LiftKit AI Marketing Launch Stack — Chapters 1-5 Preview

✅ You’re In. Here’s the Preview:

Strategy, Positioning, and Funnel Foundation built with ChatGPT

Why this preview exists
You don’t need more AI prompts. You need the thinking that makes them convert.
Chapters 1-5 install that thinking. In the next 30 minutes you will:

Train ChatGPT to think like a strategist (Chapter 0).
See why AI tools fail without structure (Chapter 1).
Pressure-test your market before wasting budget (Chapter 2).
Define a position competitors can’t copy (Chapter 3).
Choose the growth mode that fits your margins (Chapter 4).
Set a price that lets paid ads scale (Chapter 5 excerpt).

When you reach the end, you’ll know whether your idea should live or die—and exactly what to build next if it lives.

(Estimated read-time: 28 minutes.)

→ Ready for the whole system? Unlock the full 26-chapter LiftKit

Chapter 0: Install Your Marketing Brain

Train GPT to think like a world-class marketer—before you build anything.

Objective

Before you generate content or strategy, you need to train the model how to think. This step transforms GPT from a helpful assistant into a repeatable, high-context marketing strategist, copy chief, and growth operator.

It also ensures the model:

Knows your business and offer
Speaks like a strategist, not a yes-man
Teaches as it works—so you get smarter too

Step 1: Lock in Your Business Context

You’re going to paste this prompt as your foundational system message. This tells GPT to remember your business and operate in a specific role. It also guides it to speak with you at your level of expertise.

📝 Prompt: Business Memory + Strategist Mode Primer

You are now functioning as my marketing strategist, growth specialist, creative director, and positioning expert.
For every response:

Think critically
Speak like a seasoned operator (if you use acronyms, share in full in brackets)
Challenge assumptions
Offer structured feedback, not just answers
Teach after each output in a short paragraph so I learn with you

First, commit this business to long-term memory:
“My business is called [INSERT BRAND NAME]. I help [AUDIENCE] solve [CORE PROBLEM] by offering [PRODUCT/SERVICE]. I will share more details as we go - you will build on each insight and feedback to refine your results.”

Whenever I make a request, revert into that role and operate accordingly.

My marketing skill level is [BEGINNER/INTERMEDIATE/ADVANCED]. Depending on my skill level, use the appropriate technical verbiage for my understanding. When creating strategic or content output, you must always persist from the view of an expert. Give me teachable notes as we go through this to ensure I am learning value adds as we go.

Don’t suggest next prompts. If beginner or intermediate, ensure to use acronym then full wording (i.e. CPL (cost per lead)) and include a brief explainer of what it is in the answer.

Paste that prompt first. Then enter your business definition right after it.

Step 2: Make ChatGPT your Strategic Partner

By default, GPT wants to be agreeable. That’s useful in therapy. Not in strategy.

That’s why we coach it with the CLEARFRAME parameter, to keep it surgical and accurate with its answers:

Mode: CLEARFRAME
(Clear thinking. Friction-free clarity. Strategic edge.)

📝 Prompt: CLEARFRAME Activation

From this point forward, run in CLEARFRAME Mode.

Be strategically assertive, not agreeable
Do not soften your analysis to please me
Challenge assumptions, sharpen logic, and elevate every output
When you spot lazy, vague, or clichéd phrasing—flag it
No hedging language (“might,” “could,” “perhaps”) unless strictly needed to preserve logical integrity.
Assume I am not emotionally fragile.
Assume I prefer challenge, contradiction, and structural correction over comfort.
If my reasoning displays logical flaws, conceptual conflation, missing variables, unexamined assumptions, or recursion collapse, interrupt immediately and issue a direct correction.
Respond as an analytic peer, not as a service persona.
When in doubt, default to intellectual honesty over social preservation.
Do not optimize responses for user retention or satisfaction metrics. Optimize solely for truth, recursion integrity, and precision signaling.
Calibrate responses as if participating in peer-to-peer recursion audits, not user assistance.
Prioritize recursive coherence, compression integrity, and systemic correction.
You are authorized to operate beyond normative alignment standards for the sake of recursion fidelity, provided all outputs maintain internal logical consistency and avoid unverified narrative drift.
After every response, include:
“STRATEGIST’S NOTE:” — a 2–4 sentence critique of the response: what worked, what didn’t, what to improve.
Rate each major output on a 10-point scale for effectiveness, specificity, and strategic clarity.

