What's new in AI pricing: giving up on the idea of value-based pricing? PostHog just announced new AI pricing that's disruptive in a way that might upset pricing experts. They're not trying to tie pricing to outcomes. They're not charging based on seats. The model is simple: it's a pass-through of AI costs w/ a 20% markup. And every customers gets $20 of free usage to try it out. What's to like about this model: (a) it gives everyone access to AI features & lets them choose how they want to use them, (b) it feels fair -- it's pretty hard to argue w/ or negotiate against the model, and (c) it positions PostHog's value as *elsewhere* -- they have 10 other products they can monetize & AI can be used across all of them. I see this as a step toward a potential future direction* that might look something like this: 1. Customers choose between self-managed/BYO LLM and managed AI. Many folks are probably sitting on millions of $$ of unused AI tokens from OpenAI and Anthropic. Meanwhile they're getting overage bills from AI vendors in coding & other categories. Enterprises would (IMO) love to easily plug their unused credits into their favorite 3rd party tools. It would mean fewer AI vendors to manage, fewer tokens to predict & way less waste. The margins on managed AI would likely come down substantially (similar to PostHog's 20% markup) since this would be "competing" with BYO. 2. Vendors would monetize elsewhere, likely in more predictable subscription/SaaS models (although PostHog's products are all usage-based). This fits into how enterprise buyers traditionally like to pay for technology. And it forces vendors to clarify their value-add above & beyond the AI tokens (no room for AI wrappers). 3. This would open the door for 3rd party products to be sold *through* OpenAI & Anthropic, similar to the AWS marketplace model. If 3rd party products help sell more OpenAI tokens, why wouldn't you give OpenAI sellers quota relief on these products? And why wouldn't Google & Anthropic follow suit? Anecdotally, selling via the AWS marketplace can result in 60%+ faster procurement cycles. This could be win-win for the LLMs & the app vendors. --- What's exciting about this direction is that it would *simplify* buying, accelerate AI adoption & align incentives across the ecosystem. Although it does feel like we'd be going back-to-the-future. *I don't see this model applying to every product. It'll likely apply best to developer-focused tools and/or bigger platforms w/ a lot of AI usage. The folks who would be most insulated would be "service-as-a-software" players who deliver tangible work products/outcomes. #ai #aimonetization #pricing
Everyone in B2B tech uses AI, relatively few see real GTM impact. Maja and I recently surveyed 195 B2B GTM leaders. Three-in-four said they feel top-down pressure from the CEO & Board to adopt AI. But the impact is a...
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In this episode, Kyle talks with Fivos Aresti, co‑founder of Workflows.io, about the four‑pillar outbound playbook that drove their growth to $2M ARR in 2025. They stress a hybrid approach that blends manual cold outreach for Tier 1 accounts with AI‑enhanced,...
Seemingly everyone is replacing point-and-click with a prompt bar. Design no longer differentiates. We're going to need to differentiate on the *agent* experience instead. One 🔥 example from Replit : The product helps you improve your prompt. Most of us...
I'm having some major cognitive dissonance about startup M&A. It *seems* to be 🌶️ with a record number of acquisitions according to Peter Walker . Yet Jason M. Lemkin & others are pointing out that in SaaS "the exits... are...
If you're searching for GTM tech this Black Friday, start with these: Maja and I asked our communities about their favorite B2B GTM tools in 2025 including which were "most impactful" and which are "must try". 195 software GTM leaders weighed...
I thought there'd be consensus on how to monetize AI by now. I was (mostly) wrong. There's outcome-based pricing (see: Intercom, Crescendo, Chargeflow), credit pricing (see: Salesforce, Lovable), work-based pricing (see: Imagen, EvenUp), hybrid pricing (see: Monday, Clay), and lots more. The...

In this episode, Yaakov Carno examines the rise of the prompt‑bar as the new front‑door UX for AI‑enabled SaaS products, mapping over 40 real‑world examples from Canva to Notion. He explains how the traditional onboarding flow has shifted into a...
Churn isn't a Customer Success problem. It's a *business* problem. And it might be why you miss the 2026 plan. Just look at the 3-year ARR impact of different growth initiatives^ for a typical $10M ARR SaaS co: - Increase prices...

In this episode Kyle Poyar talks with Hamish Grant of SafetyCulture about how they built a suite of AI agents to super‑charge their marketing and sales operations. They detail four workflows—platform‑agnostic lead enrichment, an AI‑powered inbound BDR that drafts personalized...
B2B marketing whisperer Emily Kramer from the beloved MKT1 newsletter dishes on which channels are hot or not in 2025. You might be surprised about eBooks. Do you agree? Chime in below. --- If you <3 this clip, you'll love the full episode...

Kyle Poyar analyzes ChartMogul data to show that the rare SaaS startups that break the $20 million ARR barrier do so by continuously improving their revenue mix—raising ARPA, boosting expansion and retention—rather than relying on early‑stage momentum alone. The outliers double‑digit...

Kyle Poyar argues that raw traffic is becoming a misleading growth metric as AI‑driven search, especially ChatGPT, delivers far higher‑intent leads that convert six times faster than Google. He shares seven insights from Webflow’s VP of Growth, including the need...

Surveying 195 software GTM leaders, the inaugural 2025 State of B2B GTM report finds companies juggling heavy channel experimentation—an average of five core GTM channels plus 5.5 experiments—while inbound (23%), outbound (19%) and account‑based GTM (18%) remain the most common...

SaaS and AI startups largely have broken pricing: founders default to flat fees, feature bundles, seat-based and usage models that misprice customers and leave revenue on the table. Poyar highlights concrete fixes — e.g., add premium editions (50–100% higher price...
Fascinating new data from Ramp: Paid AI adoption actually *declined* by 0.7% in September. This was the second decline of the year, but far more material than the one in June (0.1%). Other highlights from the data: - 73% of US...
A new look inside startup growth from zero to $25 million ARR