Mental Models
The reasoning tools that separate the marketer who executes tactics from the one who chooses the right tactic. First-principles thinking, systems thinking, second-order effects, probabilistic decisions, and the meta-skills that compound across every channel and every era.
Start here. No prior knowledge needed.
First-Principles Thinking
How to break a marketing problem down to its base truths and rebuild the answer from scratch, instead of copying what the industry already does.
5 minOpportunity Cost Thinking
Every yes is a hidden no. How to see the campaigns you did not run, the hires you did not make, and the market you left on the table by focusing here.
5 minWriting to Think
Why the marketers who write clearly also strategize clearly, and how the physical act of writing exposes the holes in your reasoning before the market does.
6 minCircle of Competence
Know the boundary of what you genuinely understand, and stay inside it, or expand it deliberately, instead of making confident calls on false expertise.
5 minThe Regret Minimization Framework
Jeff Bezos' age-80 thought experiment for making bold, irreversible calls, and why it backfires when applied to small, reversible ones.
5 minHanlon's Razor: Assume Incompetence Before Malice
Why the angry customer, the aggressive competitor, and the difficult cross-team email are usually confused, not out to get you.
6 minThe Availability Heuristic in Marketing
The most recent or vivid data point, a viral competitor post, a single angry customer, distorts marketing prioritization far more than it should.
6 minOccam's Razor: The Simplest Explanation Wins
Why the boring explanation for a campaign's performance is usually the correct one, and how marketers waste weeks building elaborate theories instead of checking the obvious cause first.
5 minBuild on the fundamentals.
Pattern Recognition: The Marketer's Meta-Skill
How to spot repeating structures in data, campaigns, and consumer behavior before your competitors do, and how to avoid seeing patterns that are not there.
5 minBase Rates and Reference-Class Forecasting
Before predicting how your campaign will do, look up how often campaigns like it actually work. The single most reliable fix for marketing overconfidence.
6 minSecond-Order Thinking
The habit of asking 'and then what?' after every marketing decision, so today's win does not become next year's structural problem.
5 minInversion: Solving Problems Backwards
Instead of asking 'how do we win?', ask 'how would we fail?' and then avoid every answer. Charlie Munger's favorite thinking tool, applied to marketing.
6 minGoodhart's Law: When Metrics Become Targets
Every metric you turn into a goal stops being a good measurement. How to spot Goodhart failures in marketing dashboards and design better ones.
6 minDeliberate Practice for Marketers
Why ten years of marketing experience often produces one year of learning repeated ten times, and how to actually get better at your craft on purpose.
6 minAntifragility: Designing Campaigns That Gain From Disorder
Fragile things break under stress, resilient things withstand it, antifragile things get stronger from it. How to build a marketing strategy that benefits from volatility.
5 minChesterton's Fence: Don't Remove What You Don't Understand
Why 'this looks pointless, let's cut it' is the most expensive sentence in marketing, and a framework for understanding a rule before you remove it.
6 minVia Negativa: Improve By Subtraction, Not Addition
Why cutting a bad channel is usually safer than adding a new one, and how Nassim Taleb's 'via negativa' principle turns marketing improvement into a subtraction problem.
6 minThe Map Is Not the Territory
Every dashboard, persona, and dataset is a simplified stand-in for reality, not reality itself. The lesson is what happens when marketers forget the difference.
6 minCompounding: Why Boring, Consistent Marketing Wins
Why small, consistent marketing efforts like SEO, brand, and an email list beat sporadic big swings over a long enough time horizon, with the actual math behind why.
6 minIncentive Design in Marketing
Charlie Munger's 'show me the incentive, I'll show you the outcome' explains why sales comp plans, agency fees, and affiliate payouts quietly produce behavior nobody wanted.
5 minLoss Aversion: Why Losing Beats Winning in Copy
Why 'don't lose your spot' outperforms 'get a bonus' in marketing copy, the prospect theory research behind it, and the ethical line between using this bias and exploiting it.
6 minMargin of Safety in Marketing
Borrow Benjamin Graham's investing discipline to build slack into budgets, timelines, and forecasts so one wrong assumption does not sink the plan.
6 minThe Red Queen Effect in Marketing
In evolutionary biology, species must keep adapting just to stay in place, and paid ads and SEO run on the exact same treadmill.
5 minSurvivorship Bias: The Silent Failures Behind Every Case Study
Why viral case studies and 'best practices' mislead marketers, because you only ever hear from the campaigns that worked, never the thousand that used the same tactic and quietly died.
6 minMarketing Economics: Elasticity, Substitutes, and Game Theory
Why some products can raise prices freely and others can't, how competitor substitutes cap your pricing power, and why price wars are a prisoner's dilemma that destroys value for everyone.
6 minTactics for experienced marketers.
Systems Thinking for Marketers
Why channels are not silos: feedback loops, time delays, and second-order effects, the mental model behind every compounding marketing engine.
5 minThe Pareto Principle and Theory of Constraints
80% of your results come from 20% of your effort, and the whole system moves at the pace of one bottleneck. Two rules that decide where your next dollar and hour should go.
6 minBayesian Updating for Marketers
How to change your mind proportionally when new evidence lands, without ignoring your priors or overreacting to the latest data point.
6 minDecision-Making Under Uncertainty
Thinking in bets, expected value, and reversible-vs-irreversible calls: how to make good marketing decisions when the data cannot tell you the answer.
5 min