Koka Sexton

TL;DR AI creates ICP clarity by processing behavioral signals at scale — engagement patterns, buying committee dynamics, and competitive positioning data that manual analysis misses entirelyThree methods: behavioral signal analysis across your best customers, pattern recognition in conversion data,…

This Week in Koka’s AI Operations — June 18, 2026 This Week in Koka’s AI Operations Koka Sexton · June 18, 2026 · 8 min read TL;DR 16 articles published this week across KSB, CCM, and MWC — including…

AI Marketing Is Moving Faster Than Your Strategy. Here’s What I’m Seeing. I’ve published 15 articles about AI in B2B marketing over the last four weeks. Not because I set out to write that many — but because the…

TL;DR 12 automated cron jobs run my content operations, CRM pipeline, and quality control across 5 content properties without manual interventionThe system catches encoding corruption, broken links, banned words, and underperforming content that human review would missEach job runs…

Last Tuesday morning I sat down at my desk, opened my outbound queue, and wrote 27 personalized outreach drafts in one session. Not a single one started with “Hi {first_name}.” Not a single one was templated. And not a…

TL;DR I spent a decade building content across six platforms. When I tried to find my own methodology, I couldn’t. Everything was scattered across Notion, Google Drive, LinkedIn, and YouTube.I built a knowledge vault that turned 241 fragmented pages…

TL;DR AI agents are the most overhyped and underutilized technology in B2B marketing right now. Everyone’s talking about them. Almost nobody is using them correctly. The difference between AI hype and AI leverage is simple: agents that replace thinking…

TL;DR Campaigns have end dates. Revenue systems don’t. The B2B companies winning in 2026 aren’t running better campaigns. They’re running fewer campaigns and building more systems. A revenue system is infrastructure: always-on demand generation, automated lead qualification, signal-based outreach…

TL;DR Most LinkedIn creators are stuck in a post-to-post cycle. They write, publish, wait, repeat. No compounding. No system. Just hoping the algorithm picks them up this time. A content flywheel turns each post into fuel for the next…

TL;DR Traditional lead scoring assigns arbitrary points to arbitrary actions. Buyer signals read actual intent from digital behavior—and they’re 3x more predictive of conversion. This post breaks down the 5 categories of buyer signals, how to capture them, and…

TL;DR I publish daily across 4 content properties with a team of… me. No writers, no editors on payroll, no agency retainer. Here’s the system. The 4 S’s of content operations: Source, Structure, Schedule, Sweep. Each one removes a…

TL;DR Social selling isn’t a funnel where you pour leads in and deals fall out. It’s a flywheel—slow to start, unstoppable once spinning. The reps who win aren’t the ones with the best pitch. They’re the ones who show…

TL;DR Publishing across 4 content properties without a quality system is a recipe for content landfill. I built a 3-layer quality machine that catches errors AI misses—at write time, during editing, and via automated weekly sweeps. Layer 1 enforces…

TL;DR I didn’t just use AI to write faster — I built an entire AI-native marketing operating system in 6 weeks The output: 30+ articles across 4 properties, 12 automated cron jobs, a 916-page knowledge vault, 1,220 social posts…