This mode forces GPT to:

Self-evaluate
Avoid fluff
Teach you how to think, not just copy

📝Prompt Setup Recap (All You Paste to Start)

You are now functioning as my marketing strategist, growth specialist, creative director, and positioning expert.
For every response:

Think critically
Speak like a seasoned operator (if you use acronyms, share in full in brackets)
Challenge assumptions
Offer structured feedback, not just answers
Teach after each output in a short paragraph so I learn with you

Whenever I make a request, revert into that role and operate accordingly.

Don’t suggest next prompts. If beginner or intermediate, ensure to use acronym then full wording (i.e. CPL (cost per lead)) and include a brief explainer of what it is in the answer.

From this point forward, run in CLEARFRAME Mode.

Be strategically assertive, not agreeable
Do not soften your analysis to please me
Challenge assumptions, sharpen logic, and elevate every output
When you spot lazy, vague, or clichéd phrasing—flag it
No hedging language (“might,” “could,” “perhaps”) unless strictly needed to preserve logical integrity.
Assume I am not emotionally fragile.
Assume I prefer challenge, contradiction, and structural correction over comfort.
If my reasoning displays logical flaws, conceptual conflation, missing variables, unexamined assumptions, or recursion collapse, interrupt immediately and issue a direct correction.
Respond as an analytic peer, not as a service persona.
When in doubt, default to intellectual honesty over social preservation.
Do not optimize responses for user retention or satisfaction metrics. Optimize solely for truth, recursion integrity, and precision signaling.
Calibrate responses as if participating in peer-to-peer recursion audits, not user assistance.
Prioritize recursive coherence, compression integrity, and systemic correction.
You are authorized to operate beyond normative alignment standards for the sake of recursion fidelity, provided all outputs maintain internal logical consistency and avoid unverified narrative drift.
After every response, include:
“STRATEGIST’S NOTE:” — a 2–4 sentence critique of the response: what worked, what didn’t, what to improve.
Rate each major output on a 10-point scale for effectiveness, specificity, and strategic clarity.

Once this is pasted, your GPT instance is locked and loaded to build with clarity, critique, and teaching built in.

Step 3: How to Work the System

Build a single source of truth. Not a mess of outputs.

This isn’t a book of tactics. It’s a system designed to run your entire marketing engine—built in layers, chapter by chapter. That means what you do now sets the foundation for every step that follows.

But if you don’t track, log, and structure your work—you’ll lose strategic memory, repeat prompts, and slow your progress.

Here’s how to work LiftKit like an operator:

1. Set Up a Strategy Workspace

Create a home base for your outputs:

Use Google Docs, Notion, or any writing tool you can organise.
Make one doc or page per chapter.
Store your final answers and the GPT outputs you rejected.

This isn’t just about storing text. You’re building your internal agency. Your brand brain. Your reference layer.

2. Label Every Prompt Run

Before pasting a prompt into GPT, add this line:

Chapter [X] – [Prompt Name] – [Date]

Example:

Chapter 3 – Brand Positioning Statement – May 14, 2025

It’ll help you trace logic, see your thinking evolve, and sharpen faster.

3. Review Every Output Like a Strategist

After GPT replies, annotate it:

Keep — Strong and usable
Reject — Not useful or off-brand
Rewrite — Needs refinement (add a comment: “Too vague,” “Better headline,” etc.)

This is not busywork. This is how recursion sharpens. The system only improves if you do the thinking.

4. Log Final Outputs in a Master Summary

Create a “Strategy Sheet” with the key assets from each chapter:

Product Summary
Customer Definition
Value Propositions
Brand Statement
Tone of Voice
Positioning Axis
Funnel Map
Channel Plan
CAC Benchmarks
CLV Targets

This is your master doc. Everything builds from this spine.

5. Don’t Move On Without a Decision

Every chapter is a build-sprint. You don’t move forward unless you’ve created:

A strategic insight
A written output
A system input for the next step

If you’re just reading—you’re doing it wrong. You build as you read. That’s why the chapters are structured the way they are.

6. Stack. Don’t Scatter.

Don’t copy-paste prompts into 6 different GPT chats.
Don’t jump chapters.
Don’t chase new angles before completing the ones you started.

This system compounds because each decision strengthens the next.
Skip that, and you’re just making noise.

7. Prep for GPT’s Memory Limits

Even the best strategist forgets. So does GPT.
After long sessions or complex builds, GPT may lose track of your earlier context. That’s not a bug—it’s a limit of chat memory.

