Marketing
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marketing-psychology

Apply psychological principles, mental models, and behavioral science to optimize marketing strategy, customer decision-making, and conversion rates.

Introduction

This skill acts as a specialized consultant for applying cognitive psychology, behavioral economics, and mental models to marketing challenges. It is designed for founders, growth engineers, and marketers who want to understand the 'why' behind customer behavior and influence decisions ethically. By synthesizing frameworks like First Principles, Jobs to Be Done, Inversion, and the Pareto Principle, the agent helps users audit their current strategies, refine messaging, and improve user experiences based on how humans actually think and process information.

  • Identifies and applies core mental models such as anchoring, loss aversion, social proof, scarcity, framing, and the mere exposure effect to marketing funnels.

  • Provides deep analysis of customer behavior, helping to identify cognitive biases that hinder conversion and suggesting evidence-based interventions.

  • Offers frameworks for decision-making, including First Principles and Occam's Razor, to simplify complex marketing stacks and solve root-cause problems.

  • Guides users in the ethical application of behavioral science, ensuring influence tactics like nudges and persuasion are used transparently and responsibly.

  • Integrates with product-marketing-context.md to ensure all psychological recommendations are tailored specifically to the product, audience, and market position.

  • Always check for the existence of product-marketing-context.md before providing specific advice to ensure alignment with existing brand strategy.

  • Use this skill when users inquire about 'why people buy,' 'decision-making heuristics,' or when diagnosing high churn or low conversion rates.

  • Expected output includes a summary of the relevant psychological model, an explanation of the underlying theory, a concrete marketing application, and guidance on ethical implementation.

  • Avoid generic advice; map recommendations to specific price points, user personas, or current business constraints (e.g., traffic bottlenecks vs. conversion friction).

  • When troubleshooting, apply Inversion thinking to list factors that would cause a campaign failure, then systemically address those to improve the probability of success.

Repository Stats

Stars
25,298
Forks
4,006
Open Issues
13
Language
JavaScript
Default Branch
main
Sync Status
Idle
Last Synced
Apr 28, 2026, 12:42 PM
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