I'm a consultant working with SaaS companies on pricing strategy and contract terms, predominantly in healthcare tech but now across other sectors. My clients operate in the $5-10-20k+ MRR minimum contract value space—basically, they're selling enterprise/mid-market deals rather than per-seat models. I'm curious whether the pricing frameworks and strategies discussed here translate to that higher-ticket tier, or if the dynamics are fundamentally different enough that the learnings don't carry over. Are there folks here working in that contract-value space who could speak to what's similar/different about pricing strategy at that level? Thank you!

Does anyone have any benchmarks on what hospitals are willing-to-pay for SaaS Medtech / HealthTech products? This SaaS product provides analytical and predictive support across five hospital domains - Patients, ER, Beds/Wards, Surgery/Theatre and Outpatients. I'm particularly interested in "cost-per-head-of-population" or "cost-per-hospital-bed" metrics, which would provide alignment with activity-based funding models in public hospitals. There may be others...? Also interested in metrics for private hospitals (if / where different). DM's welcome if you prefer. Thanks in advance.

I looked at the top 100 software companies and only one of them does this... Mailchimp offers a quiz on their pricing page to highlight the best plan for you. I know folks are skeptical of this. They are concerned the quiz will upsell. But I am bullish on this for a few reasons… 1) If a prospect wants to manually select the best plan themselves, they can. This is just an option, one that a person like me would prefer to take to shortcut the process, but nobody is forced into the quiz. At the end of the quiz, Mailchimp also has a summary section where they detail why you were recommended that specific plan based on the features and specs you requested. 2) Pricing, especially for multi-product SaaS, is complex. This is a way to simplify things for users. I think we are moving in a direction where all these quiz inputs could lead to an AI-prefilled prompt that gives a nuanced and in-depth answer as to what plan is best, and the result could be embedded on your pricing page next to the plans, so you don’t have to leave the page. Instead of “Find my Plan” it could even say “Ask ChatGPT what plan is best for me". 3) The way we interface with websites is going to change. We are moving towards a world where a prospect goes to a site and types their intent into an LLM-style input box. The input then creates the site experience from the exact intent and questions the prospect has. That world I envision would naturally move towards pricing being pre-selected based on needs/preferences, and I think prospects are going to get used to this style of interfacing (in the same way that most users today are comfortable with a single LLM output versus having dozens of links to browse through when they search something on Google). Do you think in the future consumers are going to get more used to typing in their needs and getting a single output (LLM style) versus browsing (Google classic style)?

Just got off the Office Hours call, and found it hugely valuable. We're a small analytics startup, and I was definitely a little worried our questions were going to be too bespoke, but Ulrik has a great way of getting to the meat of the question and leveling it out so that it's relevant broadly. Lots of different business sizes and types, and I learned something from listening to everyone's Q&A. Big fan, and huge thank you to @Rob Litterst and @Ulrik Lehrskov-Schmidt for being so generous with your time!