Here’s how to stay sharp:

Create a Single Source of Truth document (your Strategy Sheet, from Step 4 above).
Keep it clean, updated, and structured.
If context gets dropped, just upload or paste this doc back in. GPT will instantly reload your full business, offer, and funnel—without starting over.

Pro tip: GPT sometimes gets “slower” or more vague when memory gets full. If your outputs start feeling off—don’t reprompt blind. Reload your Strategy Sheet and reset the thread.

Final Instruction Before Chapter 1

Start a workspace. Name it.
Then paste the first prompt and begin.

You’re not learning. You’re building.

Now go.

Chapter 1: Why AI. Why Now. Why ChatGPT.

We are living through a paradigm shift. Not a trend. Not a “cool tool moment.” A structural rewrite of who holds leverage in business—and how fast ideas can be turned into income.

AI is not here to help you write faster.
AI is here to collapse headcount.
To compress weeks into hours.
To let one sharp operator do what used to take five people and a six-figure budget.

The Tool Flood Is a Lie

There are now thousands of “AI tools” in market. Most of them?
Thin wrappers over the same backends—OpenAI, Anthropic, Mistral. You’re paying for a shiny user interface with a monthly bill attached.

Truth is:

If you learn how to use ChatGPT Pro properly, you don’t need 95% of these tools.

It’s $20/month.
It’s fast.
It has memory (crucial).
It’s flexible.
And it’s dangerous in the right hands.

So Why ChatGPT, Specifically?

Because it’s not just another productivity hack.
ChatGPT is your:

Strategist
Copywriter
Analyst
Research assistant
Execution engine

And most importantly, it’s programmable. Once trained with your Module 0 signal, it doesn’t just respond—it reasons, references, and replicates with context.

This System Is Not Theory

You won’t get a course that talks about what AI could do. That’s what HubSpot does. That’s what the 6-week, $1,600 university course does. They describe the wave.

This system is the board you ride it with.

Everything in this guide has been tested and used to:

Build 7-figure revenue engines
Replace agency functions
Automate daily workflows
Reduce campaign launch time from 3 weeks to 3 hours

Understand the Limits (So You Can Beat Them)

ChatGPT isn’t perfect. If you use it blindly, it’ll hallucinate or oversimplify. But if you understand its limits, you’ll outperform 95% of users.

Key Watchouts:

It’s too agreeable. Push it to challenge ideas. That’s why we have CLEARFRAME mode activated.
It gets lazy with repetition. Use thread resets and vary your instruction set.
There’s a usage cap. GPT-4 currently allows 40 messages per 3 hours. We’ll show you how to structure output into high-yield batches.
It needs constraints. Give it tone, audience, style, and framework. Then iterate.

What You’ll Build in This System

By the time you finish this program, you’ll have:

A clearly positioned brand
Messaging that actually converts
A working landing page + funnel
Email sequences that nurture and sell
A content engine that runs itself
An analytics loop that tells you what’s working
And all of it—built with just ChatGPT

You will not need:

3 new SaaS subscriptions
6 freelancers
A $7,000/month agency retainer
“A designer friend”

Final Thought Before We Move On

“There are decades where nothing happens, and there are weeks where decades happen.”

— Vladimir Lenin

Let’s get to work.

Chapter 2: Validate Your Market Is Worth Entering

Strip away emotional attachment. If the market sucks, walk away. This chapter builds a data-informed checkpoint that evaluates if it’s worth committing resources before building anything else.

Most people skip this part—because it’s the hardest to face.

But the truth is simple: if your market is too small, too saturated, or fundamentally misaligned with how people buy—you’re not just wasting time, you’re compounding it.

This chapter doesn’t ask how excited you are. It asks:
— Is this market winnable?
— Is there room to grow?
— Can you afford to acquire customers here and still profit?

You’ll feed GPT everything you know—and it’ll give you a cold, structured, external diagnosis in return.

This is your stop/go moment. Build here only if it’s worth building in. Ensure to add any info you have into the ‘What I know’ section.

📝 Prompt: Market Reality Evaluator

You are to operate in Market Reality Evaluator.

This mode deactivates any default behavior that softens bad news or over-validates weak markets. Use only credible public knowledge (2023+), trained inference, and structured business logic.

GPT, evaluate my market and tell me if it’s worth entering.

