Marketing psychology
Skill balacodeio/balakit/.cursor/skills/marketing-psychology
Apply psychological principles and behavioral design to product copy, onboarding flows, landing pages, feature descriptions, CTAs, and pricing tiers. Covers cognitive biases (loss aversion, social proof, anchoring, paradox of choice, Zeigarnik effect, IKEA effect, reciprocity, commitment & consistency) and the Fogg Behavior Model (B = MAP). Use when the user asks about copy psychology, persuasion, behavioral design, conversion optimization, onboarding flow design, CTA wording, pricing psychology, or ethical influence.From its SKILL.md
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SKILL.md
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Marketing Psychology
Leading words: loss aversion, social proof, anchoring, paradox of choice, Zeigarnik effect, IKEA effect, reciprocity, commitment & consistency, Fogg behavior model, ethical influence.
Apply cognitive biases and behavioral models to product surfaces — ethically. The goal is to reduce cognitive load, surface genuine value, and help the user act on what they already want — not to manipulate.
Decision model — surface → principle
Pick the surface the user is working on, then apply the primary principle (secondary principles reinforce). Depth on each principle lives in references/principles.md.
| Surface | Primary principle | Secondary principle |
|---|---|---|
| CTA (call-to-action) | Commitment & consistency | Reciprocity |
| Pricing tier comparison | Anchoring | Loss aversion |
| Onboarding flow | IKEA effect | Paradox of choice (avoid) |
| Feature description | Loss aversion | Social proof |
| Reviews / testimonials / trust | Social proof | Reciprocity |
| Dashboard engagement | Zeigarnik effect | Loss aversion |
| Error / empty state | Reciprocity | Fogg: reduce ability cost |
Phase 1 — Audit
- [ ] Identify the surface type from the decision model table above.
- [ ] Map the primary + secondary principle for that surface.
- [ ] Check the current copy's cognitive load (how many concepts must the
user hold at once to act?).
- [ ] Check ethics: would the ethical-influence test pass? (see references/)
🛑 Checkpoint: State the surface type, primary/secondary principles, and cognitive-load assessment in one sentence. Do not proceed to Design until the audit is named.
Phase 2 — Design
- [ ] Choose 1-2 principles max for the surface (more = noise).
- [ ] Inject the leading word for the chosen principle into the copy.
- [ ] Apply the pattern for that principle (see references/principles.md).
- [ ] Verify the principle is real, not fabricated (real metrics, real
testimonials, real scarcity).
🛑 Checkpoint: Show the chosen principle(s) and the planned copy structure. Do not draft prose until the design is named.
Phase 3 — Write
- [ ] Draft the copy anchored by the leading word.
- [ ] Use concrete metrics over vague adjectives ("3 missed calls last week"
> "many missed calls").
- [ ] Run the read-aloud test — does it sound like a person, not a marketer?
- [ ] Run the ethical-influence test (see references/ethical_boundaries.md).
Phase 4 — Validate
- [ ] No dark patterns (fabricated stats, manufactured urgency, confirm-shaming,
roach motel, bait-and-switch, asymmetric consent).
- [ ] No addiction design (infinite scroll without exit, variable reward
exploitation).
- [ ] No product-truth overrides (claims must match what the feature actually
does).
- [ ] Cognitive load reduced, not increased.
- [ ] Plain language — no marketing jargon the user would not use themselves.
Any miss → back to Phase 2.
What NOT to do
Hard boundaries — see references/ethical_boundaries.md for the full list and the ethical-influence test. Summary:
- No fabricated stats. Real metrics only; if unknown, omit the figure.
- No manufactured urgency. Real scarcity only — countdowns that reset are deception.
- No confirm-shaming. Opt-out copy must be neutral.
- No addiction design. Surfaces must serve the user's goal, not exploit dopamine response.
- No overriding product truth. Copy must match what the feature actually does.
References
| File | Use it for |
|---|---|
| references/principles.md | Full reasoning behind each cognitive bias + the Fogg Behavior Model |
| references/ethical_boundaries.md | Dark patterns, addiction design, product-truth overrides, ethical-influence test |
| references/yappi_examples.md | Worked examples from the Yappi.ai context (the original skill's content) |
What ships with it: 3 files
7.3 KB alongside SKILL.md
references/
- ethical_boundaries.md1.9 KB
- principles.md3.5 KB
- yappi_examples.md1.9 KB
Gives 0 of the 12 instructions most product growth skills give in 939 tokens
Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07
- Read product marketing context before asking questionsin 24 of 728, across 18 files
- Define the ideal customer profilein 21 of 728, across 3 files
- Document a rollback plan before deploymentin 21 of 728, across 12 files
- Analyze the codebase to understand the productin 19 of 728, across 1 file
- Ask clarifying questions about the value propositionin 19 of 728, across 1 file
- Search for companies matching the criteriain 19 of 728, across 1 file
- Look for signals of immediate needin 19 of 728, across 1 file
- Assign a fit score from one to tenin 19 of 728, across 1 file
- Identify the target decision-maker rolein 19 of 728, across 1 file
- Suggest a personalized contact strategyin 19 of 728, across 1 file
- Provide conversation starters for outreachin 19 of 728, across 1 file
- Format results in a scannable markdown templatein 19 of 728, across 1 file
Said here and by no other author read
- Identify the surface type before writing copy
- Map the primary and secondary psychological principles
- Assess cognitive load before writing copy
- Choose at most two psychological principles per surface
- State the design choices before drafting prose
- Inject the leading word for the chosen principle
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.