| name | influence-psychology |
| description | Apply the six principles of ethical persuasion (reciprocity, commitment, social proof, authority, liking, scarcity) to product design, copy, and sales. Use when the user mentions "social proof", "persuasive copy", "why users dont convert", "ethical persuasion", "reciprocity", "scarcity tactics", or "commitment and consistency". Also trigger when designing testimonial sections, crafting urgency messaging, or improving trust signals on landing pages. For deal negotiation tactics, see negotiation. For viral word-of-mouth, see contagious. |
| license | MIT |
| metadata | {"author":"wondelai","version":"1.2.0"} |
Influence Psychology Framework
Framework for applying the science of persuasion ethically and effectively — six decades of research into why people say "yes."
Core Principle
People don't make decisions rationally — they use mental shortcuts (heuristics) that can be triggered to influence behavior. These shortcuts evolved because they're usually reliable, but they can also be exploited. Understanding them lets you design products, messaging, and experiences that align with how people actually decide.
Scoring
Goal: 10/10. When reviewing or creating persuasive elements (features, copy, flows, campaigns), rate them 0-10 based on adherence to the principles below. A 10/10 means ethical, effective application of influence psychology; lower scores indicate missed opportunities or ethical concerns. Always provide the current score and specific improvements needed to reach 10/10.
The Seven Principles of Influence
1. Reciprocity
Core concept: People feel obligated to give back to those who have given to them first.
Why it works: Humans are wired to avoid being indebted — the obligation to repay can overpower personal preference, and the return favor often exceeds the original gift.
Key insights:
- The gift must come first (before the request)
- Unexpected, personalized gifts beat expected, generic ones
- Even small gifts create obligation
Product applications:
| Context | Reciprocity Trigger | Example |
|---|
| Free trials | Full access first, then ask to pay | Spotify Premium trial → subscription |
| Content marketing | Value upfront (guides, tools) | HubSpot free CRM → paid tools |
| Referral programs | Reward both referrer and referee | Dropbox: both get extra storage |
Copy patterns:
- "Here's a gift for you..." (before asking)
- "As a thank you for signing up..."
- "We noticed you needed help with X, so we..."
Ethical boundary: Give genuine value — don't create artificial debts or exploit obligation.
See: references/reciprocity.md for reciprocity techniques and case studies.
2. Commitment & Consistency
Core concept: People want to be consistent with their past statements, beliefs, and actions.
Why it works: Inconsistency is psychologically uncomfortable; once we take a stand, personal and interpersonal pressure pushes us to behave consistently with it.
Key insights:
- Small initial commitments lead to larger ones (foot-in-the-door)
- Public > private; written > verbal; active (user-generated) > passive
- Self-perception: we infer our attitudes from our behavior
Product applications:
| Context | Commitment Trigger | Example |
|---|
| Onboarding | Easy yes, then larger asks | Duolingo: "Can you commit to 5 min/day?" |
| Goal setting | User publicly states a goal | Strava: "I want to run 50km this month" |
| Habit formation | Track streaks publicly | Snapchat streaks, GitHub contributions |
Copy patterns:
- "What's your biggest challenge with X?" (commitment to a problem)
- "How much would you like to save per month?" (numerical commitment)
- "You said you wanted to achieve X. Let's start with..."
Onboarding sequence: micro-commitment ("What brings you here?") → small action (click, choice) → public/written commitment (goal) → reinforce ("Based on what you told us...").
Ethical boundary: Don't lock users into commitments they didn't freely make — allow easy reversibility.
See: references/commitment-consistency.md for commitment tactics and flows.
3. Social Proof
Core concept: People determine what's correct by finding out what others think is correct.
Why it works: When uncertain, we use others' behavior as a guide — "if everyone's doing it, it must be right."
Key insights:
- Most powerful when observers are uncertain; similar others = stronger proof
- Negative social proof backfires ("9 out of 10 don't...")
- Specific numbers beat vague claims ("2,347 users" > "thousands")
Types of social proof:
| Type | Definition | Example |
|---|
| Wisdom of crowds | Many people use/buy | "Join 50,000+ marketers" |
| Wisdom of friends | People you know use it | "3 of your friends use Notion" |
| Expert | Authorities endorse | "Recommended by Y Combinator" |
| Celebrity | Famous people use it | "Used by Elon Musk" |
| Certification | Third-party validation | "SOC 2 compliant", "App of the Year" |
| User | Similar people succeeded | "Startups like yours grew 10x" |
Product applications:
| Context | Social Proof Implementation | Example |
|---|
| Landing pages | User count, reviews, logos | "Trusted by 10,000+ companies" |
| Signup flow | Live signups, popular plans | "23 people signed up in the last hour" |
| Feature adoption | Show usage by others | "85% of teams use this feature" |
Copy patterns:
- "[X number] of [similar people] are already..."
