Activity
Mon
Wed
Fri
Sun
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
What is this?
Less
More
Memberships
PricingSaaS
1k members • Free
28 contributions to PricingSaaS
14d •
How is everyone incorporating AI into their workflows?
Curious to hear how other pricing strategists and operators are using AI in their workflows. Are you just getting started, or do you have a full flow built? What tools do you like vs. which tools are causing you the most trouble? I'm especially curious if anyone has developed a way to leverage AI to refine ICPs?? Or if anyone has found any good Claude skill files specific to pricing? I'll kick off! Some context: We're refining our sales-led pricing model at the moment and need to move quickly, so I don't have the support to run formal research. I'm also a team of one at a Series A company that just underwent a massive change in how we deliver our product 😅 I've been using Claude to refine new pricing structures and develop HTML pricing calculators for sales-led deals. I've been funneling context to Claude using our product's MCP server, knowledge files, and more, which have allowed me to develop and pressure-test various pricing strategies that I have then vetted with cross-functional leadership and sales as viable to test. My sales team now has a self-service hub they can rely on to run with these new models for certain deals. The hub provides guidance on choosing a model, the value story for the chosen model, pricing, and ROI calculations. Would love to hear what everyone else is doing!
2 likes • 11d
Latest project is to automate much of the intake and proposal-drafting process for Tier 2 features. Ideally the only inputs I have are an intake form from PM on the feature/roadmap and what they know of the market, plus a conversation brainstorming potential packaging. I can then use AI to build a hypothesis, run market research, write the first proposal, and have a synthetic “C-suite” critique it. Then do a few rounds of it updating the doc. That gives me bandwidth for more critical initiatives while improving the quality of decisions for things we’d otherwise sidestep.
13d •
Fair Use Policies - what are you seeing?
@Farhan Manjiyani Farhan Manjiyani guest-wrote last week's newsletter, and I loved his insights on fair use policies as a way to protect margins while creating a true AI story. The big idea: "unlimited" is dead, hard caps churn customers, and the companies winning right now are landing in the middle with fair use policies. A few examples he shared: 1️⃣ Grafana Cloud Logs lets you query up to 100x your ingested log volume for free. Go beyond that and billing kicks in on a formula. It protects margin without putting a scary number on the pricing page. 2️⃣ ChatGPT doesn't cut you off when you hit your GPT-5 cap — it silently drops you to a lighter model until your window resets. No overage, no upgrade wall, just graceful degradation. It's one of the most underrated pricing moves in AI and almost nobody's talking about it. 3️⃣ Atlassian bundles Rovo AI into paid Jira and Confluence subscriptions with a credit-based quota pooled across the organization. Right now, they’re not enforcing the limits. But they’ve published the quotas, committed to 90 days notice before enforcement begins, and will include dashboards for monitoring usage. Curious what others are seeing — are you using fair use policies, or seeing anything cool in the wild?
1 like • 13d
Not sure if I agree with the fair-use definition. I think of these all as “limits” to either control COGS or monetize value delivered.
2 likes • 13d
@Rob Litterst I think of “fair-use” as “don’t abuse the usage limits for their intended purposes”. It protects against tail-risk COGS exposure. So, for instance, you get “effectively unlimited” minutes on phone calling plans. These satisfy any normal uses (e.g. I’ll make an hour or so of calls a day), but block abusers who use the line in a call center and rotate it so it’s in use 24 hours/day. ChatGPT is a great example, and only now starting to move here, Google already has thanks to their extreme cost advantage, and I think we’re still too early in the process for most to do so. But it’s is how we get back to “unlimited”. I suspect the rest of the above examples (especially Rovo) are companies planning for future usage-based pricing.
Mar 19 •
Monetizing MCP
Wanted to sanity check a view with you: MCP matters product-wise, but not as a standalone pricing unit. My take is SaaS companies shouldn’t monetize MCP itself. It’s a connectivity layer, and customers don’t buy “protocol access” - they buy the value it unlocks. So the monetization likely shows up in: - premium AI layers — paid add-ons / tiers with custom agents, integrations, context, admin controls, or workflow automation - usage-based pricing — credits, actions, outcomes - seat expansion / plan upgrades - pull-through to core product usage So my thesis is: don’t monetize the protocol; monetize the value created through it. Curious what others are seeing: - what usage patterns are real? - how are you packaging it? - what are customers actually paying for?
0 likes • Mar 19
@Akshay Patel I think this will mainly be ecosystem-driven. I doubt most orgs will be using MCP directly themselves; this will presumably be filtered through their products.
Mar 5 •
Claude Skills for PricingSaaS MCP
Hey all 👋 We launched the PricingSaaS MCP beta last week and the feedback + experiments so far have been 🔥 One thing we’re seeing quickly is that people start with:“Cool, I can connect tools to pricing data…” Then the next question becomes: “What can I do with it?” That’s where Claude Skills come in. If you’re new to them, the simple mental model is: - MCP = tools - Skills = recipes PricingSaaS MCP gives you data + knowledge tools, and Skills let you chain those tools into repeatable workflows — so you can basically run analyses or reports on demand. Example: I built and ran pricingsaas-report-builder skill on Slack’s pricing → https://share.pricingsaas.com/1772731424/slack-pricing-report-2026-03.html I’ve attached the pricingsaas-report-builder Skill to this post—feel free to grab it, try it, and remix it. Curious: - Are you using Claude Skills yet? - What kinds of Skills are you building (or wish existed)? Would love to see what people are experimenting with. 🚀
3 likes • Mar 12
@John Kotowski I built a hypothesis-builder skill (to build hypotheses on biz problems quickly) and am hoping to build: - pricing-intake skill to help my product teams source and think thru the info I’ll need to do biz models. - Interview-guide-builder to help me prep interview guides based on my key open questions - Sales-forecast to help me do quick 80-20 analyses on opportunity sizing. Would I trust it on everything? No, especially not high-value work. Is it great for sorting thru basic tasks I just need to do an OK Job on? Absolutely.
2 likes • Mar 12
The did an incredible job with their rollout. A+ on comms - they presumably looped @Kyle Poyar in early, shared their rationale in a note, and talked thru it in a video. Their rationale was clear, as was their customer centricity (here’s how it benefits you). And all their changes happened at once. My guess without digging in deeply is they were either balancing highly-variable costs or not appropriately charging for the actual workflows, hence the move.
0 likes • Mar 12
Contrast that with Cursor iirc, who rolled out a very messy launch that rapidly scaled costs to users when their per-seat model didn’t align cogs/value/pricing.
1-10 of 28
Active 15h ago
Joined Nov 15, 2025
Powered by