
Your Buyer Doesn’t Care About ROI. They Care About Not Getting Fired.
Why career risk, not financial return, drives every B2B buying decision
Deep-dive analysis on the systems that create, capture, and convert demand: paid acquisition, content, SEO/GEO, AI-native GTM, and revenue architecture.
Written by

Elom
GTM, growth, and revenue systems operator with 12 years across Fortune 500s, fintech, and B2B startups. Building at the intersection of AI, data, demand, and revenue.

Why career risk, not financial return, drives every B2B buying decision

How the best B2B companies run PLG and sales-led simultaneously without breaking either

Most teams are deploying agents where workflows would do. Here’s how to decide.
Landscape analysis of GTM, growth, marketing, and revenue shifts.
How top teams build compound revenue engines — data layers, workflow activation, deployment.
Agents, context engineering, multi-agent systems, and the end of manual outbound.
Paid ads, content engines, SEO/GEO, audience building, lifecycle capture, and creative testing as revenue infrastructure.
Real experiments with real numbers — including the ones that didn't work.
Trends, tactics, and gaps distilled from practitioner data across the full demand and revenue system.
Deep-dives grounded in real implementations, real data, and honest takes on what failed alongside what worked. No listicles, no sponsored content, no fluff. Each essay goes deep on one part of the demand and revenue system, from first touch to closed revenue.
Deep dives on demand creation, GTM, growth engineering, and revenue systems. Free.