 14 days and which are overstocked. Recommend optimal restock levels. Expected result: ABC matrix with stock alerts and sales forecast.

7. Average order value & bundling

Goal: increase the store’s AOV. Input: current AOV + best-selling products. Prompt:

Suggest product combinations or bundles that could raise the AOV by at least 15%. Expected result: 5 bundle ideas with estimated uplift per combo.

8. Dormant products detection

Goal: revive products with traffic but no conversions. Input: product visits and sales data. Prompt:

Find products with more than 500 visits and 0 sales. Identify likely causes (price, photos, copy) and suggest fixes. Expected result: prioritized list with 24-hour actionable improvements.

9. Profitability by country or region

Goal: optimize marketing geographically. Input: sales, margins, and costs per country. Prompt:

Evaluate profitability per country and recommend where to focus next month’s campaigns. Expected result: ROI ranking by region with an expansion strategy.

10. Retention and repeat purchase audit

Goal: boost repeat customers and retention rate. Input: new vs returning customers + repeat products. Prompt:

Analyze repeat purchase behavior and suggest tactics to increase it (subscriptions, email flows, dynamic discounts). Expected result: retention plan with immediate and 30-day actions.

Quick implementation guide

Insights are useless if not executed. Here’s how to prioritize them effectively:

High impact, low effort → do it now (pricing, bundles, collections).
High impact, medium effort → plan it this week (stock, email flows).
Low impact, high effort → review monthly.

With this method, you can turn 80% of insights into actions in under an hour.

💡 Tip: use Skymetrics Product Analytics and Collection Optimization to apply these improvements directly — no spreadsheets required.

Use the AI Assistant and make decisions 10x faster 🚀

Activate the Skymetrics AI Assistant to automate these audits every week. Instead of manually launching prompts, you’ll get:

Automatic weekly reports.
Opportunity alerts ($24,000–$42,000/month).
Actionable insights — no analyst required.

👉 Start now and make decisions 10x faster.

FAQs

1. Do I need technical skills to use these prompts?

No. Just grab your data (from Shopify, Skymetrics, or a CSV), copy the prompt, and paste it into ChatGPT or your AI analyst.

2. What if my data is incomplete?

AI can still work with partial data, but the more accurate it is, the better the insights.

3. Can I use these prompts outside Shopify?

Yes. They work with any ecommerce platform that provides product, sales, and traffic data.

4. How often should I run this audit?

Ideally once per week to catch quick changes and track performance improvements.

5. What’s the difference between these prompts and the AI Assistant?

Prompts are manual and perfect to get started. The AI Assistant runs them automatically, connects to your data, and prioritizes real growth opportunities for you.