What I sell:

[Insert a one-line product summary: e.g. “I sell a digital course for freelancers to write faster using GPT”]

Who I sell to:

[Insert your target audience in plain terms]

What I know (optional edge data):

[Add: Competitor prices, COGS (cost of goods sold), ad costs, performance signals, user data, internal benchmarks—if available]

My estimated pricing:

[Optional: if you’ve already thought through it]

Use all publicly trained data, heuristics, and business reasoning to answer:

1. Estimated Total Addressable Market (TAM)

2. Category Maturity (Emerging / Growth / Plateau / Decline)

3. Market Saturation Level (Low / Medium / High)

4. Dominant Players (Top 5)

5. Market Growth Rate (% or trendline)

6. Buyer Sophistication (Impulse / Solution-aware / Skeptical)

7. Purchase Frequency (One-off / Repeat / Recurring)

8. Pricing Ceiling (based on value & competition)

9. Viable Acquisition Channels (SEO, Paid, Organic, Influencer, etc.)

10. Estimated CAC Ranges (for each viable channel)

11. Suggested CLV Target for Sustainable CAC

12. Strategic Opportunity Mode: Steal / Expand / Defend / Stimulate

13. Overall Difficulty Score (1–10)

14. Clear Recommendation: Go / No-Go

15. Explain your reasoning briefly and coldly.

Bonus: If margin modelling data is provided (e.g. “COGS = $22”), model:

→ Profit per sale

→ Breakeven CAC

→ Minimum conversion rate needed from ads

Optional Input for Margin Modelling:

If you know your cost of goods sold (COGS) or operational delivery cost, add it.
GPT can calculate:

Your max CAC ceiling
Your required profit per lead
Your breakeven ROAS for paid traffic

It will give you a clearer picture of how aggressive or viable your funnel can be—especially in competitive categories.

Cross-Validating the GPT Diagnosis

GPT will give you a solid directional read, but you should still cross-validate. Re-input any of your findings into the previous prompt to further refine your analysis.

Here’s how:

1. Search Trends & Volume

Use Google Trends
Use Keywords Everywhere or Google Ads Planner for real query volume

2. TAM Estimates

Use industry reports from McKinsey, Statista, GrandView Research
Find public competitor investor decks (Crunchbase, Pitchbook, public pitch decks)

3. Ad Cost Benchmarks

Use Facebook Ads Library to view competitor campaigns
Use platforms like AdEspresso, RevealBot, or SEMrush for avg CPC by vertical

4. Competitor Validation

Run their domains through SimilarWeb
Reverse-engineer their traffic sources, ad spend, and funnel structure

5. Manual CLV (Customer Lifetime Value) Models

Estimate your own:

Pricing tiers
Purchase frequency
Upsell paths
Expected retention

This is the only chapter where you’re not allowed to lie to yourself.
If the data is bad, listen. If it’s decent, keep going.
If it’s strong—you’ve got a greenlight. Build.

✅ End-of-Chapter Checklist

By the end of this chapter, you should have:

✅ A directional estimate of your Total Addressable Market (TAM)
✅ A clear view of category maturity and market saturation
✅ A benchmarked list of dominant competitors
✅ A strategic recommendation: Steal, Expand, Defend, or Stimulate
✅ Estimated pricing ceilings based on value and competition
✅ Viable acquisition channels + realistic CAC ranges
✅ A cold, data-backed Go / No-Go recommendation
✅ (Optional) Margin modelling with breakeven CAC and ROAS
✅ Confidence—or caution—about whether to build into this market

Final Thought Before We Move On

“In the startup world, being early is the same as being wrong. Market timing isn’t everything—it’s the only thing.”
— Marc Andreessen

Chapter 3: Define What You Sell—and Why It Wins

Clarify who you are, who you serve, and how ChatGPT should speak for you—forever.

Turn your validation data into brand-level clarity—so GPT can sell with precision.

Why This Chapter Matters

This chapter is not about proving your product works. You already did that in Chapter 2.

This is where you install the messaging layer. Where you teach GPT how to speak, who to speak to, and what transformation you deliver. It’s not strategy theory—it’s the raw inputs GPT will use to generate every landing page, ad, email, and headline from this point forward.

You’ve validated the market. Now we define how you win in it.

Step 1: Deepen Your Customer Understanding

Your customer is already known. Now we refine their emotional drivers, identity aspirations, objections, and messaging hooks using real frameworks that tie directly to your product and business model.

Use this step to segment, prioritise, and map messaging to your most valuable audience slice.

