{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Tiered Pricing in the AI Era: What Actually Works (with Dan Balcauski)","description":" Tiered pricing is becoming the simplest way to sell AI-powered SaaS without turning your pricing page into a technical explanation. In my interview with Dan Balcauski, founder and Chief Pricing Officer at Product Tranquility, we talked about why AI is forcing new pricing decisions earlier than ever\u2014and why \u201cgood, better, best\u201d packaging often works because it keeps buying decisions clear while helping companies manage real AI costs.  The AI era is making pricing margin-aware again. Tiered pricing helps you protect margins without forcing buyers to learn your cost structure.  About Dan Balcauski Dan Balcauski is the founder and Chief Pricing Officer at Product Tranquility, where he helps high-volume B2B SaaS CEOs define pricing and packaging for new products. He is a TopTal certified Top 3% Product Management Professional and helps teach Kellogg Executive Education course on Product Strategy. Over the last 15 years, Dan has managed products across the full lifecycle\u2014from concept incubation to launch, platform transitions, maintenance, and end of life\u2014across consumer and B2B companies ranging from startups to publicly traded enterprises. He previously served as Head of Product at LawnStarter and was a Principal Product Strategist at SolarWinds. Why Tiered Pricing Is Winning in the AI Era For years, SaaS companies could price mostly around value because marginal costs were relatively stable. AI changes the math. Dan points out that companies are now cutting meaningful monthly checks to model providers, and leadership teams can\u2019t pretend cost-to-serve is irrelevant anymore.  That\u2019s a big reason tiered pricing is showing up everywhere right now. It gives teams a way to: Keep the offer simple for buyers Put premium capabilities where they belong Create a natural upgrade path that aligns with value and cost Most importantly, tiered pricing keeps you out of the weeds. The customer conversation stays focused on outcomes, not infrastructure. What Makes Tiered Pricing Actually Work Dan\u2019s point isn\u2019t \u201cjust shove AI into the top tier.\u201d Tiered pricing works when plan differences are easy to understand and tied to value drivers customers already recognize.  Here are three practical patterns from the discussion that hold up well in the AI era. 1) Put AI in higher tiers when it boosts a user\u2019s output If an AI feature makes a person more effective\u2014faster drafting, better triage, higher quality responses\u2014tiering can be straightforward. The buyer already understands why a \u201cBetter\u201d or \u201cBest\u201d plan costs more: it changes the capability of the team.  This is also why seat-based pricing can still make sense for many AI-enhanced tools. If the value driver is still \u201chelp my team do better work,\u201d then users\/seats remain an intuitive anchor.  If AI increases team productivity, tiered pricing can stay aligned to seats\u2014because seats still map to value.  2) Use add-ons when AI changes the value driver Sometimes AI doesn\u2019t just \u201chelp\u201d the user\u2014it replaces work entirely. When that happens, forcing it into the same tier structure can distort value and create confusion. Dan points to Intercom as a strong example of handling this well: The core support platform stays priced per user (agents), because the value driver is agent effectiveness. Their AI agent (\u201cFin AI\u201d) is priced separately because the agent isn\u2019t involved\u2014the value is the number of issues the AI resolves. That\u2019s why per-resolution pricing makes sense.  3) Don\u2019t make buyers learn token math Dan\u2019s strongest warning is about token pricing. Customers don\u2019t want to learn what tokens are, and sales teams don\u2019t want to explain them\u2014especially when you\u2019re selling a business outcome like faster support or better customer experience.  Token-based pricing also shifts the conversation away from value and toward your vendor bill. As Dan puts it, customers don\u2019t care about your infrastructure costs, and pushing that complexity into the buying motion adds friction.  If your tiered pricing requires a footnote explaining tokens, you\u2019re adding sand in the gears.  A Tiered Pricing Checklist for AI Features Here\u2019s a simple way to apply this immediately: Good: Core workflow value, minimal AI (or AI where costs are predictable) Better: AI that boosts team output (speed, quality, throughput) Best: AI that drives outcomes at scale (automation, deflection, resolution) Add-on: Use when AI has a different value driver than the base product (example: per-resolution)  Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you\u2019re a seasoned developer or just starting, there\u2019s always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let\u2019s continue exploring the exciting world of software development. Additional Resources Setting Your Development Pricing Fixed or Hourly Project Pricing A Project Management and Pricing Guide for Success Building Better Foundations Podcast Videos \u2013 With Bonus Content ","author_name":"Develpreneur: Become a Better Developer and Entrepreneur","author_url":"https:\/\/develpreneur.com\/category\/podcast\/","html":"