- "[Name/Company] increased [metric] by [%]"
- "Don't take our word for it. Here's what [users] say..."
Ethical boundary: Never fabricate social proof — real numbers, real testimonials, and disclose when proof is curated.
See: references/social-proof.md for social proof types and implementation patterns.
4. Authority
Core concept: People follow the lead of credible, knowledgeable experts.
Why it works: Obedience to authority is deeply ingrained — following experts is an efficient shortcut when we lack expertise ourselves.
Key insights:
- Titles, credentials, even symbols (lab coats, official-looking design) trigger automatic compliance
- Admitting a weakness paradoxically increases authority (trustworthiness) — lead with it before strengths
- Expertise doesn't transfer across domains, but people assume it does
Sources of authority:
| Type | Signal | Example |
|---|
| Credentials | Degrees, certifications | "Built by Stanford PhDs" |
| Experience | Years in field, track record | "20 years in cybersecurity" |
| Association | Trusted partners, investors | "Backed by Y Combinator" |
| Content | Thought leadership, research | "Based on research with 10,000 users" |
| Transparency | Honest about limitations | "Works best for teams of 10-50" |
Product applications:
| Context | Authority Trigger | Example |
|---|
| About page | Founder and team expertise | "Built by ex-Google engineers" |
| Content | Original research, citations | "State of [Industry] 2026 Report" |
| Partnerships | Security certs, integration badges | "SOC 2 Type II", "GDPR compliant" |
Copy patterns:
- "Trusted by [authority figure/company]"
- "Research shows that [cite source]..."
- "Our team includes [credentials]"
Ethical boundary: Never fake credentials or fabricate expertise — cite real sources, and be transparent about what you're not good at.
See: references/authority.md for authority-building strategies.
5. Liking
Core concept: People prefer to say yes to those they like.
Why it works: Liking creates psychological safety and reduces resistance — we're more persuaded by people we trust and feel connected to.
Factors that increase liking:
| Factor | Mechanism | Example |
|---|
| Attractiveness | Halo effect: attractive = good | Professional headshots, polished design |
| Similarity | We like people like us | "I'm a founder just like you" |
| Compliments | Flattery works (even when obvious) | "You have great taste in tools" |
| Cooperation | Working toward shared goals | "Let's build this together" |
| Familiarity | Repeated exposure increases liking | Consistent brand, retargeting |
| Association | Linked to positive things | Placement with aspirational lifestyles |
Product applications:
| Context | Liking Trigger | Example |
|---|
| Brand voice | Friendly, conversational, human | Mailchimp's playful copy |
| Team pages | Real people, personality | Personal bios, hobbies, photos |
| Support | Warm, empathetic responses | "I totally understand that frustration..." |
Copy patterns:
- "We're [similar trait] just like you"
- "We built this because we were frustrated with..."
- Casual, warm language ("Hey", "Awesome!", "We got you")
Ethical boundary: Be genuinely helpful and authentic — don't manufacture false rapport or manipulate emotions.
See: references/liking.md for liking techniques and tone guidelines.
6. Scarcity
Core concept: People want more of what they can't have or what's running out.
Why it works: Loss aversion is stronger than gain seeking — FOMO triggers urgency, and psychological reactance makes us want what threatens to become unavailable.
Key insights:
- Scarcity of time > scarcity of quantity; newly scarce > always scarce (loss framing)
- Competition increases value — if others want it, I want it
- Exclusive access is more valuable than open access
Types of scarcity:
| Type | Mechanism | Example |
|---|
| Limited quantity | Finite supply | "Only 5 seats left" |
| Limited time | Deadline pressure | "Offer ends Friday" |
| Exclusive access | Not everyone can have it | "Invite-only beta" |
| Competition | Others competing for it | "12 people viewing this" |
Product applications:
| Context | Scarcity Trigger | Example |
|---|
| Pricing | Limited-time discount | "Early bird pricing ends in 3 days" |
| Features | Beta access, waitlist | "Join 5,000 on the waitlist" |
| Inventory | Stock levels | "2 left in stock" |
Copy patterns:
- "Limited to the first [X] customers"
- "Offer expires [specific date]"
- "[X] people are viewing this right now"
Ethical boundaries: Never fake scarcity, and let users decide rationally. Ethical: real inventory counts, genuine deadlines, legitimate capacity limits. Unethical: artificial limits, resetting countdown timers, "Only 2 left!" repeated daily, pressuring vulnerable users.
