Growth is physics. Build for it. Harness it. Scale it.
Momentum, friction, gravity. Three forces running through every deal, every campaign, every quarter. Ignore them and you're building on sand. Map them and you have a growth system.
We encode that map so AI executes against it, not around it.
Framework
The Physics of Growth
The ecosystem you see pulling everything into orbit? That's not decoration — it's the principle. Every growth system operates under physics: forces that compound, friction that resists, and gravitational pull that either attracts your market or lets it drift away. We diagnose which forces are working against you, then build the systems to shift them.
Momentum
Why some investments compound while others dissipate. The difference between motion and progress.
Friction
The hidden force destroying your conversion rates. Every unnecessary step, unclear message, and misaligned handoff.
Gravity
What you see orbiting to the right. Market forces pulling prospects toward you — or letting them drift. The pull that replaces outbound chase.
Latest
When Frictionless Breaks: The Signal Problem in B2B PLG
The PLG orthodoxy says remove all friction. But when your API is too easy to hit, you get usage data that looks great and predicts nothing. Deliberate friction isn't the enemy of product-led growth. It's what makes the data trustworthy.
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The Physics of Marketing: A Definitive Guide to GTM Forces
Six forces govern every B2B growth system. The Physics of Marketing framework explains why some GTM systems compound and others stall.
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The CMO Is Dead. Long Live the Chief Marketing Orchestrator
The CMO role isn't dying — it's being reforged into something bigger. Why the next marketing leaders orchestrate the entire GTM motion.
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B2B SaaS GTM Metrics: The 2026 Benchmark Report
The definitive 2026 benchmark reference for B2B SaaS conversion rates, CAC, win rates, NRR, and pipeline coverage.
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AEO Statistics for B2B SaaS (2026): 60+ Data Points on AI Search, Citations, and Visibility
60+ AEO statistics for B2B SaaS in 2026: AI search adoption, zero-click trends, LLM citation patterns, and what it means for GTM.
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Your AI Is Still a Chatbot. Here's What an Operating System Looks Like.
You gave your team AI access and called it a strategy. What you built is a faster typing pool. Here's what an operating system looks like.
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The Six Components of an Intelligence Layer
Six components make up the Intelligence Layer. Here's what each one does, what built vs. missing looks like, and why you can't skip any.
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From Chatbot to Agent Fleet: The Five Stages of AI Marketing Maturity
Five stages from fragmented prompting to autonomous agent fleet. Most marketing teams are stuck at stage one. Here's the path out.
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Context Engineering Is the Discipline. The Intelligence Layer Is What You Build.
Context engineering is the discipline. The Intelligence Layer is what you actually build. One is theory — the other makes agents work.
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The GTM Architect's Guide to Answer Engine Optimization for B2B SaaS
Answer engine optimization is reshaping B2B discovery. This guide covers entity authority, content structure, schema markup, and the Physics of Growth™ framework for AI-era GTM.
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Why Your B2B Content Doesn't Show Up in ChatGPT (And What Your CMO Should Do About It)
Most B2B companies are invisible to AI search engines because their content lacks entity signals, answer-first structure, and schema markup. Here's how to fix it.
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Fractional CMO Cost in 2026: What Series A–C Companies Should Expect to Pay
Fractional CMO retainers typically run $5,000–$15,000 per month in 2026. Here's what drives pricing and how it compares to a full-time CMO hire.
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What a Fractional CMO Should Do in the First 90 Days at a Series A Company
A fractional CMO's first 90 days should produce a GTM audit, positioning lock, demand gen infrastructure, and measurable pipeline. Here's the week-by-week playbook.
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The Math That Kills the Deal Before the Deal Is a Lead
Most B2B revenue plans fail because the funnel math is internally inconsistent. Here's how to pressure-test your pipeline assumptions before you spend a dollar.
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Fractional CMO vs. GTM Consultant: What Growth-Stage B2B Companies Actually Need
A fractional CMO builds and operates your GTM system. A consultant diagnoses and recommends. Here's how to decide which one your Series A–C company needs.
