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PricingSaaS

953 members • Free

3 contributions to PricingSaaS
What's one pricing read (or listen) you would recommend for the holidays?
Howdy pricing people! As we wrap up 2025, I'm curious: What's one piece of pricing content that really landed for you this year? Could be a book, an article, a podcast, or even just an idea that you found and immediately had to share. Drop it in the comments. Would love to see what resonated across the community! I'll start: I love the concept of Value Literacy that I learned from @Mark Stiving. He defines Value literacy as the understanding of how buyers perceive value, evaluate tradeoffs, and decide what to pay. Highly recommend the full post to go deeper on the concept. I expect this to become even more important in 2026, especially as we enter the Credit Apocalypse. Look forward to seeing what you all recommend so I can load up my holiday reading list 🙂 Happy Holidays! Rob + John
2 likes • 9d
@Serge Herkül I'll add to this "Pricing AI Products The Monetization Playbook for Startup Founders"
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
4 likes • Dec '25
We've started with confirming the value with clients before building the features (knowing that still doesn't guarantee willingness to pay post build). If the clients don't acknowledge the value first then it would be AI for AI sake vs. a real feature. From a pricing perspective so far clients aren't "feeling" the pay for outcomes as the nature of AI is to get better over time so they don't want to feel like they will keep paying more. Hence, thus far we are looking at a per user basis, but recognize that is an old metric. Welcome hearing from others what they have done.
Struggling with high rejection rates after free trial
Hey everyone, We recently launched a new pricing model that includes a 7-day free trial, followed by a monthly subscription. However, when the trial ends and we attempt to charge customers, we’re seeing an almost 90% payment rejection rate. Has anyone experienced something similar? Any suggestions?
2 likes • Oct '25
Gathering metrics from the client before the trial period (e.g., number of days to create pricing proposals and number of hours spent gathering data) and then being able to measure those metrics during the use of your product to show them the % improvements can translate to $ value for the clients.
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Denise Gangi
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12points to level up
@denise-gangi-3950
Fueling revenue growth, expanding market share, and building strong relationships by consistently increasing value to the client

Active 1d ago
Joined Oct 23, 2025
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