Writing

Thinking about revenue systems,
cybersecurity GTM, and AI.

Essays and analysis adapted from LinkedIn and original long-form pieces. Most of what I write connects product-market dynamics to operational execution.

Your capacity plan is lying to you. Here is what it misses.

Annual target divided by reps divided by quarters equals a plan that ignores ramp time, attrition, and seasonality. Here is what happens when you model what actually matters.

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You don't have a lead volume problem. You have a channel mix problem.

Most marketing teams set MQL targets by taking last quarter and adding 15%. That's guessing. Bottom-up funnel math reveals where the real leverage is, and it's almost never more volume.

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If your sales cycle is over 180 days, here's where the real bottleneck is

It's not your reps. After working with dozens of enterprise GTM teams, I've seen three patterns that consistently add 60-90 days to complex deals, and none of them live on the sales floor.

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Your GTM model and your revenue flow model are not the same thing

Most RevOps teams treat them as interchangeable. They're not. Here's the distinction that determines whether your infrastructure matches how revenue actually flows.

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Sequencing GTM motion transitions: PLG to sales-led to partner-led

Five evidence-backed principles for GTM leaders adding sales-led and partner-led motions without destroying what's already working.

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Your field team is your best market research. AI makes it actionable.

Most companies try to bridge the field-to-product gap with quarterly feedback sessions or Slack channels. It doesn't scale. Here's a strategy that actually works.

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The GTM teams that win master fewer tools, not more

70% of companies report AI adoption, yet quota attainment remains flat. The problem isn't the tools; it's the mastery gap. Here's why the best GTM teams are simplifying, not stacking.

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