hi team! building out a tool that grades a pricing page on accessibility for agents. few principles so far: 1. discoverability --- llms can easily crawl site or convert into md files 2. completeness -- every plan has written overview (price if applicable, quotas/limits, triggers for upgrades / changes, overage behavior) 3. computability --- some formula or example on how to calculate a bill 4. edge cases --- definitions of specific terms, downgrades, comparisons etc 5. freshness -- changelog / version control of some sort what would you change?

Anyone create or own pricing for resellers? I want to get smarter about how to decide pricing here. I really hate the margin arbitrage game where they negotiate with you to carve out a margin for themselves. Anyone seen or created a better approach to avoid weird incentives for the customer?

My monthly pricing open discussion is (tomorrow, July 14) is discussing the current NRR squeeze in B2B SaaS. Feel free to join us. https://luma.com/hjf7aagi

one of the most challenging parts of enterprise deals is how to give / get when customers inevitably ask for discounts i've had the luxury of learning from EXCELLENT negotiators in gtm at grafana for multi-million dollar deals. i wrote about my learnings on structuring discounts here. would love any feedback!

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.