I Got Fired Multiple Times for Being Right About the Future. Here’s the Pattern I Learned.
TL;DR: I was fired three times for the same reason: I saw where the market was going, built the system to get there, and became “too expensive” once the system was in place. Being right about the future is…
The Content Engine Blueprint: How to Build a System That Produces Quality at Scale
TL;DR: Most B2B content teams are stuck in a treadmill model — one writer, one post, one publish cycle, repeat until burnout. The alternative is a content engine: a repeatable system that separates idea generation from production from distribution,…
I Run 5 Content Properties Without a Content Team. Here Is the Automated Engine.
TL;DR: I run five content properties publishing 30+ pieces of content per week across kokasexton.com, chiefcontentmarketer.com, visibilitycreatesopportunity.com, signalscout.kokasexton.com, and bizflix.kokasexton.com. No writers. No editors. No content managers. Just automated workflows, precise editorial standards, and the right integration between AI…
The Profile View Flywheel: How One LinkedIn Feature Turns Cold Outreach Into Warm Inbound
TL;DR: LinkedIn profile views are the only cold touch that costs nothing, gets flagged as spam, or requires a connection. When you visit a profile, LinkedIn tells them you were there – and most people look back. That look-back…
The MQL Is Dead: How Buying Group Scoring Replaced Lead Generation (And How to Rebuild Yours)
8 Ways to Use LinkedIn Profile Views for Pipeline (Without a Single Cold DM)
TL;DR: Profile views are the most underused lever in LinkedIn sales. This is the eight-play playbook: the warm-up flywheel, sniper timing, the double-tap, the ABM committee bomb, follower conversion, sequence openers, data arbitrage, and algorithm steering. Every play uses…
The Comment Engine: How Strategic Commenting Builds More Pipeline Than Posting
The ICP Definition Problem: How Narrow Targeting Is Costing You Millions
TL;DR: Your Ideal Customer Profile is probably too narrow. Most B2B organizations define their ICP using firmographic filters that exclude 40-60% of accounts that would actually buy from them. The result is not cleaner pipeline — it is artificially…
Why Most B2B AI Content Strategies Fail (And the Framework That Actually Works)
TL;DR: Most B2B teams are using AI to create more content, not better content. The result is an internet drowning in AI-generated sameness while buyers tune out. The solution is not to stop using AI — it is to…
I Built LinkedIn’s Social Selling Strategy from Zero. Here’s How You Can Build Yours.
TL;DR: I joined LinkedIn in 2005, fresh out of Iraq, and built the social selling strategy that turned Sales Navigator from an internal experiment into a global go-to-market motion. The same principles that worked then — being a knowledge…
The AI Marketing Productivity Paradox: Why More Tools Mean Less Speed
TL;DR: B2B marketing teams are adopting AI tools faster than ever — but productivity is actually declining. The average team now uses 8-12 AI tools, and 61% of marketers report they are spending more time managing tools than doing…
The Pipeline Dashboard Rebuild: Metrics That Actually Predict Revenue
TL;DR: Most B2B pipeline dashboards measure activity, not outcomes. MQL volume, email opens, and SQL conversion rates tell you what happened — not what will happen. I rebuilt my measurement stack three times before landing on a framework that…
ICP Is a Strategy, Not a Slide Deck: How to Build a Revenue-Qualifying Ideal Customer Profile
Content Repurposing at Scale: How One Asset Becomes Twelve Revenue-Driving Pieces
TL;DR: Most B2B content teams create one asset, publish it once, and move on. That is leaving 90 percent of the value on the table. A proper content repurposing system turns every long-form piece into 12 distinct assets across…
From Hootsuite to SignalScout: How My Social Selling Stack Evolved
TL;DR: My social selling stack went through four distinct phases over a decade: scheduling (Hootsuite), listening (Sprout Social), analytics (LinkedIn native), and finally signal detection (SignalScout). The evolution mirrors the broader shift from broadcast to signal-based GTM. Here is…
