Howdy Pricing People! How do you charge for an agent? Per seat doesn't work when the "user" is software. Per token is hard for a buyer to budget. Per task sounds great until you have to define what a task is. Every AI company I track is wrestling with this right now. Most are guessing. So I asked someone who does it for a living. On Thursday, November 19 at 12 PM ET, @Jas Garcha, Head of Pricing at Vercel, is joining me for a live AMA on how to monetize agents. We'll cover: 1. What you should actually charge for when an agent does the work 2. How to package agent features next to the plans you already sell 3. Your questions, live It's free, it's an hour, and we're streaming it on LinkedIn Live too. My take: the companies that figure out agent pricing first will set the rules everyone else follows. Come steal the playbook. Register here: https://riverside.com/webinar/registration/eyJzbHVnIjoicHJpY2luZ3NhYXMiLCJldmVudElkIjoiNmFlYzk4YmM3ZmVlYTY5ZDNjMDk1ZjA4In0=

Howdy pricing people! In the last year, Figma, HubSpot and Notion all moved their AI features onto credits, and a lot more companies are lining up to do the same. Next Thursday, November 12th, Ulrik Lehrskov-Schmidt is joining me for Office Hours. We're talking about migrating to credits. Pretty much every engagement Ulrik has worked on over the past couple years has had a credit component, so I'm excited to dig in with him. A few things we're going to dig into: - What should one credit be worth? - Which features should use credits, and which stay in the plan? - How do you move existing customers over without upsetting them? - How do you keep sales on board? This one runs on your questions, so drop your credit questions in the comments below and I'll make sure we cover them. Details below: Thursday, November 12th @ 12:30pm ET Register here 👇 https://riverside.com/webinar/registration/eyJldmVudElkIjoiNmFlMzhlZjg3YTExYmIwOGNkYWQxOGM1Iiwic2x1ZyI6InByaWNpbmdzYWFzIn0= Hope to see you there! Rob

Hey pricing people! We're building the Pulse Agent, a free pricing analyst that sits on top of PricingSaaS Pulse data and helps users make smarter monetization decisions. Since launching our v1, 200+ people have asked 750+ questions 🎉 One thing is clear: the more context the agent has, the better insights it can provide. That’s where we need your help! We want to know how your team uses AI to make pricing decisions today. What do you use it for? Where does it fall short? What data are you willing to share? Your answers will help decide what we build next. Take the 4-minute survey As a thank-you, the first 50 people to finish get a free electronic copy of Ulrik’s new book, The AI Pricing Roadmap, which comes out in November. Thanks in advance for helping us build this! Rob P.S. If you're open to a 15-minute follow-up call, there's a box for that at the end of the survey. Those calls will shape the agent more than anything else.

Howdy Pricing People! AI credits are everywhere right now, but almost nobody agrees on how to run them. On Wednesday, October 28 at 12 PM ET, we're hosting a Monetization Roundtable with three operators who have actually rolled out credits and are actively working on their models: - Rita Sherman, Sr. Director of Monetization at Gong - Jeff Curran, Head of Pricing and Packaging at Miro - Manu Mehra, Strategic Pricing Leader at Databricks We'll cover: - Why they moved to credits instead of seats or charging per outcome - How they set the price of a credit and decided what uses one up - Allowances, rollovers, and top-ups - What it took inside the company to launch, across billing, finance, sales, and support - What customers like and what they push back on If you're pricing an AI product, or about to, come with questions. Save your spot: https://tinyurl.com/2xmt6gao Hope to see you there! Rob

Hi all, Curious to get your input on this. I'm working with a couple of vertical saas editors on their AI credit structure and I’ve been noticing an interesting shift in SaaS pricing in the AI era: companies seem to be moving away from explicit usage units (credits, tokens, number of tasks) towards more abstract notions of capacity or simply a consumption gauge. ChatGPT, Claude and Notion are interesting examples of this. Upsell in the pricing page is summarized to "more AI" or "x5 more usage", but there is no real unit/metric (at least not on the pricing page) I find it surprisingly opaque for the customer, but it solves a lot of the hassle on the editor's side, and simplifies the commercial effort if go to market is done correctly. Do you think this is an emerging pricing trend?