Every client I work with at Wilgot runs a store, and the question that comes up most is what a sale cost to get. Shopify has the orders and revenue, Meta Ads and Google Ads have the spend, GA4 has what shoppers did before checkout, and someone has to pull all three and match them by week. The week after, the same pull needs doing again.
My job there is SEO, but I’m in Shopify, the ad accounts and GA4 most days to understand what is happening around the search work. So I connected them to Windsor.ai and added Windsor to Claude, and I ask for the blended numbers there instead of building them. ChatGPT, Gemini and Perplexity work the same way.
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Already using Claude? Add the Windsor.ai for E-commerce connector directly from the Claude directory. On ChatGPT, Gemini or Perplexity, add Windsor the same way from that assistant’s own connector or app directory. This guide covers analyzing your store’s performance from an AI assistant. Shopify’s own ChatGPT shopping feature, which lets customers buy inside ChatGPT, is a separate product.
Connecting your e-commerce data to your AI assistant with Windsor: 2 steps
Windsor.ai is a single connector that reads from 350+ data sources, including Shopify, Amazon Seller Central, WooCommerce, BigCommerce, Google Merchant Center, GA4 and every major ad platform, and sends it wherever you work. Setup is two steps: connect your sources in Windsor, then add Windsor to your assistant.
Before you start
- A Shopify or Amazon Seller Central account (WooCommerce and BigCommerce also supported)
- A Windsor.ai account (free for the first 30 days to test; paid plans start at $19/month for 3 sources, $99/month for 7)
- A Claude, ChatGPT, Gemini or Perplexity account
Step 1: Connect your store and ad accounts to Windsor
Go to onboard.windsor.ai/app/shopify and sign in to authorize your store. Then add the accounts that give you the full picture:
- Meta Ads and Google Ads, for what you spent to get each sale
- Google Merchant Center, if you run Shopping campaigns
- GA4, for on-site behavior before checkout
- Amazon Seller Central, if you sell there too
The free plan lets you test multiple sources for the first 30 days, then drops to a single source with no credit card required. Keeping every account connected long-term takes a paid plan: $19/month for 3 sources, $99/month for 7, so you’re not stuck re-connecting or losing history as the store grows.
Step 2: Add Windsor to your AI assistant
- Claude: Customize → Connectors → search Windsor → Add
- ChatGPT: install Windsor’s native app from the ChatGPT apps directory
- Gemini and Perplexity: add Windsor from that assistant’s own connector or app directory
Sign in to your Windsor.ai account when prompted, then confirm it works with a simple question: “how many orders did we get last week.”
The numbers I track once it’s connected
| Metric | What it tells you |
|---|---|
| Orders and revenue (Shopify, Amazon Seller Central, WooCommerce, BigCommerce) | What sold |
| Ad spend by platform | What it cost to sell it |
| ROAS / blended ROAS | Revenue divided by total ad spend, per channel or across every connected platform combined |
| Gross margin | Revenue minus cost of goods, before marketing cost |
| Sessions and add-to-cart rate (GA4) | Where shoppers drop off before buying |
| Marketplace sales (Amazon Seller Central) | Revenue outside your own store |
| Refunds and cancellations | How much of that revenue holds |
The reports e-commerce teams run most
These are the questions e-commerce teams ask Windsor most often.
Orders and revenue
- How many orders did we get this week, and what was our total revenue?
- Which products had the highest net sales and units sold this week?
- Flag any week where revenue or ad spend moved outside its normal range.
Customers and channels
- How many of this week’s orders came from new customers versus returning customers?
- Which traffic source drove the most orders and revenue last week?
- Compare our Shopify order revenue to what we spent on Meta Ads and Google Ads this month.
Bonus: analyze e-commerce alongside your full stack
The same Windsor install covers every source I have connected, so one question can cross the store, the ad accounts and GA4. Three I use most:
- “Did the Google Merchant Center campaign we launched last month increase Shopify orders?”
- “Compare GA4 sessions to Shopify conversion rate by traffic source.”
- “Which ad campaign has the best cost per order?”
Conclusion
The cost-per-sale question now gets answered where I already work, with Shopify orders and ad spend matched by week, and the same pull does not need redoing the week after. The Shopify connector is the one to set up first. The ad accounts and GA4 add the cost and on-site sides to it.
Connectors mentioned in this guide
🚀 Ready to get started? Try Windsor.ai free. Free forever plan, no credit card. Paid plans from $19/month.
FAQs
Does Windsor.ai place orders or change my store?
No, for Shopify, WooCommerce and BigCommerce, Windsor reads and analyzes your store data. It doesn’t create or modify orders, products or listings. (Amazon Seller Central is the exception: Windsor supports product-listing update actions there, separate from order data.)
Can I connect more than one sales channel?
Yes. Shopify, Amazon Seller Central, WooCommerce and BigCommerce can all be connected at once, alongside your ad accounts and GA4, so one conversation can cross all of them.
Which e-commerce metrics can I ask about?
Orders, revenue, refunds and product-level sales from your store, gross margin, sessions and add-to-cart behavior from GA4, spend and ROAS from every connected ad platform, and marketplace sales from Amazon.
Is the data live?
Yes. Once a source is connected, Claude (or ChatGPT, Gemini, Perplexity) queries it directly, no manual export or CSV step.