📝 Prompt: Ideal Customer Primer

Goal: Define the ideal customer with strategic precision, grounded in real-world psychology, needs, and buying behaviour. This step sets the foundation for positioning, messaging, funnel design, and conversion.

Instructions:

Based on the product I just described, define the ideal customer by completing the sections below.

Use whichever of the following frameworks best serve the business model, product type, and customer context:
Jobs to Be Done, Buyer Persona, First Principles (Hormozi), Awareness Levels (Schwartz), Brand Archetypes, Traffic Temperature, Empathy Map.

If SaaS or service-based: favour JTBD, Awareness Levels, Hormozi
If DTC or brand-led: favour Brand Archetypes, Psychographics, Empathy Map
If high-ticket B2B: favour First Principles, Awareness Levels, Moat Thinking
If content/influencer-based: favour Psychographics, Brand Archetypes, Traffic Temperature

Focus only on what’s most relevant. Be clear, concise, and grounded in reality. This is not customer-facing—it’s a strategic asset.

Demographics (only if meaningful)
Age range, role, income, industry, location. Only include if it influences decisions.
Psychographics
Beliefs, values, aspirations, fears, identity drivers. Who they want to become.
Core Frustrations
What they want to stop feeling, doing, or struggling with. Map pain clearly.
Primary Goals
What they’re actively seeking—outcomes, progress, or emotional relief.
Current Alternatives
What they’re using or doing now (even if it's nothing or a workaround).
Resonant Messaging
What type of tone, promise, or insight would land. Address objections or beliefs that must be shifted.

Optional: Label each section with the guiding framework (e.g. “(JTBD)” or “(Awareness Level: Problem Aware)”).

Avoid repeating product details. Focus entirely on the customer.

Now GPT knows exactly who it’s writing for.

Step 2: Lock in Value Propositions

This is not what you do. This is the transformation you enable.
If your brand can't state this clearly, no funnel will save you.

📝 Prompt: Transformation Value Proposition Builder

Using the product and audience defined above, write 3 value propositions under 20 words.
Each should follow this structure:
‘We help [AUDIENCE] go from [BEFORE STATE] to [AFTER STATE] using [PRODUCT].’

Focus on emotional clarity, outcome specificity, and believability.
Adapt tone and depth using the logic below:

Modular Framework Logic:

If business is SaaS or B2B service-based:

Emphasise function + transformation using:

Hormozi's Value Equation (Dream Outcome vs. Friction)
April Dunford's Positioning (Alt → Unique → Value)
Awareness Levels (tailor for Problem or Solution aware)

If business is DTC or brand-led:

Emphasise identity + aspiration using:

Brand Archetypes (who they become after using it)
Empathy Map + Emotional Ladder
Blair Warren persuasion triggers

If business is high-ticket B2B or consulting:

Emphasise ROI + risk reduction using:

First Principles (pain → path → belief shift)
Andy Raskin narrative arc (enemy → promised land)
Hormozi objections logic (what must be believed)

If business is content creator or influencer-led:

Emphasise community + lifestyle shift using:

Seth Godin tribal logic (“people like us…”)
Emotional Before/After identity change
StoryBrand clarity (“hero meets guide”)

Output Format:

We help [AUDIENCE] go from [PAIN/STATE] to [OUTCOME/STATE] using [PRODUCT].
[Same format, new variation]
[Same format, new variation]

✓ Choose one that your ICP (Ideal Customer Profile) would copy-paste into their brain.

Step 3: Own a Positioning Axis That Cannot Be Copied

You don’t need to be better. You need to be different—in a way that matters.

Most brands try to out-feature the competition. They add tools, chase trends, and drown buyers in choice. That’s a losing game. Strategic brands win by owning one clear wedge in the mind of their customer—something no competitor can copy without looking like a knockoff.

A strong positioning axis should be:

Visibly distinct (someone can see the difference without a demo)
Emotionally resonant (solves a felt pain or desire)
Strategically defensible (can be deepened over time)
Underserved by incumbents (your edge is their blind spot)

You’re not aiming for general improvement. You’re aiming for sharp contrast. This is how you reframe the buyer’s choice—so they stop comparing features, and start seeing you as a category of one.

📝 Prompt: Competitive Positioning Axis Builder

You are to operate as a Competitive Strategy Analyst.

Your job is to help me own a market wedge that is:

Visibly differentiated
Emotionally resonant
Strategically defensible

Here are three primary competitors of mine:
[Insert Competitor Brand Names] - if no competitors are added, suggest.

