Hey y,all, happy Friday! Wanted to share my key takeaways from our Office Hours session yesterday with Mark Walker and Tina Kung from Nue.io for those that couldn't make it. For context, Mark and Tina have spent the last two decades deep in the world of CRM, Billing, and ERPs. Tina has built out billing and CPQ products at Salesforce, Zuora, and Oracle. They're building Nue to be the revenue engine for the AI era and are powering companies like OpenAI, Superhuman, Glean, and Chili Piper. Here are my favorite learnings from the session: Takeaway #1: The PLG/SLG binary is false. Most companies will operate in both motions simultaneously, and the customer experience should flow seamlessly between them. Takeaway #2: Flexibility is the meta-strategy. In the AI era, product roadmaps, pricing models, and customer needs change too fast for rigid packaging. Build for adaptability. Takeaway #3: Credits and committed spend are the bridge. They preserve PLG simplicity while enabling SLG complexity, and let customers gradually adopt new services without re-contracting. Takeaway #4: Professional services are a growth lever, not a cost center. Embed them in committed-spend contracts, make them self-serviceable, and think of them as usage products. Takeaway #5: Don’t cancel-and-replace. Whether transitioning a customer between motions or introducing new pricing, preserve continuity. Friction kills expansion. Takeaway #6: Involve finance early. The CFO’s perspective on revenue recognition, SKU management, and reporting should shape packaging decisions from the start. Takeaway #7: System architecture matters. Disconnected billing, CPQ, and self-service systems are the bottleneck. Unified platforms are required to execute these strategies. Read the full recap with for color from Mark and Tina here: https://newsletter.pricingsaas.com/p/how-to-make-plg-slg-work-in-the-ai Otherwise, have a great weekend!

Hi all, I'm a technical product manager for Usage Cloud at DigitalRoute, based in Sweden. Been working with real-time prepaid credits and batch-based pricing, charging and billing since 2004 at scale - also deep knowledge of usage data mediation (the stuff that happens to get the messy real-life operational system events data in shape so it _can_ be priced). I have a fairly solid grasp of the entire quote-to-cash process. I co-host DigitalRoute's invite-only Usage Unlocked roundtable every month or so, where we discuss all things related to usage and pricing. I'm also a Wardley mapping nerd building the collaborative mapping SaaS https://mapaware.io (feel free to try it out), and I co-founded the Blockchain Sweden industry association. And overall tech nerd.

Had an interesting conversation this week on credit based pricing and I know this group has the experience, curiosity, and expertise. I’d love your thoughts on this little AI Ramblings blast I put out once in a while. https://www.linkedin.com/posts/akshaypatel07_productmanagement-venturecapital-privateequity-activity-7425524767883169792-SdgG?utm_source=share&utm_medium=member_ios&rcm=ACoAAABJjBEBGcaO8S8AHEITnczM9B_WTSKa6dc

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!

Hi guys We're shooting YouTube content Tuesday about all things SaaS Pricing. If you could choose, what topics / questions should I cover ? I like 10+ min long form stuff, so don't hold back on the complex, hairy stuff! (I'll link to the finished content here when we post it)