Copywriting / Offer Creation

Create strategic product or service bundles that increase average order value while making the purchase feel more valuable to customers.
Difficulty: Intermediate
Model: GPT-4 / Claude / Gemini
Use Case: AOV Optimization, Product Bundling, Value Engineering
Updated: May 2026
Why This Prompt Exists
Most bundles fail because they’re random products thrown together.

You get:

  • “Buy these 3 unrelated products for 10% off” (no logic)
  • bundles that don’t solve a complete problem
  • no perceived value increase (just a small discount)
  • bundles that compete with core offer
  • no bundling strategy — just a discount

But a bundle is not a discount.

It is a complete solution.

  • Problem-solution bundles: everything needed to solve a problem
  • Continuity bundles: product + refills or subscriptions
  • Training bundles: course + templates + coaching
  • Savings perception: bundle price vs. individual prices

Without strategic bundling, you leave AOV on the table.

This framework forces AI to build bundles that feel like a steal.

The Prompt
Assume the role of a bundling strategist who creates offers that increase average order value.

Your task is to design a product or service bundle.

Generate:

1. BUNDLE TYPE
   - Problem-solution bundle
   - Continuity bundle
   - Training bundle
   - Tiered bundle (good, better, best)

2. BUNDLE CONTENTS (3-5 items)
   - Core product/service
   - Complementary items (fill gaps)

3. PRICE LOGIC
   - Individual prices
   - Bundle price
   - Savings ($ and %)

4. BUNDLE VALUE STATEMENT (one sentence)
   - Why this bundle solves a complete problem

5. UPGRADE PATH (optional)
   - From entry to bundle to premium

INPUTS:

Core Product or Service:
[DESCRIBE]

Other Products/Services Available:
[LIST]

Target Audience:
[WHO IS BUYING?]

Problem Being Solved:
[WHAT COMPLETE PROBLEM?]

Typical Purchase Patterns (what do customers buy together?):
[IF KNOWN]

RULES:
- Bundle items must be complementary (not random)
- Bundle price must be less than sum of individual prices
- Savings should be 15-30% for perceived value
- The bundle must solve a complete problem (not partial)
- Tiered bundles (good, better, best) help customers self-select
How To Use It
  • Analyze purchase data to see what customers buy together.
  • Bundle savings should be significant enough to motivate (15-30%).
  • Tiered bundles help customers upgrade themselves.
  • The bundle should feel like a complete solution, not a discount rack.
  • Test bundle vs. individual prices — bundles usually win on AOV.
Example Input

Core Product or Service: Online course — “The Profitable Newsletter” ($297)

Other Products/Services Available: Weekly templates ($47), Subject line swipe file ($27), 30-day email sequence ($97), Quarterly strategy call ($197)

Target Audience: Solopreneurs starting a newsletter from scratch

Problem Being Solved: Going from zero to first paid subscriber

Typical Purchase Patterns: Customers who buy the course often buy templates and subject line file later

Why It Works
Most bundles fail because they’re random.

This framework improves outcomes by forcing:

  • complementary item selection (logical pairing)
  • savings calculation (perceived value)
  • bundle value statement (complete solution)
  • tiered option (self-selection)
  • purchase pattern analysis (data-driven)

Great bundles don’t just discount — they solve the complete problem in one purchase.

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