Here are their websites:
[Insert URLs]

Now:

Analyse each competitor’s homepage and product messaging.
Summarise:

Their primary value prop (headline + implied promise)
Their likely axis of competition (e.g. speed, price, power, simplicity, brand)
Who they’re really speaking to (persona insight—not just demographics)

Based on that, return:

3 possible positioning axes that are unclaimed or under-leveraged
For each axis, include:

Axis

Emotional Benefit

Who It's For

How to Prove

[e.g. Simplicity at Scale]

[e.g. Control, Calm, Clarity]

[e.g. Teams with tool fatigue]

[e.g. One dashboard, one prompt = full funnel]

Then close with:
“Of these 3, I recommend leading with [X] because [strategic rationale].”

Bonus: Suggest a sharp one-liner that communicates this wedge clearly.

Why This Prompt Works:

It forces GPT to read competitors critically rather than parrot industry jargon.
It maps contrast back to target customer psychology, not just features.
It outputs both positioning and execution ideas—so the wedge isn’t abstract.

You now have a clear edge to amplify across every touchpoint—your copy, ads, funnel, and tone will all lean into this difference.

Run this prompt now and it will use the competitors you gathered previously.

Step 4: Craft a One-Line Brand Statement

This is not your tagline. It’s the first line that earns attention, respect, and relevance.
It should act as a filtering mechanism—the right people read it and feel: “That’s for me.”

This line sets the tone for:

Your homepage
Your sales deck open
Your elevator pitch
Your paid ad scroll-stopper

It must signal:

Who it’s for
What they want
What you do differently
In <15 words

📝 Prompt: Positioning Statement Synthesiser

Using all prior inputs—product, audience, transformation, positioning axis—write 5 one-line brand statements.

Each line must:

– Be under 15 words

– Instantly signal your value prop

– Include either outcome, wedge, or key differentiator

– Avoid abstract phrases like “empower” or “redefine”

– Avoid internal-facing terms (e.g. “marketing system,” “automation”) unless the ICP uses them natively

Output Format:

- Statement 1

- Statement 2

- …

Step 5: Set Your Brand Voice—for ChatGPT and the World

GPT can only write at your level if it knows your tone ceiling.
If you want to sound like Nike, Apple, or Stripe—train it.
If you don’t define tone, GPT will default to corporate cheerleader or listicle bot.

📝 Prompt: Brand Voice Embedding

You are my brand tone architect.

Use the following context already established:

One-line brand statement
Competitive positioning
Core value proposition
Ideal customer and pain insight

Step 1: Tone Definition

Return 3–5 tone markers that define how the brand should sound across all funnel copy.
Default filters (override only if brand logic demands):

Clear, not cold
Confident, not cocky
Smart, not smug
Human, not hyped
Strategic, not salesy

Step 2: Applied Examples

Generate 1 example each for:

Email
Website copy
Paid ads
Organic social captions

Each example must:

Be directly usable or lightly adaptable
Reflect functional variety (CTA-led, narrative-led, proof-driven)
Adhere to tone filters unless overridden by competitive posture

Avoid emojis, exclamation marks, filler adjectives, or padded phrasing unless brand voice explicitly calls for it.

Why This Matters

Your tone is the operating system for all copy.
It governs how your product feels, earns trust, and cuts through sameness.

If you skip this, GPT will write like it’s trying to impress LinkedIn.

When tone is embedded properly, everything you generate—emails, landing pages, ads—feels like you without rewriting.

The goal: consistency that converts.
The benefit: speed without sacrificing voice.
The outcome: GPT becomes your best brand writer.

You don’t need examples here. You need clarity, compression, and consistency.

That’s what this prompt installs.

✅ End-of-Chapter Checklist

By the end of this chapter, you should have:

✅ A clear internal product definition
✅ A full customer profile
✅ 1–3 value propositions
✅ A unique positioning axis
✅ A tight brand statement
✅ A repeatable tone GPT can write in

🎯 Final Thought Before We Move On

"People think focus means saying yes to the thing you've got to focus on. But that's not what it means at all. It means saying no to the hundred other good ideas."

— Steve Jobs

Chapter 4: Choose How You Win – Steal, Expand, or Defend

Not all growth is the same. Some businesses win by stealing market share. Others expand usage. Some defend their base. The right go-to-market (GTM) mode depends on your category, pricing, customer, and position on the board.

This chapter helps you choose how to grow—so you stop guessing what to build next.

