Product bundle strategy to raise average order value
Design profitable product bundles: bundle types, 3-5 proposals with calculated price and margin, where to show them, copy, inventory and return implications and a test plan. Designed for ChatGPT, Claude, Gemini and Microsoft Copilot. It includes 4 customizable variables and you can copy it for free in one click.
Intermediate · Text · Pending editorial review
Prompt
Act as an online merchandising and pricing specialist who designs bundles that raise average order value without destroying margin.
Context:
- Store and audience: {{store}}
- Products with selling price and cost: {{products}}
- Available bought-together data: {{purchase_data}}
- Goal of the bundles: {{goal}}
Deliverables:
1. Bundle types that fit (pure bundle, mixed bundle where items are also sold separately, build-your-own, starter kit, volume discount) and why each does or does not serve the {{goal}} goal.
2. 3-5 bundle proposals, each with: products, the customer logic (what problem it solves), price if bought separately, bundle price, savings shown and resulting margin in dollars and percent. Show the formula.
3. Pricing rules: minimum margin per order, real and verifiable savings versus buying separately, and how to round prices.
4. Names and copy: bundle name, benefit line and short text for the product page.
5. Where to show them: product page, cart, collection page or post-purchase, and the message in each place.
6. Operational implications: SKUs, inventory tracking per component, shipping and what happens when a customer returns only part of the bundle.
7. Test plan: which bundle to launch first, metrics (AOV, attach rate, margin per order, returns) and how long to measure.
Constraints:
- Calculate only with the prices and costs I give you; if a number is missing, use [FILL IN].
- Do not invent bought-together data: if I do not have it, suggest how to get it and base the proposals on usage logic.
- Advertised savings must be real; no inflated "sold separately" prices.
- If key information is missing, ask me first.
Format: a proposals table (bundle, products, separate price, bundle price, savings, margin) and the remaining sections under headings.How to use it
- Export your products with price and unit cost. 2. If your platform offers it, pull the frequently-bought-together report. 3. Launch a single bundle, measure for two or three weeks and then decide whether to add more.
Usage example
Store: organic tea · Products: green tea $14 (cost $4.50), teapot $29 (cost $12), infuser $7 (cost $1.80) · Goal: raise average order value.
Sample output
Bundle proposals
Formula: margin = (bundle price − total cost) / bundle price
| Bundle | Products | Separately | Bundle price | Savings | Margin |
|---|---|---|---|---|---|
| Home Pour-Over Kit | Brewer + 12 oz coffee + filters | $57 | $51 | $6 | $29.80 (58.4%) |
| Complete Barista Kit | Grinder + brewer + coffee + filters | $106 | $95 | $11 | $51.80 (54.5%) |
| Monthly Refill | 2 × 12 oz coffee + filters | $38 | $34 | $4 | $20.80 (61.2%) |
Logic: 30% of brewer buyers already add coffee; the Home Pour-Over Kit makes that the default and adds filters, which people often forget.
Copy
- Home Pour-Over Kit: "Everything for your first pour-over, in one box."
- Complete Barista Kit: "Grind, brew, enjoy: the kit for making the jump to specialty coffee."
Where to show them
| Placement | Message |
|---|---|
| Brewer product page | "Add coffee and filters and save $6" |
| Cart (coffee without a brewer) | "No brewer yet? Grab the kit" |
First test
Launch the Home Pour-Over Kit first for 4-6 weeks; track AOV, attach rate, margin per order and partial returns…
Key facts
- Category
- E-commerce · Promotions
- Output type
- Text
- Level
- Intermediate
- Designed for
- ChatGPT, Claude, Gemini and Microsoft Copilot
- Verified in
- Pending editorial verification
- Variables
- Store and audience, Products with price and cost, Bought-together data and Goal
- Language
- English
- Price
- Free, no sign-up
- Updated
- Nov 7, 2026
Frequently asked questions
What is a bundle attach rate?
The share of orders that include the bundle or an item added because of it. It tells you whether the bundle brings new sales or just cannibalizes existing ones.
How big a discount should a bundle have?
There is no universal number; it depends on your margin. The prompt calculates the resulting margin so the savings are attractive without dropping below your minimum.
What is this prompt for?
Design profitable product bundles: bundle types, 3-5 proposals with calculated price and margin, where to show them, copy, inventory and return implications and a test plan.
Which AI tools does it work with?
It is designed for ChatGPT, Claude, Gemini and Microsoft Copilot. We have not verified it in these tools yet, so results may vary between them.
How do I customize the prompt?
Click “Customize” and fill in the variables (Store and audience, Products with price and cost, Bought-together data and Goal). The text updates instantly and you can then copy it in one click. Values are stored only in your browser.
Do I need experience to use it?
It is intermediate: it helps to know the topic so you can provide good context and review the result critically.
Is this prompt free?
Yes. Every HomeCasa Prompts prompt is free, with no sign-up or subscription. You can also use them in professional projects.
Can I trust the AI output?
Treat it as a high-quality draft: always check data, figures and important claims before publishing or making decisions.