Usage-Based Pricing 2.0: The Hybrid Models That Actually Work

Published 2024-06-02 · Updated 2026-05-23 · 5 min read · SaaS and Cloud AI · By Sahin Boydas

Is usage-based pricing right for your B2B SaaS? It's not a simple yes or no answer. I'll walk you through the pros and cons, the ideal customer profile for UBP, and a decision framework to help you determine if it's the right model for your business.

I almost gave up on usage-based pricing 2.0: the hybrid models that actually entirely. Then something clicked that changed my whole approach.

Is usage-based pricing right for your B2B SaaS? It's not a simple yes or no answer. I'll walk you through the pros and cons, the ideal customer profile for UBP, and a decision framework to help you determine if it's the right model for your business.

The Counterintuitive Truth

Here's what surprised me most about usage-based pricing 2.0: the hybrid models that actually: the best practitioners do less, not more.

When I was building MovieLaLa, we tried to do everything at once. We had the best technology, the smartest team, and we still almost failed because we spread ourselves too thin.

The lesson I took from that experience, and from watching hundreds of other companies, is that simplicity beats complexity every time. It sounds simple. It's incredibly hard to execute.

Why Most Approaches Fail

Let me be direct: about 70% of the approaches I see to usage-based pricing 2.0: the hybrid models that actually are fundamentally flawed. Not slightly off. Fundamentally flawed.

The root cause is usually one of three things:

  • Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
  • Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
  • Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.

Lessons From the Trenches

I want to share a few specific lessons I've picked up over the years. These aren't theoretical. They come from real companies, real failures, and real successes.

Lesson 1: The best time to start thinking about usage-based pricing 2.0: the hybrid models that actually was yesterday. The second best time is now. Don't wait until you have the perfect plan.

Lesson 2: Hire for attitude, train for skill. The best usage-based pricing 2.0: the hybrid models that actually practitioners I've met weren't the most technically gifted. They were the most curious and persistent.

Lesson 3: Your competitors are probably getting this wrong too. That's your opportunity. While everyone else is following the same playbook, you can zig when they zag.

This connects to broader themes around usage-based pricing, SaaS metrics, AI pricing models, serverless AI that I've been thinking about a lot lately.

Final Thoughts

After two exits, 200+ investments, and more mistakes than I can count, here's what I know for sure about usage-based pricing 2.0: the hybrid models that actually: there are no shortcuts, but there are smarter paths.

The smartest founders I work with treat usage-based pricing 2.0: the hybrid models that actually as a competitive advantage, not a checkbox. They invest in it early, measure it obsessively, and never stop improving.

If you're just getting started with usage-based pricing 2.0: the hybrid models that actually, don't be intimidated. Everyone starts somewhere. The key is to start with the right mindset and the right framework, and then execute like your company depends on it. Because it probably does.

Frequently Asked Questions

What's the most common pushback you get on this?

People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.

What experience informs this perspective?

This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.

How can I apply this thinking to my own situation?

Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.

More in SaaS and Cloud AI

  • Serverless AI: The Ultimate Guide for Founders Who Hate DevOps — If you're a founder who dreads the complexity of managing servers and Kubernetes clusters, this guide is for you. I'll show you how to leverage serverless technologies to build and deploy powerful AI applications without a dedicated DevOps team. It's the ultimate cheat code.
  • The Ultimate Guide to Serverless Databases for AI Applications — Forget vanity metrics like sign-ups and website traffic. I'm sharing my unfiltered guide to the only SaaS metrics that truly matter when you're building a business from zero to $1M ARR. This is the dashboard that helped me raise our seed round and find product-market fit.
  • The Real Cost of AI Infrastructure: A Deep Dive into GPU vs. TPU — We're obsessed with the AI models, but the real battle is in the infrastructure. I spent a month benchmarking GPU vs. TPU performance and costs for our production workloads. The results were not what I expected, and they could save you millions.
  • The AI-First SaaS: A New Breed of Company — You can't build a great SaaS company without a world-class sales and marketing engine. I'm sharing my guide for founders on how to build and scale your go-to-market team, from hiring your first salesperson to building a predictable revenue machine.
  • How to Build a Resilient and Scalable Cloud AI Architecture — I'm making a bold prediction: usage-based pricing will become the default for all SaaS companies. In this article, I'll present my case, backed by data and trends, for why this shift is not only inevitable but also beneficial for both companies and customers.I'm making a bold prediction: usage-based pricing will become the default for all SaaS. In this article, I'll present my case, backed by data, for why this shift is inevitable and beneficial for both companies and customers.
  • How to Find and Win Your First 100 Customers for Your Vertical SaaS — The era of the all-in-one horizontal SaaS is over. The future belongs to vertical SaaS companies that go deep into a specific industry's workflow. I'll explain why the 'niche-down or die' mantra is the new reality and how to find your profitable niche.

All SaaS and Cloud AI articles · Sahin's angel investments · Startups he founded