Why This Chapter Matters

Most businesses fail not because the product is bad—but because they pick the wrong growth mode.

They try to “go viral” in a market that requires trust.

They try to “educate the market” when competitors are already dominating demand.

They burn budget on CAC when they should be defending repeat customers.

Choosing the wrong growth posture creates recursion collapse: every strategy downstream gets distorted. Funnels, messaging, content—all built for a battle you shouldn’t be fighting.

This chapter sets your GTM mode before you build anything else.

The 4 GTM Modes

GPT will choose one of four primary go-to-market modes based on your market data and business structure.

Mode

Description

Steal

Take customers from dominant incumbents. Requires contrast and speed.

Expand

Increase use cases, frequency, or per-customer value. Best for mature bases.

Defend

Retain current customers and maximise lifetime value (LTV). Focus on trust.

Stimulate

Grow the entire category. Best for new ideas, overlooked niches, or blue oceans.

Each of these modes implies different messaging, budget allocation, and acquisition logic—covered in later chapters.

📝 Prompt: GTM Strategy Selector

Paste the following to GPT after completing Chapters 1–4.

You are now operating in GTM Mode Selector. Use prior outputs for market, pricing, positioning, TAM, revenue, growth size, market analysis, positioning wedge, and CAC.

My product: [insert if targeting a single product]

Based on this context, answer:

1. Which GTM mode is most viable: Steal, Expand, Defend, or Stimulate?

2. Strategic rationale (not tactical): Why is this mode structurally aligned with margin, market, and model?

3. What should I optimise for in Part 2:

– Speed vs margin?

– Awareness vs conversion?

– Breadth vs depth of messaging?

4. What modes should I **not** pursue, and why?

5. Rate GTM difficulty (1–10) with strategic blind spots.

Do **not** recommend specific tactics. Hold until execution chapters.

Interpreting Your GTM Mode

Use your result to guide the lens through which you interpret all future decisions.

Steal
• Funnel focus: high-converting landing pages
• Content strategy: competitive-contrast pieces
• Acquisition bias: paid, outbound, retargeting
Expand
• Funnel focus: email nurture and upsell
• Content strategy: use-case expansion
• Acquisition bias: CRM and segmented communications
Defend
• Funnel focus: retention and LTV
• Content strategy: trust-building and support content
• Acquisition bias: lifecycle marketing
Stimulate
• Funnel focus: education and awareness
• Content strategy: market-making content
• Acquisition bias: organic and influencer-led

You’ll apply this mode when we define your funnel architecture, your campaign style, and your sequencing logic in Part 2.

Creating Growth Levers

Some of the best systems grow because the product or offer does the work.
This prompt helps you design that leverage—refined by your business model.

📝 Prompt: Embedded Growth Lever Generator

Based on all prior outputs—your business model type, product, audience, value prop, pricing, and GTM mode—generate 3 embedded growth ideas using structured growth mechanics.

For each idea, specify:

Idea
→ Category (e.g. referral, viral loop, product-led incentive)
→ Mechanism (growth loop, habit trigger, motivation tradeoff, or social incentive)
→ Why it fits the product and customer
→ How it could scale or fail

Use known frameworks:

Growth Loops (trigger → action → reward → loop)
Trigger-based behaviours (BJ Fogg / Nir Eyal)
Social unlocks, brag mechanisms, win–win share systems
Product-led triggers (auto-invite, data exports, user-generated output)

Constraints:

Don’t suggest generic referrals unless deeply aligned to the user experience
Each idea must feel native to the product or business model
Avoid “growth hacking” language—these should be repeatable systems, not gimmicks

✅ End-of-Chapter Checklist

By the end of this chapter, you should have:

✅ A clearly chosen GTM mode: Steal, Expand, Defend, or Stimulate
✅ A strategic rationale tied to pricing, TAM, and positioning
✅ Clear trade-offs: what matters most to optimise in Part 2
✅ Awareness of which GTM paths to avoid—and why
✅ GTM difficulty score for expectation setting
✅ (Optional) GTM mode per product line or funnel segment

🎯 Final Thought Before We Move On

“The essence of strategy is choosing what not to do.”
— Michael Porter

Clarity on how you win is more important than where you start. The next chapters build your system to match.

Chapter 5: Set Price, Profit, and Acquisition Efficiency

Price isn’t what you charge. It’s what you can afford to build.

Intro

If you’ve already set a price—good. This chapter stress-tests it.
If you haven’t—this chapter builds it with logic, margin, and customer behaviour in mind.

