Howdy pricing people! Next week, I'm teaming up with Pat Doran, Managing Director of Pricing at SBI, for a Live Growth Forum on the State of SaaS Pricing in 2026. Here's why I'm fired up about this one: Pat's team just surveyed 350+ operators and execs who actually own pricing strategy. I'm bringing the real-time, company-level data from PricingSaaS across 3,000+ companies. So you get the survey side and the behavioral side stitched together — the clearest read on what's actually working in monetization right now. A few things we're going to dig into: - Why companies that bury AI infrastructure costs into flat pricing miss revenue targets at twice the rate of those who don't. - Why dedicated pricing ownership is beating the old pricing-committee model. - Why seats still matter to most pricing models — and keep outperforming the flashier usage and outcome-based alternatives. We'll also get into what good agentic and MCP pricing looks like as the seat-to-value paradigm shifts, grounded in real case studies of who's executing well and what they're doing differently. Details below: Tuesday, June 17th @ 12pm EDT Register here 👉 https://events.sbigrowth.com/thestateofsaaspricing-2026 Hope to see you there! Rob

Came across this HubSpot piece on credit-based pricing. The article was published yesterday - suspiciously timely after last night's conversation on credits and transparency :-) @Rob Litterst , were you behind this one? https://blog.hubspot.com/website/why-ai-usage-based-pricing Found it quite insightful. I particularly liked the screenshots showing in-product cost labels at the point of action. HubSpot uses a credit badge on the data agent, whereas Airtable gives you a breakdown of what exactly your credits buy you. It's the difference between getting a surprise bill at the end of the cycle and watching the meter tick as you are using the product (so that you know when to stop spending). Great for building trust.

Hi everyone, great to be here. I'm Tomas, an independent billing advisor focused on helping SaaS companies turn pricing ideas into repeatable billing systems. My work sits in the layer that comes after pricing strategy, and that's where things can get messy :-) - subscriptions + usage-based hybrids - plan changes, proration, and edge cases - global sales (MoR vs direct payments) - making sure the billing setup doesn't break product experience or reporting I've spent the last few years working heavily with Stripe and similar platforms, helping teams implement flexible pricing without locking themselves into brittle setups. More recently, I've been building Billing Atlas – a structured advisory service that helps SaaS teams make and execute billing decisions with clarity. I joined this community because pricing and billing are tightly connected, but often discussed separately. I'm particularly interested in how pricing decisions hold up once they hit real systems and customer expectations. Happy to share practical insights from the implementation side, compare notes, or help validate ideas when useful. Looking forward to learning from all of you.

Looking to chat with anyone who has experience monetizing on-prem products, specifically in the developer space. Some topics I'd like to think through: - Solution-based selling for on-prem offerings - How to upsell with minimal data insights & stonewall customers - The challenges (and benefits) of selling these products in a consumption-crazy/fatigued landscape Happy to provide more context. THANKS!

For the past month, a handful of users have been beta testing PricingSaaS Pulse. The feedback has completely reshaped how I think about the Pulse product. When @John Kotowski and I started PricingSaaS, the goal was to make pricing expertise accessible to the average product team. We'd both witnessed our own versions of pricing paralysis. As a consultant, I watched clients struggle to drive consensus. As a Chief Product Officer, John lived the pain firsthand. Often, when teams are staring down a new launch, they freeze. Not because the team isn't smart. Because there are just so many options, and its hard to cut through the noise and figure out what makes the most sense. Pulse is solving that. The clearest pattern from beta: Pulse works as a pricing intelligence layer that plugs in alongside a team's own internal context. The combination of internal context, and our structured market data is the unlock. On one side: Their documentation, their data, their customer transcripts. On the other: A clean, objective view of what companies are actually doing. The most interesting thing we're seeing: a handful of beta users have started using Pulse to build their own pricing agents. The recommendations those agents are producing are sharp. Specific. Grounded in what's actually shipping. It's the closest thing to a real pricing copilot I've seen. We soft launched last week. If you're a SaaS operator or pricing consultant and you want to take it for a spin, comment here or shoot me a DM and I'll get you squared away.