Original Summary

I’m working through pricing for a B2B AI product and would value advice from founders, product leaders, pricing specialists, and enterprise buyers. Keeping the product anonymous: it helps technical teams convert analytical workflows between technology stacks and validate the outputs. It aims to reduce specialist effort and delivery time, with human review still required. Target customers include regulated industries and public-sector organizations, where auditability, deployment requirements, and procurement processes matter. There are two potential buying situations: a defined migration project and recurring use across a team’s workflows. The alternative is typically internal specialist effort or external consulting. My challenge is choosing what customers should pay for , then establishing a defensible starting price: Per seat: Predictable, but a small team could get substantial value. Usage based: Scales with activity, but volume may not capture complexity or value. Per project: Fits a defined scope, but may be less suitable for recurring use. Annual platform fee with included usage: Supports budget predictability, but leaves the question of minimum commitment and tiers. Three questions for people who have navigated this: How did you choose your pricing metric? Did project customers and recurring users need different offers? How did you validate your initial price range? What evidence from buyer conversations, paid pilots, or early deals led you to keep or change it? What made the offer commercially workable and easy to buy? How did you handle procurement constraints and separate software from implementation, private deployment, validation support, and ongoing services? Examples of what customers actually bought, what they pushed back on, and what you changed would be especially helpful. Buyers: what made a proposal easier to approve or caused it to stall? No need to name companies or share confidential figures. Pricing ranges are welcome if you can share them. Please mention the customer segment and whether you were buying or selling so I can understand the context.   submitted by   /u/Ill_Cash8571 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/10/18 04:36:48