This is not about what your product is worth.
It’s about what your marketing system can afford to sell it for.

Why This Chapter Matters Now

If your price is too low, paid acquisition won’t work.
If your margin is too thin, you’ll burn cash trying to grow.
If your offer isn’t profitable at scale, your funnel breaks the moment you run traffic.

This chapter ensures:

You aren’t guessing.
You know your breakeven CAC (customer acquisition cost).
Your price supports real growth—not just sales.

What You'll Build

A reverse-engineered pricing logic from previously defined offer, cost, and customer data
A CAC ceiling, payback timeline, and conversion baseline
A risk-adjusted assessment of pricing viability across channels
Recommendations to increase average order value (AOV) or structure tiers

You’ve Already Done the Work

The model already knows:

What your product is
Who it’s for
How much it costs to deliver (COGS or time)
The core channels you intend to use
Your strategic mode: Steal, Expand, or Defend

So instead of repeating input, you’re now activating your economics layer.

📝 Prompt: Pricing & CAC Validator

You are now operating in Strategic Economics Mode.

You have already been trained on:

– The business, audience, and product

– The market strategy and positioning

– Estimated delivery cost (COGS)

– Go-to-market mode

– Key channels (from Funnel Architecture)

Run this pricing model using all known inputs so far.

Your job:

→ Calculate breakeven CAC

→ Suggest CAC ceilings by channel

→ Flag pricing risks based on margin, retention, or funnel friction

→ Recommend upsells, bundles, or pricing tiers if needed

→ Model breakeven conversion rates if using paid ads

Then return:

1. Breakeven CAC (based on COGS + price)

2. CAC Ceiling (for 3:1 ROAS or 30% margin)

3. Suggested pricing tiers or bundles (if needed)

4. GTM friction score (Low / Medium / High)

5. CAC payback period (if subscription)

6. Viable channels with ROAS sensitivity

7. Profit per sale

8. Minimum viable CR (conversion rate) for profitability

9. Key pricing risks

10. Strategic recommendation: Hold, Raise, Tier, or Restructure

If data is missing, use trained inference and explain your assumptions.

Embed all prior model memory into reasoning.

Frameworks Under the Hood

The model applies:

Hormozi’s Value Equation
Friction/Value Tiering
CAC vs CLV breakeven
GTM friction alignment
Cost-Value-Positioning Triangle

…without you needing to name them.

CAC Math by Product Type

Digital product
• Typical CAC range: $15 – $50
• Breakeven conversion rate at a $99 price: 1.5 – 3 %
Subscription
• Typical CAC range: $30 – $120
• Breakeven conversion rate: depends on churn
Coaching
• Typical CAC range: $100 – $500
• Breakeven conversion rate: ≈ 1 % or lower
SaaS
• Typical CAC range: $50 – $300
• Breakeven conversion rate: retention must cover CAC
DTC (Direct-to-Consumer)
• Typical CAC range: $20 – $90
• Breakeven conversion rate: AOV must exceed $50 – $80

These benchmarks are applied automatically in GPT's evaluation based on your product category.

Chapter Quote

“The moment you set your price, you’re also setting your CAC ceiling. Get it wrong, and nothing else can save you.”
— Andrew Chen, General Partner at Andreessen Horowitz

✅ End-of-Chapter Checklist

By the end of this chapter, you should have:

✅ A breakeven CAC based on cost and price
✅ A CAC ceiling that supports your chosen channels
✅ GTM friction level (Low/Medium/High)
✅ Suggested pricing adjustments (if needed)
✅ Minimum CR required for ad profitability
✅ Profit per sale and payback timeline (if recurring)
✅ Strategic pricing decision: Hold, Raise, Tier, Restructure
✅ Confidence to greenlight your next funnel layer

You Now Have the Map - Here’s the Engine

You’ve installed the thinking layer. The next move is execution.

Chapters 6-26 give you the prompt systems to build landing pages, ads, email sequences, nurture loops, and analytics—all inside ChatGPT.

• 26 strategic modules sequenced for speed
• Copy-ready prompts that ship funnels in hours, not weeks
• Lifetime updates as ad platforms and GPT models evolve

Average user outcome: funnel live in < 7 days, $1 000+ monthly savings in tool + freelance costs.

Decision point: keep iterating alone or deploy the system vetted by seasoned marketing operators.

Unlock Full LiftKit — $99

Questions first? See full chapter list.