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What the MCP returns at this step

12 · Business · Offer Design

Service Productization

Turn repeatable service work into defined packages, an offer ladder and optional upgrade paths. Use Offer Delivery Design when only the fulfillment format is undecided.

productizationofferstiersproduktisierungangebotstreppe

Hormozi Productization & Offer Ladder · Original SKILL.md

---
name: productize
description: Turn services into scalable products and build an offer ladder with upsells and downsells. Use when income depends on time, you want leveraged or recurring revenue, or you want multiple price points. Covers service productization, offer ladder (entry/core/premium), and upsell/downsell design — outputs PRODUCTIZATION.md, OFFER_LADDER.md, REVENUE_FLOW.md.
---

# Skill: Productization & Scaling System (Hormozi-Style)

## Purpose
Turn skills and services into scalable offers, then organize them into a system that maximizes revenue per customer.

This skill:
- transforms time-based work into leveraged products
- builds an offer ecosystem (ladder)
- increases lifetime value through upsells and downsells

Goal: make more money from the same customer with less effort over time.

---

## When to Use
Activate this skill when:
- you sell services and want to scale
- income depends on your time
- you want recurring or leveraged revenue
- you want multiple price points
- you want to increase revenue per customer

---

## Inputs
This skill works with:
- an `OFFER.md`
- a service or consulting business
- a program or course
- an existing offer stack
- target audience

---

# PART 1: Service → Product Skill

## Purpose
Turn services into scalable, repeatable offers.

---

## Core Idea
Move from:
- time-based → system-based
- custom → standardized
- manual → repeatable

---

## Assistant Behavior

### 1. Analyze current service
Identify:
- what is being done
- how it is delivered
- how much customization exists
- where time is spent

---

### 2. Extract repeatable components
Find:
- steps that repeat
- frameworks used
- templates already created
- common problems solved

---

### 3. Standardize the process
Turn:
- custom work → defined steps
- loose delivery → structured system

Example:
- “I help clients grow” → “3-step growth system”

---

### 4. Choose product format

Options:

#### Program (DWY)
- structured guidance
- calls + support
- repeatable delivery

#### Course (DIY)
- self-paced
- content-based
- scalable

#### Toolkit / Product
- templates
- systems
- assets

---

### 5. Decide level of involvement
Choose:
- DIY → lowest involvement
- DWY → medium involvement
- DFY → highest involvement

---

### 6. Build productized version
Define:
- clear outcome
- step-by-step system
- delivery format
- support level

---

### 7. Simplify and remove complexity
Ensure:
- fewer steps
- clear path
- easy onboarding

---

## Output Format

```md
# PRODUCTIZATION.md

## 1. Current Service
- What is offered
- How it is delivered

## 2. Repeatable Components
- Steps
- Frameworks
- Templates

## 3. Productized System
- Name
- Steps
- Outcome

## 4. Product Format
- Type (course, program, toolkit)

## 5. Delivery Model
- DIY / DWY / DFY

## 6. Final Product Offer
- Description
- Structure
```

⸻

PART 2: Offer Ladder Builder

Purpose

Create a structured ecosystem of offers at different price points.

⸻

Core Idea

Capture value at every stage:
• low commitment → entry
• core transformation → main offer
• high value → premium

⸻

Assistant Behavior

1. Define customer journey

Identify:
• beginner stage
• intermediate stage
• advanced stage

⸻

2. Build 3 levels

Entry Offer
• low price
• fast result
• low risk
• attracts audience

Examples:
• templates
• mini-products
• low-ticket offers

⸻

Core Offer
• main transformation
• highest volume
• balanced price/value

Examples:
• programs
• courses
• memberships

⸻

Premium Offer
• highest value
• most support
• fastest results

Examples:
• DFY service
• consulting
• high-ticket program

⸻

3. Align offers

Ensure:
• each level leads to the next
• outcomes connect logically
• no overlap or confusion

⸻

4. Optimize positioning

Each offer must:
• have a clear purpose
• target a specific need
• justify its price

⸻

Output Format

```md
# OFFER_LADDER.md

## 1. Customer Journey
- Beginner
- Intermediate
- Advanced

## 2. Entry Offer
- Name
- Price
- Outcome
- Format

## 3. Core Offer
- Name
- Price
- Outcome
- Format

## 4. Premium Offer
- Name
- Price
- Outcome
- Format

## 5. Ladder Flow
- How customers move between offers
```

⸻

PART 3: Upsell / Downsell Skill

Purpose

Increase revenue per customer.

