As we discussed in our last episode, we are taking a pause from Revenue on the Rocks while Ben is on paternity leave. During this time, we'll be sharing episodes from another podcast I am co-hosting: GTM News Desk with Mark Kilens.

GTM News Desk also talks about buyer-first best practices and interviews marketers who are experts in them in their day-to-day.

In this episode, Ramli John, founder of DelightPath and author of Eureka, pushes back on the ship-it-and-see mindset sweeping through B2B. He explains why reducing time-to-value too aggressively can wreck week-one retention, how friction is actually necessary for learning, and why the teams winning with AI right now are the ones going deep on one thing, not wide on twenty.

Ramli also shares a first look at his upcoming book, Delightful Intelligence, and why the principles behind great onboarding haven't changed just because there's a chat box on the screen.

Jump into the action:

(00:00) Why AI acts like an eager intern who agrees with everything

(02:37) Pew Research: More US adults concerned about AI than excited

(04:16) AI fatigue is real—news cycles, layoffs, and broken efficiency promises

(08:27) The shortcut mindset AI is creating inside teams

(12:24) What the best AI models look like

(17:10) Meet Ramli John, founder of DelightPath

(19:59) Why great onboarding in the AI era still starts with core principles

(25:32) The EUREKA framework: a cross-functional approach to onboarding

(30:12) Why friction is not the enemy in user onboarding

(35:00) Chat interfaces vs. MCPs: What actually reduces onboarding friction

(40:44) The blank page problem and why "it can do anything" is terrible UX

(43:32) How many product updates can your users actually absorb?

(45:49) The right way to roll out a navigation change

(49:45) Why human conversations matter more than ever in a vibe-coded world

(52:16) Why Claude is beating OpenAI by playing the long game

Connect with Ramli John:

https://www.linkedin.com/in/ramlijohn/

Check out DelightPath:

https://delightpath.com/

Get Eureka: The Product Onboarding Playbook for High-Growth B2B Companies: https://www.damngravity.com/products/eureka-by-ramli-john

Produced in partnership with Share Your Genius:

https://shareyourgenius.com/

Resources:

Key findings about how Americans view AI:

https://www.pewresearch.org/short-reads/2026/03/12/key-findings-about-how-americans-view-artificial-intelligence/

The 2026 AI Index Report: https://hai.stanford.edu/ai-index/2026-ai-index-report

As we discussed in our last episode, we are taking a pause from Revenue on the Rocks while Ben is on paternity leave. During this time, we'll be sharing episodes from another podcast I am co-hosting: GTM News Desk with Mark Kilens.

GTM News Desk also talks about buyer-first best practices and interviews marketers who are experts in them in their day-to-day.

In this episode, Roee Hartuv, founder of Willingness to Pay, uncovers the truth about pricing and packaging in today’s rapidly evolving tech landscape. Roee explains why the old “good, better, best” model may no longer cut it and how the Jobs-to-Be-Done framework offers a more customer-centric approach. He goes into how businesses can transition to more dynamic pricing models, including credit and usage-based strategies, to meet the growing demands of AI-powered solutions.

He discusses real-world examples from his work with SaaS and AI-driven companies, offering practical insights on how to keep margins healthy without sacrificing value or transparency. Roee gives us a look at how AI integration is reshaping the pricing landscape and why businesses need to rethink traditional models to avoid margin erosion.

Jump into the action:

(00:00) Why pricing models are more than just numbers

(03:09) AI products need a new pricing strategy

(14:37) What Jobs to Be Done reveals about pricing and value

(15:22) The "good, better, best" model isn't enough anymore

(22:39) Should AI-driven businesses always adopt value-based pricing?

(23:33) How AI pricing examples are shaping future business models

(24:58) How AI is challenging traditional pricing models

(34:46) Pricing for enterprise and smaller customers without sacrificing simplicity

(37:27) The importance of transparency in pricing

(39:38) Why customer journeys are key to the right pricing structure

(43:46) Roee's tips on testing and refining your pricing models

Connect with Roee Hartuv: https://www.linkedin.com/in/roeehartuv/

Check out: https://www.willingnesstopay.com/

Produced in partnership with Share Your Genius: https://shareyourgenius.com/

As we discussed in our last episode, we are taking a pause from Revenue on the Rocks while Ben is on paternity leave. During this time, we'll be sharing episodes from another podcast I am co-hosting: GTM News Desk with Mark Kilens.

GTM News Desk also talks about buyer-first best practices and interviews marketers who are experts in them in their day-to-day.

In this episode, Mojo Founder Eric Holland and Messaging Whisperer Anna Furmanov reveal what's really broken about how B2B companies develop and distribute their messaging. They dig into why most customer research is pulled from the most biased data available and how to document your decision-making, not just your knowledge, so AI can actually replicate your judgment. They also provide answers to why chasing every new AI workflow is making most marketers worse, not faster. Eric and Anna challenge the idea that volume of insights equals quality of insights, arguing that a single finding that changes how your whole company goes to market is worth more than a hundred tagged Gong quotes.

Jump into the action:

(00:00) Why B2B research should make you emotional about a lip balm

(00:35) What CMOs are actually talking about at conferences right now

(04:40) How shame and fear became the default AI adoption strategy

(08:41) The difference between AI-exhausted and AI-excited teams

(12:44) Four Tendencies and what it means for AI adoption

(16:31) Why B2B messaging is broken even at well-funded startups

(19:14) What separates Mojo from just pointing Claude at your Notion

(27:26) What good writing actually feels like and whether AI can get there

(32:17) The solar plexus test and how to know when your copy is working

(34:05) Why nuance and emotion are the real gap in AI writing

(39:27) Why most insight tools are just pattern-matching machines

(44:19) How to check if your researcher is actually any good

(47:30) The danger of everyone using the same tools to find the same answers

(50:01) What B2B marketing gets wrong that B2C figured out long ago

(53:21) Go deep on one thing for a quarter

(55:22) Why you should only build what you already know cold

Connect with Eric Holland: https://www.linkedin.com/in/eric-holland-not-a-marketer/

Connect with Anna Furmanov: https://www.linkedin.com/in/annafurmanov/

Check out: https://mojopmm.com/

Produced in partnership with Share Your Genius: https://shareyourgenius.com/