grand-slam-offer

# Grand Slam Offer

Design affiliate offers so good people feel stupid saying no. Uses the Hormozi Value Equation: **Value = Dream Outcome × Perceived Likelihood ÷ Time Delay ÷ Effort & Sacrifice**. Deconstructs why someone should click YOUR link over any other affiliate's.

## Stage

S4: Landing — The offer IS the landing page's job. Before writing HTML or copy, you need an offer framework that makes the conversion inevitable.

## When to Use

- User wants to differentiate their affiliate promotion from every other affiliate
- User asks "why would someone buy through MY link?"
- User is about to create a landing page and needs the offer angle first
- User wants to increase conversion rates on an existing promotion
- User says anything like "offer", "value proposition", "irresistible", "Hormozi"
- User has a product from S1 and wants to craft the positioning before S4 landing page

## Input Schema

```yaml
product:                    # REQUIRED — the affiliate product
  name: string              # Product name
  description: string       # What it does
  reward_value: string      # Commission (e.g., "30% recurring")
  url: string               # Affiliate link URL
  pricing: string           # Product price or pricing page URL
  tags: string[]            # e.g., ["ai", "video", "saas"]

target_audience: string     # OPTIONAL — who you're targeting
                            # Default: inferred from product tags

bonuses: string[]           # OPTIONAL — bonuses you're already offering
                            # Default: none (will suggest bonuses)

competitors: string[]       # OPTIONAL — competing products
                            # Default: auto-researched
```

**Chaining from S1**: If `affiliate-program-search` was run earlier, automatically pick up `recommended_program` as the `product` input.

**Chaining from S1 purple-cow-audit**: If `purple-cow-audit` was run, use `remarkability_score` and `remarkable_angles` to inform the offer.

## Workflow

### Step 1: Gather Context

If product data is available from S1 chaining, use it directly. Otherwise:

1. Use `web_search` to research: `"[product name] features pricing review"`
2. Gather: name, pricing tiers, key features, target audience, top 3 competitors
3. If `target_audience` not provided, infer from product positioning and tags

### Step 2: Apply Value Equation

Read `shared/references/offer-frameworks.md` for the Hormozi framework.

For each component of the Value Equation, score the product 1-10 and identify leverage points:

**Dream Outcome (maximize)**
- What is the #1 transformation the audience wants?
- What does life look like AFTER using this product?
- Frame in terms of identity: "Become the person who..."

**Perceived Likelihood (maximize)**
- What proof exists? (case studies, user count, reviews)
- What specific numbers can you cite?
- What demonstration can you offer? (your own results, screenshots)

**Time Delay (minimize)**
- How fast can they see first results?
- What quick wins does the product offer?
- Can you accelerate with your bonuses? (templates, setup guide)

**Effort & Sacrifice (minimize)**
- What's the learning curve?
- What do they have to give up?
- Can you reduce effort with done-for-you assets?

### Step 3: Design the Offer Stack

Build the complete offer:

1. **Core product** — the affiliate product itself with reframed positioning
2. **Your unique angle** — why YOU are the right person to recommend this
3. **Bonus suggestions** — 3-5 bonuses that address the weakest Value Equation components
4. **Guarantee suggestion** — your personal guarantee on top of the product's
5. **Urgency element** — ethical, real urgency (if applicable)

### Step 4: Write Offer Copy

Create ready-to-use copy blocks:
- **Headline**: One sentence that captures the dream outcome
- **Sub-headline**: Addresses the biggest objection
- **Value stack**: Bullet list of everything they get (product + bonuses + guarantee)
- **CTA**: Action-oriented, specific, urgent

### Step 5: Output

Present the complete Grand Slam Offer framework.

### Step 6: Self-Validation

Before presenting output, verify:

- [ ] Value Equation is complete (all 4 components scored and addressed)
- [ ] Offer is differentiated from a generic "buy through my link" promotion
- [ ] Bonuses are specific and deliverable (not vague promises)
- [ ] Guarantee is realistic and scoped to what YOU can deliver
- [ ] Copy is specific to this product (not generic template fill)
- [ ] FTC-compliant — no income claims, no fake urgency

If any check fails, fix before delivering.

## Output Schema

```yaml
output_schema_version: "1.0.0"
grand_slam_offer:
  product_name: string        # Product being promoted
  value_equation:
    dream_outcome: string     # The transformation promise
    dream_outcome_score: number  # 1-10
    likelihood: string        # Proof points
    likelihood_score: number  # 1-10
    time_delay: string        # Speed to results
    time_delay_score: number  # 1-10 (lower = better, inverted in output)
    effort: string            # Ease of use
    effort_score: number      # 1-10 (lower = better, inverted in output)
    total_value_score: number # Calculated composite

  offer_stack:
    unique_angle: string      # Your differentiator
    bonuses: object[]         # Suggested bonuses
    guarantee: string         # Your personal guarantee
    urgency: string           # Ethical urgency element

  offer_copy:
    headline: string          # Main headline
    sub_headline: string      # Objection-addressing sub-headline
    value_stack: string[]     # Bullet list of everything included
    cta: string               # Call to action text

chain_metadata:
  skill_slug: "grand-slam-offer"
  stage: "landing"
  timestamp: string
  suggested_next:
    - "landing-page-creator"
    - "bonus-stack-builder"
    - "guarantee-generator"
    - "email-drip-sequence"
```

## Output Format

```
## Grand Slam Offer: [Product Name]

### Value Equation Analysis

| Compon