Thank You for Vibe Pricing

In this episode of Thank You for Vibe Pricing, Chargebee's series on teams scaling AI monetization, we're joined by Annika Schmid, PM for PostHog AI. Annika shares instructive notes on: PostHog's cost-proximate, yet unconditionally value-first pricing philosophy, why PostHog treats pricing first and foremost as a product feature rather than a revenue lever, how they designed PostHog AI's free tier by working backwards from persona and beta usage data, how they navigated the question of whether AI should be priced as a horizontal platform layer or rolled into individual product pricing, how the billing team and product PMs divide ownership on monetization bets, and Annika's predictions on the two paths that AI monetization models can take — both centred on consumption — in the near future.—Chapters:00:00 - Episode highlights02:16 - What's PostHog?03:11 - Annika's role at PostHog AI04:41 - (Principally) pricing closer to cost06:37 - "Default alive" monetization08:58 - A methodical view of costs11:39 - Designing PostHog AI's free tier14:38 - Factoring in LLM volatility18:51 - Charging for consumption21:54 - Pricing as a product23:05 - Usage and spend reporting25:53 - Monetizing a multi-product AI layer32:18 - Where pricing hypotheses originate35:14 - MoM growth metrics that matter37:07 - Pricing PMs and the billing team39:47 - What's more exciting than pricing AI42:17 - The habit of changing prices often44:37 - Two (near-future) pricing predictions47:02 - AI pricing as an existential question— Referenced:PostHogAWSCloudflare PostHog's pricing principles8 learnings from 1 year of agents – PostHog AI Non-obvious pricing advice for startups Glue teams vs back-office teams AMA w/ James & Tim (founders of posthog) — Connect with Annika:LinkedIn — Connect with Vinay: LinkedIn: —Connect with Ariela:LinkedIn—About Chargebee:Chargebee builds foundational billing and monetization infrastructure for the dynamic, fast-scaling AI-era business models — from seats and usage, to agents, outcomes, and hybrid structures. Built for product, finance, and GTM teams that treat pricing as a growth lever.

In this episode of Thank You for Vibe Pricing, Chargebee’s new series on scaling AI monetization, we're joined by Zona Zhang, who leads monetization at Clay.Zona walks us through Clay's deeply value-led credit-based pricing model (among the 6 consequential GTM bets that helped them grow from $1m-$100m ARR in 2 years)—why monetization sits at the intersection of finance and product, how they’ve designed credits as a currency for unlocking modules of usage and exceptional, full-funnel growth, why and how they iterated on differentiating Clay’s enterprise pricing from the very early days, how they introduced credit rollovers after observing high "restart rates" from episodic users, why engineers at Clay review AI P&Ls as a core part of the product development process, and Zona's thesis on how AI monetization will evolve in the coming years, and much more.—Chapters:00:00 - Episode highlights 00:57 - Episode intro03:37 - Zona’s career path 04:47 - Why pricing sits under finance at Clay06:37 - AI credits as “currency”07:20 - Reverse trials and fixing the education gap08:57 - Pricing “modules of usage”10:40 - What sets Clay’s PLG motion apart13:48 - The thesis behind credit rollovers 15:45 - Strategies for solving usage friction18:58 - Formulating Clay’s enterprise pricing24:05 - Scaling pricing across GTM motions25:30 - Two things that matter for discounting 27:42 - Unit economics and engineers31:24 - The billion-dollar AI pricing question34:36 - “We look at dashboards a lot” — Referenced:Introducing Clay Pricing 3.0 Varun Anand (Co-founder, Clay) Kareem Amin (Co-founder, Clay) The GTM Inflection Points That Powered Clay to a $1B+ Valuation Asana Custom Signals (a Clay feature) Snowflake Databricks OpenAI Everett Berry (Head of GTM engineering, Clay) — Connect with Zona:LinkedIn — Connect with Vinay: LinkedIn —Connect with Ariela:LinkedIn —About Chargebee:Chargebee builds foundational billing and monetization infrastructure for the dynamic, fast-scaling AI-era business models — from seats and usage, to agents, outcomes, and hybrid structures. Built for product, finance, and GTM teams that treat pricing as a growth lever.

In this inaugural episode of Thank You for Vibe Pricing, Chargebee’s new series on scaling AI monetization, we are joined by Aisling O’Reilly, Head of Pricing at Intercom.Aisling talks about: Intercom’s complete pricing overhaul and why they risked multi-millions in ARR in the short run to chalk out a path of durable, customer-first growth, how they designed Fin’s pioneering outcome-based model (and chose it over a usage-based variant), the operational readiness that allowed them to price for AI resolutions, how and why Intercom PMs are evolving into more commercial GMs, how the future of outcome-based pricing will likely capture even more nuanced forms of value, and so much more.— Chapters:(00:00) Episode highlights (01:41) Episode intro(03:53) A “sink-or-swim” pricing moment (06:55) Origins of Fin’s pioneering model(09:56) A CTO-led transformation(13:16) Being ready for pricing outcomes(15:55) Is a dollar too expensive?(18:48) Inventive predictability unlocks(22:57) A bet on falling infra costs(26:15) “It took that one PM”(30:27) No perfect pricing model(32:51) Outcomes beyond outcomes (37:25) The intersection of product and pricing(41:34) Strong-minded finance teams(45:09) The problem with (cost-plus) AI credits— Referenced:Fin AILinkedIn Darragh Curran: Eoghan McCabe: Pricing AI agents: What does ‘value-based pricing’ really mean for AI? —Connect with Aisling:LinkedIn—Connect with Vinay: LinkedIn —Connect with Ariela: LinkedIn —About Chargebee: Chargebee builds foundational billing infrastructure for the dynamic, fast-scaling AI-era business models — from seats and usage, to agents, outcomes, and hybrid structures. Built for product, finance, and GTM teams that treat monetization as a growth lever.

This is Thank You for Vibe Pricing — a new Chargebee series chronicling field notes from teams at the frontier of AI monetization. Tune in for sharp, in-the-thick-of-it operator breakdowns of what it really takes to price, package, and scale AI products in the real world.