Technical marketing leadership, explained simply

Stephen’s Hill

Field notes on RevTech, MarTech, and demand generation from someone who’s built the stack, not just read about it — plus consulting for teams whose systems have outgrown the way they were built.

Complexity is the enemy. I make it make sense.

Most martech and AI content is written to sell you something or impress you into silence. I write to do the opposite — take apart the stack, the data, and the AI hype cycle, and explain what's actually happening underneath, in plain language. I spent 15+ years building demand generation, marketing operations, and analytics infrastructure for enterprise organizations, most recently running Digital Marketing, Demand & Digital Operations for the Americas at a $20B commercial real estate firm. I write and consult from that experience — not from a vendor deck.

$4B in marketing-attributable revenue architected at a $20B enterprise
4x YoY lift in Sales Acceptance Rate from a lead-qualification rebuild
13 person cross-functional team built and led from the ground up

How I think about the stack

Every martech environment I’ve ever inherited looks different on the surface and identical underneath. Same four layers, different tool names.

DATA SOURCES CRM · Web · Ads Product · Support MARTECH CORE Automation · CRM Segmentation AI LAYER Scoring · Copilots Governance REVENUE Pipeline · Retention Attribution

The tools change every year. The job is making sure data keeps flowing left to right without a human babysitting every handoff.

AI Canopy

An interactive tool I built to map the AI product landscape by category — the same map I pull up live during vendor demos, so a pitch gets judged against the whole canopy, not just the one branch the vendor wants you looking at.

Sales AI MarketingAI GTM AI Data &Analytics AgenticAI Ops &Governance ContentAI

Built for my own demos, useful for anyone else trying to figure out where a vendor's pitch actually sits.

Explore AI Canopy

Latest from the blog

Practical, occasionally sarcastic field notes for marketing and revenue operations leaders — written to be read on a coffee break, not assigned as homework.

MarTech & AI

Building the Revenue Stack

How to combine martech and AI tools without adding to the pile — and without losing the humans who actually run the machine.

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Industry Trends

The Great Consolidation

A tour through two years of marketing, sales, and data-AI startups getting bought, folded in, and quietly switched off — and what it says about where the CRM giants think the value lives.

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AI Governance

Don’t Let AI Slop Grenades Blow Up Your Business

How smart humans use simple governance rules to avoid Shopify’s AI slop grenade problem.

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Consulting

Fractional and project-based leadership for teams whose stack, data, or lead funnel has outgrown the way it was built. Full details on the consulting page.

MarTech Architecture

Stack audits, rationalization, and governance that stop the re-fragmentation cycle.

Demand Generation

Lead scoring and qualification rebuilds that get Sales to actually trust Marketing again.

Audience Data & Measurement

Segmentation and attribution systems that change what your team does next, not just what it reports.

AI Enablement

Practical AI tool evaluation and governance, from two years of hands-on use — not vendor-deck optimism.

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