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Exclusive Report: The State of PLG vs. SLG
Hey pricing people! We just published a new report with our friends at Nue.io. It's called PLG vs. SLG: What the Data Says About SaaS Growth in 2026. We analyzed 3,847 pricing, packaging, and product changes across 498 SaaS companies to figure out what's actually happening at the intersection of product-led and sales-led growth. Some of the most interesting findings: 1️⃣ Freemium strategy is bifurcating. Of the 40 companies that changed their free tier in 2025, roughly half tightened or eliminated it (Deputy, Plaid, Apollo GraphQL) and the other half expanded it (TravelPerk went fully free, Scratchpad loaded AI features into the free tier). There seems to be less interest in the middle. Companies are either going all-in on Freemium for activation, or pushing harder on monetization. 2️⃣ Trials are getting shorter. The median trial is heading from 30 days to 14. AI-native tools are already at 7. Voiceflow cut its trial in half while increasing AI tokens 150%. The bet: AI means users can hit value faster, so why give 30 days? 3️⃣ Credits are bridging the gap. 126% YoY growth in credit-based pricing. Monday, Figma, Miro, Notion, Hubspot - they've all implemented credit models. Credits are becoming the connective tissue between PLG and SLG — self-serve consumption that naturally creates sales conversations when pools run dry. Grab the full report here → We'd love your reactions. What matches what you're seeing? What surprises you? How are you thinking about a hybrid PLG + SLG motion right now? Drop thoughts and feedback in the thread 👇
AI Coach Agent - pricing question
Does anyone have any insights into AI coach pricing? My product group is working on a product using a 3rd party service and they have quoted us $0.23 per interaction for 965,000 interactions in a year. We are using our own data and I would say the AI coach is pretty standard. My product people think that pricing is too high. I would appreciate any insight from anyone on this.
Where does your product catalog live?
One of the hardest things to sort out in pricing seems to be wrangling the product catalog. Sales need it in CRM/CPQ systems. Finance need it in Billing/ERP systems. Product/Pricing need it in ... where? When products have usage-based pricing or entitlements, many ERPs can't handle it, and the product catalog spreads into a third system that handles usage, credits, entitlements, etc. We see how this crosses organization boundaries, lacking a single clear owner, and keeping everything in sync becomes super important - and very difficult to keep 100% correct over time. And most likely, someone in your organization is using Excel in some part of this process. Curious to hear how others split the product catalog, both horror stories and success stories.
Tech stack for monetization (incl. pricing/entitlements)
I just added this to a comment so sharing for visibility: The SaaS Monetization Tech Stack Billing has Stripe. Analytics has Amplitude. Feature flags have LaunchDarkly. Etc. But the system that decides when to upsell a user, what usage limit to enforce, or which paywall variant to show? That usually lives in a tangle of product code, feature flags, and duct tape... A few things that have came up: - The fragmentation problem is worse than most teams realize. Entitlement logic ends up duplicated across billing, product code, and feature flags. A simple pricing test that should take a day takes weeks because three systems need to stay in sync. My CTO (ex-Atlassian, Dropbox) is really good at explaining the risks/headaches from this "brittleness" to technical folks! - Mobile solved this years ago. RevenueCat and Superwall own the monetization layer for iOS/Android apps. Web SaaS has no equivalent — most teams are still stitching it together manually. The above content is really resonating with an ex-Revenue Cat guy who is now Head of Product at a web SaaS business. - The main benefit of getting it right (in-house or via tooling) is experiment velocity
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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?
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