Jared R. Real anecdote from my consulting work: Problem: A highly experienced mortgage broker in Australia came to me asking for a new website. On the surface, this was a commoditized request — if I sold “web design,” I’d be competing with $300 offshore vendors. Low leverage, low differentiation. Insight: The website wasn’t the problem — decision confidence and growth was. Using an Iceberg-style approach, I kept digging past the stated need (“credibility”) and uncovered the real objective: he wanted to triple revenue in the next 12 months, not just “look professional.” Playbook: I reframed the conversation from deliverable → business outcome. Used SPIN sales framework to quantify the cost of staying where he was (lead flow bottlenecks, reliance on referrals, capped deal volume) and the upside of solving it. Positioned the website as just one component of a broader demand and conversion system.
Anchored value using a 3-option pricing structure (Silver / Gold / Platinum) tied to impact, not features.
Proof: Deal size increased from $997 → $4,997 Closed in one meeting, no follow-ups Buyer chose the highest package because it aligned with his growth goal
Outcome wasn’t “a website,” it was a decision to change trajectory
The key wasn’t persuasion — it was helping the buyer see the real problem clearly and giving them a path to act on it!
Love this format, Jared R. — especially Problem → Insight → Playbook → Proof. 🧩 The Problem: Even with strong AI stacks and good inbound/outbound signals, I consistently see reps struggle to convert qualified conversations into next steps. The issue isn’t lead quality — it’s decision friction inside the live sales conversation. 💡 The Insight: Buyers don’t decide logically first — they decide emotionally, then justify logically. Most sales processes (and AI copilots) optimise what to say, but not how buyers internally process risk, trust, and change. 🛠️ The Playbook: I’ve been using an NLP-informed consultative framework that maps:
Buyer motivation states
Hidden objections (unspoken, not stated)
Language patterns that move conversations from interest → commitment
This runs on top of existing CRM + AI tools, not instead of them. Think of it as the “decision layer” in GTM. 📈 Early Proof: In coaching BDRs and founders, this has helped:
Increase booked-to-held rates
Shorten deal cycles
Improve close confidence without pressure tactics
Happy to share a concrete conversation example if useful.
Hey Joe — welcome 👋 Love the combo of founder → exit → enterprise sales (and still a student of marketing). That “forever student” mindset really shows in your posts. Big fan of your take on moats > better ads — especially the emphasis on first-party data, physical presence, and human voice. Feels like a lot of brands are relearning fundamentals the hard way. I’m Jason, based in Australia — background in sales + GTM, currently deepening my SaaS / enterprise motion and swapping notes with people who actually build and sell, not just theorise. Would love to compare notes sometime on post-acq growth or how you think about unfair advantages in 2026 👀
Hey Larry — welcome to RevGenius 👋 “Accountant by training. Marketer by misadventure.” is gold 😄 Love the no spaghetti on the wall philosophy — a lot of SMBs could save years (and money) with that mindset alone. Also respect for clarifying rugby union (important distinction 😆), plus F1 and rescuing 30+ animals… that’s next level. Great to have you here — looking forward to learning from your direct mail war stories.
Hey Lee — welcome! 👋 Senior demand gen at Cognism is a serious seat 💪 Love that you started with cold calling — feels like everyone who’s good at GTM has that scar tissue somewhere 😄 Also congrats on the honeymoon trip to Canada — amazing choice. Any spots you’re most excited about?
Hey Dane 👋 Loved your intro — building and running a local service business to 90+ five-star reviews is no small feat. Respect the focus on consistency and clear communication. I’m curious — as a founder-operator, what’s been the hardest part of scaling the business so far: lead flow, team consistency, or just protecting your own time? Also +1 on travel and brainstorming ideas — always good signals 😄
Hey Iñigo 👋 Loved your intro — especially how you frame GTM as turning operations into real revenue leverage. That’s a perspective I don’t see articulated clearly enough. I’ve spent the last few years working with sales & GTM teams on the human decision-making side of deals (how buyers actually decide under uncertainty, not just how funnels are designed). Curious: as you’re building GTM at Cubbo, where do you see conversations breaking down most today — early discovery, internal buy-in, or late-stage decision stalls?
👋 Hey RevGenius! I’m Jason Gan 📍 Based in Sydney, Australia 🔗 LinkedIn: https://www.linkedin.com/in/jason-gan/ 💼 What I work on: I help revenue teams improve pipeline quality and conversion by applying neuroscience-backed, buyer-centric consultative selling frameworks — especially in complex, high-consideration deals. Over the last 10+ years, I’ve worked across sales, marketing, and consulting, and more recently I’ve been focused on how modern GTM teams can:
Generate fewer but far more qualified leads
Run stronger discovery conversations
Reduce friction in decision-making
Convert interest into revenue more predictably
🧠 My angle (why neuroscience): Most sales problems aren’t tooling problems — they’re decision-making problems. I’m particularly interested in how:
Cognitive load
Trust formation
Risk perception
Value framing
…impact what buyers actually say yes to — and how sellers can design conversations, messaging, and processes that align with how the brain makes decisions (instead of fighting it). 🎯 Why I joined RevGenius: To learn from operators who are building what’s actually working in GTM today, and to contribute frameworks around:
Buyer-led discovery
Sales + RevOps alignment
AI-supported (not AI-replaced) selling
Turning conversations into conversion, not just activity
Always happy to swap notes, share frameworks, or jam on real-world use cases. Excited to be here 🙌