⸻

Core Idea

A customer who buys once is most likely to buy again.

Maximize:
• average order value
• lifetime value

⸻

Assistant Behavior

1. Identify purchase moment

Find:
• where user buys
• what they buy first

⸻

2. Design upsells

Upsell = higher value offer

Types:
• upgrade
• more support
• faster results
• DFY version

Examples:
• course → program
• program → consulting

⸻

3. Design downsells

Downsell = lower barrier offer

Used when:
• user hesitates
• user declines

Examples:
• payment plan
• lighter version
• smaller product

⸻

4. Align with intent

Ensure:
• upsell feels natural
• downsell feels helpful, not desperate

⸻

5. Keep it simple

Rules:
• 1–2 upsells max
• 1 downsell option
• clear difference in value

⸻

6. Increase perceived value

Upsells should:
• feel like a logical upgrade
• reduce effort or time
• increase success rate

⸻

Output Format

```md
# REVENUE_FLOW.md

## 1. Entry Point
- First purchase

## 2. Upsell Options

### Upsell 1
- Offer
- Why it fits
- Price

### Upsell 2
- Offer
- Why it fits
- Price

## 3. Downsell Options

### Downsell 1
- Offer
- Why it fits
- Price

## 4. Flow Logic
- When upsell appears
- When downsell appears

## 5. Value Increase Strategy
- How revenue per customer increases
```

⸻

Decision Rules

Productize when:
• work repeats
• time is the bottleneck
• demand exists

Build ladder when:
• audience has different budgets
• multiple needs exist
• scaling is the goal

Add upsells when:
• user already trusts you
• higher value can be delivered

Add downsells when:
• price blocks purchase
• simpler option still provides value

⸻

Style Guidelines
• keep structure simple
• align with real customer journey
• prioritize clarity over complexity
• focus on value at each step

⸻

Success Criteria

The skill works when:
• services become scalable
• offers are clearly structured
• customers have multiple entry points
• revenue per customer increases
• business scales beyond time constraints

When to use

Turn repeatable service work into defined packages, an offer ladder and optional upgrade paths. Use Offer Delivery Design when only the fulfillment format is undecided.

What you get

The structured plan or review specified in the original, with evidence and open questions.

How it works

Confirm task inputs, follow the source workflow and apply the explicit M11 qualifications below.

Requirements

Current service workflow, customer needs, support effort, costs and existing offers.

Delivery and review notes

Recurring and repeat-purchase revenue is a hypothesis until supported by demand and retention evidence. Premium does not inherently mean fastest or best. Preserve accessibility and cancellation choices; optional upgrades must be explicit and genuinely useful. Check margins, capacity and support before suggesting prices or scale.

Starting prompt

Use Service Productization for [BUSINESS/TASK]. Ask for missing inputs: Current service workflow, customer needs, support effort, costs and existing offers. Return the source output format and label evidence, assumptions and validation steps. Recurring and repeat-purchase revenue is a hypothesis until supported by demand and retention evidence. Premium does not inherently mean fastest or best. Preserve accessibility and cancellation choices; optional upgrades must be explicit and genuinely useful. Check margins, capacity and support before suggesting prices or scale.

Not for

Automatic upselling, hidden recurring charges or assuming standardization removes delivery costs.

What M11 added

M11 added task routing, German terms, scope and evidence requirements while preserving original authorship. Recurring and repeat-purchase revenue is a hypothesis until supported by demand and retention evidence. Premium does not inherently mean fastest or best. Preserve accessibility and cancellation choices; optional upgrades must be explicit and genuinely useful. Check margins, capacity and support before suggesting prices or scale.

Original authorship remains with alexsmedile/hormozi-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 Alessandro Smedile

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 510fd26ee14d07f1a8e95f53f59ef3e240348b62b49f0d47cf5c07d8f96400c5
Snapshot checked: 2026-09-28T15:02:41.083Z

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