See: references/scarcity.md for scarcity tactics and ethical implementation.
7. Unity
Core concept: People say yes to those they consider part of "us" (shared identity).
Why it works: Tribal identity is fundamental — we make sacrifices for in-group members we wouldn't make for strangers.
Unity vs. Liking: Liking = "this person is like me" (similarity); Unity = "this person is me" (shared identity).
Sources of unity:
| Type | Mechanism | Example |
|---|
| Place | Hometown, region, nationality | "Built in San Francisco, for founders" |
| Experience | Shared hardship or triumph | "We've all struggled with bad CRMs" |
| Values | Deep beliefs, mission alignment | "For people who value privacy" |
| Tribe | Co-creation, movement | "Join the indie maker community" |
Product applications:
| Context | Unity Trigger | Example |
|---|
| Brand positioning | Define the tribe | "For remote-first teams" |
| Messaging | "We" language, shared struggle | "We believe work should be flexible" |
| Community | Facilitate co-creation | User-generated content, forums |
Copy patterns:
- "For [identity group]" ("For designers", "For bootstrappers")
- "Join [X] others who believe..."
- "We're building this together"
Ethical boundary: Don't create toxic in-groups or vilify out-groups — unity should unite, not divide maliciously.
See: references/unity.md for unity-building strategies.
Combining Principles
The most powerful persuasion layers multiple principles:
SaaS landing page: authority ("Built by ex-Stripe engineers") + social proof ("Trusted by 5,000+ companies") + liking (warm copy) + scarcity ("Join the beta—limited spots") + reciprocity ("Start free, no credit card") + unity ("For founders who move fast").
Referral program: reciprocity (reward both parties) + social proof ("X friends already joined") + unity ("Invite your team") + commitment (ask after a good experience).
Ethical Application Checklist
Before deploying influence tactics:
The line: persuasion helps people see value they'd appreciate anyway; manipulation tricks people into choices against their interests.
See: references/ethics.md for comprehensive ethical boundaries.
Common Mistakes
| Mistake | Why It Fails | Fix |
|---|
| Fake social proof | Destroys trust when discovered | Use real data or don't use it |
| Overuse of scarcity | Becomes noise, loses power | Reserve for genuine urgency |
| Inconsistent authority | Undermines credibility | Don't claim expertise you lack |
| Forced reciprocity | Feels transactional, not genuine | Give without immediate ask |
| Generic unity | "Everyone" is not a tribe | Define specific shared identity |
Quick Diagnostic
Audit any persuasive element:
| Question | If No | Action |
|---|
| Which principle(s) am I using? | You're relying on luck | Explicitly design for influence |
| Is this claim/tactic truthful? | You're manipulating | Remove or replace with truth |
| Would this work on me? | It probably won't work on others | Redesign with genuine value |
| Am I combining principles? | Missing leverage | Layer multiple principles |
| Can users easily reverse? | Ethical concern | Add clear opt-outs |
Reference Files
- reciprocity.md: Reciprocity techniques, gift strategies, examples
- commitment-consistency.md: Commitment flows, foot-in-the-door, public commitment tactics
- social-proof.md: Social proof types, implementation patterns, case studies
- authority.md: Building authority, credentials, thought leadership
- liking.md: Liking factors, brand voice, rapport-building
- scarcity.md: Scarcity tactics, ethical vs. manipulative scarcity
- unity.md: Tribe-building, identity marketing, community
- ethics.md: Ethical boundaries, manipulation vs. persuasion
- case-studies.md: Real-world applications across industries
- copywriting.md: Influence-based copy frameworks
Further Reading
Based on Robert Cialdini's research and books:
About the Author
Robert B. Cialdini, PhD is Regents' Professor Emeritus of Psychology and Marketing at Arizona State University. Influence, the foundational text on persuasion science, has sold over 5 million copies worldwide, and he has consulted for Fortune 500 companies, government agencies, and nonprofits on ethical influence.
