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PricingSaaS

1k members • Free

7 contributions to PricingSaaS
What does it actually take to run PLG + SLG together?
Howdy pricing people! Nailing PLG+SLG has never been easy — and AI is only adding fuel to the fire. Next week, we're hosting an office-hours session to get into the specifics. It’ll be led by Mark Walker and Tina Kung, the team behind Nue.io. Mark and Tina have spent the past two decades at the intersection of CRM + billing infrastructure across Salesforce, NetSuite, and Zuora, seeing firsthand where quoting, billing, and revenue workflows break when PLG and SLG collide. Now they’re applying that experience to building a unified system for pricing, quoting, billing, and revenue intelligence across both motions. 📅 Thu Feb 12 | 1–2pm EST Register here: https://luma.com/6ap20xga And drop your questions in the thread!
1 like • 7d
This sounds amazing. Can we please record this? I'm running an offsite next week otherwise I'd be in the first row with popcorn in hand. Thanks!
Who is responsible for executing price changes?
Hi all, Curious who/job-titles in your companies actually tactically execute price changes, especially those that have systems of record or "list prices" in a CPQ system. Are they pricing strategists/managers? operations professionals or system administrators? engineering? Curious the level of technical fluency of the operators as pricing mechanics can be complex, who is responsible that the configuration of systems match desired outcomes?
1 like • 27d
I've gotten as far as writing the requirements for the changes to CPQ or the website but never actually pushed the buttons myself. This would be handled by a salesforce admin or web team respectively.
How are you thinking about add-ons in 2026?
Howdy pricing people! Hope you're all having a great week before the holidays hit. We just published our latest collection, with 100+ add ons across product, services, and AI. John also built a slick AI Assistant so you can ask questions and find examples that are relevant to you. You can always download the PDF and feed it into your LLM as well 🙂 Grab the collection here → Question for this crew. Have you seen success with add-ons? Curious how you're all thinking about add-on strategy heading into 2026. Otherwise, hope you all have a relaxing holiday and get the chance to recharge over the break 🔋 Rob
2 likes • Dec '25
Hey all - another timely post as I'm working on add-on strategy this week. Here's my thinking so far. Most of us know the classic Relative Preference × Relative WTP quadrant model for deciding what should be an add-on vs. included. Especially that low preference / high WTP quadrant that often gets labeled as prime add-on land. I find that approach to be a bit incomplete or inadequate when actually layering the add-on into my lineup. The secondary lens I'm using is bridges vs. bypasses. Rough definition... Bridge: an add-on that helps customers naturally progress as they grow or get more sophisticated. The need shows up because things are working. Bypass: an add-on that lets customers get around friction or limits that already exist. It removes a constraint rather than unlocking something new. When you overlay this on the quadrant model: High preference / low WTP - features tend to feel like bypasses when monetized (toll booths, nickel-and-diming). Low preference / high WTP - work as situational bridges for a small but intense segment. High preference / high WTP - where true bridges usually live and monetization feels earned. Low / low - skip, nobody cares Big takeaway for me: Preference × WTP tells you if you can monetize something. Bridge vs. bypass tells you how it feels when you do. This was the missing part. Anyone else looking it this way or a different way aside from just the quadrant? When I have time, I want to deep dive into this new add-on collection to see what others are doing. Curious if others think about add-ons this way, or where you’ve seen bypasses work (or not work).
The Catch-22 Every SaaS Company Is Facing
Howdy Pricing People 👋🏼 There's a fundamental tension in SaaS I can't stop thinking about: Every SaaS company wants an AI story right now. To have a credible AI story, people need to be using your AI features. If people are using your AI features at scale, your margins will take a hit. Nobody wants margin erosion because we're still valuing SaaS companies on metrics built for the previous generation. The short-term playbook says protect your margins. The long-term playbook says invest in AI or get left behind. They don't reconcile. I'm genuinely curious how you're all thinking about this: - What should SaaS companies be doing right now? - Seemingly everyone is turning to credits as a hedge to both tell the AI story and maintain margin control. Are there other strategies SaaS companies should consider? - Does something fundamental need to change in how we evaluate these businesses? Drop your thoughts below. I'll be digging into this in this week's newsletter, and would love to share perspectives from this group. 🫡 Rob
1 like • Dec '25
Yes. This has been absolutely top of mind. Here's how we're tackling it b/c I don't think the credit route is right for us for the near term. We've built what I've nicknamed the Swiss watch. It's a monetization system with four interlocking gears. Some monetize directly but others don't. And in our case, AI (copilots, agents, etc.) don't get their own meter. They spin one or more of the gears. A few nice things about this approach: Margin Control at the Gear Level: Margins stay stable because each loop is priced to hit a certain gross-margin profile. Even if AI ramps usage, the blended math works. No credits (at least not yet) because our ICP doesn’t want to manage credits. We want using the product to feel natural, not like checking a balance. It's also a heavy lift and the juice isn't worth the squeeze yet. Long story short, we built a system that is durable enough (I think and hope) to weather all the new AI stuff. At least for the next year or two...
0 likes • Dec '25
@Rob Litterst Sure. DM me and let's set up something next week. Thanks!
Looking for a Boutique Consultant to Pressure Test a Monetization Strategy - Any Recs?
Hey all! I’m looking for a small/boutique SaaS pricing consultant who can serve as an external ear on a monetization strategy I’m finalizing for FY26. This isn’t a “teach us pricing” project. The tactical stuff (user testing, billing experiments, packaging variants) is already underway. What I need is someone who can help stress-test the big picture and sanity-check the architecture. Specifically looking for help with: 1. Coherence check: does the strategy work as a system? 2. Blind spots: assumptions, hidden risks, unintended effects. 3. Pattern benchmarking: how our model maps to modern PLG + AI monetization patterns. 4. Narrative review - does it scale cleanly to C-level/board and down to PMs? 5. Sequencing risks - where rollout timing could break. 6. Edge-case audit - usage/plan boundaries, adoption cliffs, etc. If you know someone who fits this profile, or you’ve worked with a boutique firm that leans strategic (not just packaging projects), I’d love recommendations. Thank you!
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Andrew Yee
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@andrew-yee-1865
https://www.linkedin.com/in/andrewwtyee/

Active 11h ago
Joined Oct 10, 2025
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