How to Price B2B SaaS Tiers using AI [Template Included]
Most SaaS pricing feels like a shot in the dark.
Some founders price based on gut feeling.
A few ask customers, only to hear, "It depends."
Others copy competitors.
The result?
Underpriced plans that leave money on the table.
Overpriced tiers that scare away customers.
Feature bundles that don't align with value.
Imagine if pricing was a science, not a guess.
Instead of playing a guessing game, what if you could structure your pricing based on customer value, willingness to pay, and business sustainability?
The Reforge Pricing Framework provides a structured approach, breaking SaaS pricing into tiers based on clear customer segments and usage behaviors. But it’s complex.
So I distilled it into an AI-friendly pricing prompt that guides you through the process—step by step.
The Framework (Simplified)
The Reforge framework structures pricing around three key principles:
Customer Segmentation:
Different user groups value different things.
Your tiers should match distinct use cases (e.g., startups vs. enterprises).
Value Metrics:
Identify the metric customers associate with value (e.g., seats, usage, storage).
Price scales based on the metric that best reflects success.
Psychological Price Anchoring:
Guide customer choices using a Good, Better, Best structure.
Your mid-tier should be the most compelling (high-margin, high-conversion).
Example: Slack’s Pricing Tiers
Free (For individuals and small teams)
Pro (Unlocks integrations and history)
Business+ (Adds security and compliance)
Enterprise Grid (Custom pricing for large orgs)
Each tier serves a specific customer need and scales on a clear value metric (users and features).
Now, let’s build your pricing model with AI.
The AI Pricing Prompt
Copy and paste this prompt into ChatGPT or Claude to get structured pricing recommendations:
"I am pricing a B2B SaaS product called [your product name].
I need a structured pricing model based on customer segmentation and value metrics. Here's my business context:
1. Product & Market:
- My SaaS product helps [describe problem it solves].
- Our ideal customers are [small businesses, mid-market, enterprises, etc.].
2. Key Value Metric:
- Customers measure success by [monthly active users, storage used, transactions, API calls, etc.].
3. Competitive Landscape:
- My competitors charge [list competitors and their price points].
4. Tiers & Feature Breakdown:
- I want to create [number of tiers] pricing plans.
- My entry-level plan should focus on [self-serve, onboarding, usage limits].
- My premium plan should emphasize [enterprise needs, security, compliance].
Generate:
- A three-tier pricing model with recommended price points.
- Feature distribution per tier based on customer needs.
- Psychological price anchoring strategy (to maximize conversions).
-Optional add-ons or expansion pricing recommendations."When to Use This Prompt?
Use this AI-assisted pricing approach when:
You’re launching a new SaaS product.
Your pricing feels misaligned with value.
You need to optimize conversion and expansion revenue.
Limitations & Next Steps
AI-generated pricing is a starting point, not a final decision. You still need to:
Validate it with customer interviews.
Test willingness to pay with real-world pricing experiments.
Continuously iterate based on customer behavior and churn data.
Takeaway: Test it today.
Pricing isn’t a one-time decision—it’s a process.
Take 5 minutes, run your SaaS through this prompt, and compare the AI’s recommendation with your current pricing.
You might be surprised by what you uncover.
PS: Was that useful? Leave me a ♡ so I know I’m on the right track.
What founder challenge should I tackle next?