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AI Is About to Collapse the Walls Between Your GTM Teams. Let It
The Marketing/Sales split is a physics problem, not an alignment problem. AI is erasing the reason the walls exist.
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Why Every GTM Leader You Hire Fails in the Same Way
The average VP of Sales at Series A lasts 7 months. Growth makes it to 14. Same curve. It's not talent—it's physics.
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The Metrics That Turn a Revolving Door Into a GTM Engine
Pipeline targets from fundraising models aren't goals—they're hopes. The metrics GTM leaders should track at each stage.
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Why Your Best Growth Programs Look Like They're Failing
The investments that compound are the ones you're most tempted to kill. Why momentum-building programs look like failures early — and how to protect them from the quarterly axe.
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The Compound Cost of Friction
Friction in your buying process doesn't just lose the deal. It trains the market that you're hard to work with, and that reputation compounds faster than your pipeline.
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Inflection Points: When the Growth Curve Changes
The inflection point is where incremental investment starts yielding exponential returns. Most companies either scale too early or recognize the moment and hesitate. Both are expensive.
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Building 17 Nurture Paths
How lifecycle segmentation cut lead-to-value time from 47 days to 19
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Developer-to-Enterprise Pipeline
Turning GitHub stars into six-figure deals for open source AI
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Propensity Scoring That Works
How data governance made predictive models 30% more accurate
ReadMost companies gave their team AI and called it a strategy.
Output went up. Pipeline didn't move. Five teams interpreting the same brief five different ways — now doing it faster. The buyer encounters five different companies. Brand dilutes. Cycles lengthen.
The question isn't how to use AI in marketing. It's what your AI actually knows about you — and whether that's enough to act on.
Work
Selected Work
BRIA AI
Built GTM ops from zero for visual AI platform serving EA, Disney, P&G. Signal-driven growth systems drove 120% MAU lift.
Read case study →Lumen Technologies
26% improvement in data integrity, 30% lift in propensity scores. Data governance that made predictive models work.
Read case study →Wallarm
20% increase in growth-sourced pipeline, 18% conversion rate uplift. Full-funnel GTM optimization.
View details →Frequently Asked Questions
What is the Intelligence Layer?
The Intelligence Layer is a machine-readable operating context — brand spec, ICP hierarchy, competitive framing, content architecture, distribution schema, and measurement targets — encoded so every AI tool, agent, and team member works from the same shared foundation. It is not a document or a prompt template. It is a living system that updates as the market moves and compounds over time.
Does the Intelligence Layer replace marketing leadership?
No. Leadership sets direction — the Intelligence Layer encodes that direction into a system the entire team and every AI tool operates from. Strategy stops living in one person's head and becomes shared operating context that persists, compounds, and updates as the market moves. The CMO still steers. The layer makes sure every output reflects what they decided.
How does the Physics of Growth™ framework work?
Physics of Growth™ applies physics principles to B2B growth systems. Momentum — why some investments compound while others dissipate. Friction — the hidden forces destroying conversion rates and slowing pipeline. Gravity — the organic pull that attracts prospects versus requiring outbound to chase them. Every engagement starts by diagnosing which force is working against you, then building the systems to shift it.
Who is this for?
Series B through pre-IPO B2B SaaS companies — typically $10M to $150M ARR — where the CEO is asking whether to hire a marketing leader or build an AI-native system, or where the team has AI tools and nothing feels different. The Intelligence Layer diagnostic is also relevant for companies about to make a significant marketing hire and wondering whether the investment would be better spent on architecture.
What does an engagement cost?
The diagnostic runs $2,500–$25,000 depending on scope. The full Intelligence Layer build sprint is $25,000–$75,000 over 30–90 days. An ongoing advisor retainer is $5,000–$15,000 per month. For context: a single CMO hire costs $350K+ fully loaded per year. The build sprint costs less than one quarter of that salary and produces a system that compounds.
Before you hire, build, or buy
Know what you're actually missing. A 30-minute conversation — no pitch, no deck. What's happening in your growth system and how to think about it.
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