Pricing Strategy Framework

Not all growth is created equal.

Some products win by stealing market share. Others succeed by expanding use cases. Some survive by defending customer lifetime value. The right go-to-market (GTM) strategy framework depends on your category, pricing, customer, and position on the board.

This chapter uses ChatGPT to identify the GTM mode most structurally aligned to your offer—so every funnel, message, and dollar you deploy hits harder.

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.

What You’ll Learn

How to reverse-engineer a pricing strategy from cost, margin, and CAC

How to calculate breakeven CAC and set a ceiling by channel
How to apply this framework across SaaS, info, services, and subscription models
How to use GPT to test and model profitability constraints
Why most funnels fail because pricing isn’t aligned to growth

Why This Chapter Matters

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

This GPT prompt uses your product, delivery cost, GTM mode, and target channels to return your growth-viable pricing logic—plus upsell and tiering options.

Pricing & CAC Validator Prompt Sample:
Calculate breakeven CAC, suggest CAC ceilings by channel…

🔒 To see the full Pricing & CAC Validator prompt (it’s 181 words long): [Unlock the LiftKit System →]

Where This Fits in the System

This chapter sits between positioning and execution.

If Chapter 3 defined what you sell, and Chapter 4 defined how you grow—this chapter defines if you can grow at all.

It directly supports:

Funnel planning (Chapter 7)
Paid strategy and budget splits (Chapter 15)
Conversion expectations and CR modelling (Chapter 25)

Want the Full System?

This is just one chapter inside LiftKit.
It builds your GTM plan using ChatGPT, but the rest builds the funnel, ads, landing pages, and content to match it.

→ Unlock LiftKit – $99 one-time
Includes all prompts, frameworks, and structured outputs to replace your agency stack—using just GPT.

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A pricing strategy framework isn’t just about value perception—it’s about unit economics.
This chapter helps you set a price that supports profitable CAC across channels, using real-world benchmarks and GPT to model outcomes. Whether you're launching a SaaS tool, digital course, or tiered offer, this is where your growth math starts working.