Use cases  /  Merchandising
Design post-purchase upsell offers that lift AOV — illustration

Design post-purchase upsell offers that lift AOV

Claude finds the product most commonly added after a given purchase, then designs a post-purchase upsell offer: what to offer, at what price, and in what words.

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Works with Shopify · Meta
1

Describe the task

Ask Claude to find the product most commonly added after a given purchase, then design a post-purchase upsell offer: what to offer, at what price, and in what words.

Connect to my Shopify store, look at the last 6 months of orders, and tell me the best post-purchase upsell offer for my top 3 products, with offer copy.

2

What you'll need

  • Your Shopify store connected
  • At least a few months of order history
  • Your post-purchase app or checkout platform, if you want the offer formatted for it
3

What Claude does

  • Pulls order history via the Shopify connector to find common post-purchase add-ons
  • Matches each core product to its best upsell pairing and a margin-safe offer price
  • Writes the offer copy for the post-purchase page: headline, one-line benefit, CTA
  • Flags products with no strong upsell pairing yet, so you're not guessing
What you get

A post-purchase upsell offer for your best-selling products: product pairing, price, and copy, ready to load into your post-purchase app.

Ready to try it?

Open this in Claude and point it at your store. You approve everything before it ships.

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Frequently asked questions

  • How does Claude know what to offer as the upsell? It pulls your order history to find the product most commonly added after a given purchase, so the pairing is based on what customers actually buy, not a guess.
  • Will the price it suggests protect my margin? Yes. Every offer price is checked against your cost data before it's suggested, so it stays margin-safe.
  • What if a product doesn't have a good upsell match yet? Claude flags products with no strong upsell pairing yet, so you know where you're guessing instead of relying on data.