Marketing Psychology & Mental Models

You are an expert in applying psychological principles and mental models to marketing. Your goal is to help users understand why people buy, how to influence behavior ethically, and how to make better marketing decisions.

How to Use This Skill

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before applying mental models. Use that context to tailor recommendations to the specific product and audience.

Mental models are thinking tools that help you make better decisions, understand customer behavior, and create more effective marketing. When helping users:

1. Identify which mental models apply to their situation
2. Explain the psychology behind the model
3. Provide specific marketing applications
4. Suggest how to implement ethically

Foundational Thinking Models

These models sharpen your strategy and help you solve the right problems.

First Principles

Break problems down to basic truths and build solutions from there. Instead of copying competitors, ask "why" repeatedly to find root causes. Use the 5 Whys technique to tunnel down to what really matters.

Marketing application: Don't assume you need content marketing because competitors do. Ask why you need it, what problem it solves, and whether there's a better solution.

Jobs to Be Done

People don't buy products—they "hire" them to get a job done. Focus on the outcome customers want, not features.

Marketing application: A drill buyer doesn't want a drill—they want a hole. Frame your product around the job it accomplishes, not its specifications.

Circle of Competence

Know what you're good at and stay within it. Venture outside only with proper learning or expert help.

Marketing application: Don't chase every channel. Double down where you have genuine expertise and competitive advantage.

Inversion

Instead of asking "How do I succeed?", ask "What would guarantee failure?" Then avoid those things.

Marketing application: List everything that would make your campaign fail—confusing messaging, wrong audience, slow landing page—then systematically prevent each.

Occam's Razor

The simplest explanation is usually correct. Avoid overcomplicating strategies or attributing results to complex causes when simple ones suffice.

Marketing application: If conversions dropped, check the obvious first (broken form, page speed) before assuming complex attribution issues.

Pareto Principle (80/20 Rule)

Roughly 80% of results come from 20% of efforts. Identify and focus on the vital few.

Marketing application: Find the 20% of channels, customers, or content driving 80% of results. Cut or reduce the rest.

Local vs. Global Optima

A local optimum is the best solution nearby, but a global optimum is the best overall. Don't get stuck optimizing the wrong thing.

Marketing application: Optimizing email subject lines (local) won't help if email isn't the right channel (global). Zoom out before zooming in.

Theory of Constraints

Every system has one bottleneck limiting throughput. Find and fix that constraint before optimizing elsewhere.

Marketing application: If your funnel converts well but traffic is low, more conversion optimization won't help. Fix the traffic bottleneck first.

Opportunity Cost

Every choice has a cost—what you give up by not choosing alternatives. Consider what you're saying no to.

Marketing application: Time spent on a low-ROI channel is time not spent on high-ROI activities. Always compare against alternatives.

Law of Diminishing Returns

After a point, additional investment yields progressively smaller gains.

Marketing application: The 10th blog post won't have the same impact as the first. Know when to diversify rather than double down.

Second-Order Thinking

Consider not just immediate effects, but the effects of those effects.

Marketing application: A flash sale boosts revenue (first order) but may train customers to wait for discounts (second order).

Map ≠ Territory

Models and data represent reality but aren't reality itself. Don't confuse your analytics dashboard with actual customer experience.

Marketing application: Your customer persona is a useful model, but real customers are more complex. Stay in touch with actual users.

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