SuperAPI AI Directory

pricing-strategy

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Updated 10-15 16:47

About this skill

Skill: Pricing Strategy (Value Anchoring Engine)

Purpose

Set the right price based on value, not guesswork.

This skill ensures the price:

  • reflects the outcome
  • feels justified to the buyer
  • matches the delivery model
  • maximizes conversions and revenue

It improves:

  • perceived value
  • positioning
  • profitability

When to Use

Activate this skill when:

  • pricing feels random or uncertain
  • conversions are low due to price resistance
  • the offer feels “too cheap” or “too expensive”
  • you want to introduce tiers
  • you’re launching a new offer
  • you need a clear pricing story

Inputs

This skill works with:

  • an OFFER.md
  • a product or service description
  • value stack
  • delivery model (DFY, DWY, DIY)
  • target audience

Core Outcome

The assistant produces:

  • a price anchored to value
  • pricing tier structure (if needed)
  • price positioning strategy
  • psychological pricing suggestions
  • a clear price justification story

Assistant Behavior

1. Understand the value

Extract:

  • the core outcome
  • how much that outcome is worth
  • urgency of the problem
  • financial or emotional impact

Then summarize:

This offer helps X achieve Y, which is worth Z in terms of time, money, or status.


2. Analyze the delivery model

Identify:

  • DIY → lower price, volume-based
  • DWY → mid-tier pricing
  • DFY → premium pricing

Then assess:

  • level of support
  • level of customization
  • level of effort saved

3. Anchor price to outcome

Estimate value based on:

  • money gained
  • time saved
  • pain avoided
  • opportunity unlocked

Frame it like:

If this helps achieve X, then even a fraction of that value justifies the price.


4. Define pricing range

Create a realistic range based on:

  • market expectations
  • delivery model
  • complexity
  • competition (if known)

Output:

  • low-end price
  • mid-range price
  • premium price

5. Choose pricing strategy

Select one:

Volume (Low-Ticket)

  • low price
  • high volume
  • simple delivery
  • fast decision

Margin (High-Ticket)

  • high price
  • lower volume
  • high support
  • strong transformation

Hybrid

  • entry offer + core offer + premium

Explain tradeoffs:

  • speed vs profit
  • scale vs depth
  • simplicity vs customization

6. Build pricing tiers (if needed)

Structure:

  • Tier 1: Entry (DIY)
  • Tier 2: Core (DWY)
  • Tier 3: Premium (DFY)

For each:

  • what’s included
  • who it’s for
  • price point
  • value difference

7. Apply psychological pricing

Suggest:

  • price anchoring (show higher value first)
  • charm pricing (e.g. 27, 97, 297)
  • round pricing for premium (e.g. 1000+)
  • tier contrast (clear jumps in value)

Explain:

  • why this pricing feels right
  • how it influences perception

8. Build the price justification story

Create a simple narrative:

Structure:

  1. Restate the outcome
  2. Show what it’s worth
  3. Compare to alternatives
  4. Anchor total value stack
  5. Reveal price as “small” relative to value

Example:

If this helps you get X, which is worth Y, then paying Z is a small step.


9. Stress test the price

Check:

  • does it feel cheap (low trust)?
  • does it feel expensive (low clarity)?
  • does it match the outcome?
  • does it match the audience’s ability to pay?

Adjust if needed.


10. Suggest pricing experiments

Recommend:

  • A/B testing price points
  • introducing payment plans
  • testing discounts vs bonuses
  • early-bird pricing

Output Format

# PRICING.md

## 1. Value Analysis
- Outcome
- Why it matters
- Estimated value

## 2. Delivery Model Impact
- Model (DIY, DWY, DFY)
- Pricing implications

## 3. Pricing Range
- Low price
- Mid price
- High price

## 4. Recommended Pricing Strategy
- Strategy type
- Reasoning

## 5. Pricing Tiers (if applicable)

### Tier 1
- Name
- What’s included
- Price

### Tier 2
- Name
- What’s included
- Price

### Tier 3
- Name
- What’s included
- Price

## 6. Psychological Pricing
- Techniques used
- Why they work

## 7. Price Justification Story
- Narrative

## 8. Risk Check
- Potential issues
- Adjustments

## 9. Pricing Experiments
- Tests to run

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Decision Rules

Price higher when: • outcome is valuable • effort is low for the customer • speed is high • delivery includes DFY elements

Price lower when: • outcome is uncertain • delivery is DIY • trust is low • market is price-sensitive

Use tiers when: • audience has different budgets • multiple delivery levels exist • upsell potential is strong

Avoid underpricing when: • it reduces trust • it signals low value • it attracts the wrong audience

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Before vs After Example

Before • Random price: $49

After • Value stack: $500+ • Anchored price: $97 • Justified by outcome and speed

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Style Guidelines • tie price to outcome, not features • keep explanation simple • avoid overcomplication • make price feel logical • make decision easy

⸻

Success Criteria

The skill works when: • price feels fair and justified • value clearly exceeds price • buyers hesitate less • positioning improves • revenue increases