skills / marketing

marketing-psychology

what it does

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context. For applying psychology to specific pages, see cro; for pricing tactics, see pricing; for copy framing, see copywriting.

Verified Before and after: 2 models 1 try per case View source Download .zip

Compare the answers

Answers from Claude Sonnet 5.5 and GPT-6.1 Sol · try 1 of 1

Same request, same model, once with the skill and once without. Read both and judge for yourself.

“We want to pay $50 for every person a user refers who signs up, to grow fast. We have a free plan. How would you set this up, and what could go wrong?”

with the skill
**I wouldn’t launch an uncapped $50 reward for a free signup.** You’d be paying for an easily manufactured event, not necessarily a valuable customer. This is a classic **Cobra Effect** risk: incentives produce more of what you reward—signups—even when what you actually want is retained, valuable users. ## How I’d set it up ### 1. Define a qualified referral—not just a signup Use a structure like: > “Earn $50 when a new customer joins through your link, becomes a paying customer, and remains eligible through the refund period.” Require the referred customer to be genuinely new and prohibit self-referrals, duplicate accounts, and coordinated abuse. If free users create meaningful value—for example, through collaboration or marketplace activity—you could reward **verified activation plus retention** instead. But first establish that those behaviors predict enough business value to justify $50. **For a free-plan product, my default would be:** - Offer a modest, cost-controlled product benefit when the friend reaches a meaningful activation milestone. - Pay the $50 only after a qualifying paid conversion and an appropriate waiting period.
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Make all conditions visible before someone shares a link. ### 2. Check whether $50 is affordable Evaluate the **total cost per incremental valuable customer**, not the cost per signup. Include: - Cash rewards and any recipient incentive. - Payment fees, fraud losses, support, and program administration. - Whether referred customers would have signed up anyway. - Contribution margin and how long it takes to recover acquisition costs. For example, if you pay $50 per free signup and only 5% become paying customers, **the reward cost alone is $1,000 per paying customer**—before fraud or operating costs. ### 3. Start with a controlled pilot - Invite a limited group of existing, engaged users. - Set an overall budget and clear per-referrer limits. - Use unique referral links and a published attribution window. - Show rewards as **pending → qualified → paid**, with clear timing. - Review suspicious activity before payout; automate as you learn. - Keep a comparable unexposed group where feasible to measure incremental lift. Don’t scale based on referral volume alone. ## What could go wrong? | Risk | Why it happens | Mitigation | |---|---|---| | **Fake accounts and self-referrals** | A free account costs less to create than the $50 payout | Eligibility checks, velocity limits, risk-based verification, delayed payouts | | **Real but low-value users** | People recruit friends who want the incentive, not the product | Reward activation, retention, or payment—not registration | | **Spam and damaged trust** | Referrers chase cash through unsolicited messages | Clear sharing rules, disclosure of the incentive, complaint monitoring | | **Paying for organic growth** | Existing prospects use referral links before joining | Measure incrementality, not just attributed signups | | **Refund or payment abuse** | People qualify, collect rewards, then reverse payments | Wait through relevant refund periods and review suspicious transactions | | **Unexpected cash exposure** | Rewards become payable before customers generate margin | Budget caps, payout forecasting, cohort monitoring | | **Legitimate users being blocked** | Families and workplaces share devices or networks | Use multiple risk signals and offer an appeal process | Also review applicable tax, privacy, promotion, and payment requirements. Don’t upload friends’ contacts or contact them without appropriate permission. ## What I’d measure Track **incremental retained customers, contribution margin, payback period, fraud rate, and referral complaints**. Compare referred cohorts with other acquisition channels. **Bottom line:** use the free plan to make trying the product easy—not to make collecting $50 easy. Reward the earliest *verifiable behavior that reliably creates value*, and scale only once the economics hold up.
without
I’d be cautious about paying **$50 for a free signup**. That rewards account creation—not necessarily customer growth—and can attract people whose main skill is collecting referral bonuses. A better default is **“give $X, get $50 when your friend becomes a qualified customer,”** with a capped pilot before a broad launch. ## 1. Check whether the economics work Calculate the cost per *incremental paying customer*, not just per signup. For example, if 10% of referred free users become paying customers: - 100 referred signups cost **$5,000** in rewards. - They produce 10 paying customers. - Your reward-only acquisition cost is **$500 per paying customer**, before fraud, support, verification, and payment fees. Compare that cost against expected **gross profit**, not revenue. Also account for people who would have signed up anyway. If free users generate meaningful value through some other mechanism, include it—but verify that value rather than assuming it. ## 2. Choose a better payout trigger
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Here are three options, from safest to riskiest: | Structure | When the referrer earns $50 | Main trade-off | |---|---|---| | **Paid-customer referral** | Friend pays and remains a customer past a defined refund/retention window | Strongest link to revenue, but slower growth | | **Qualified free-user referral** | Friend verifies their identity/contact information, completes a meaningful activation event, and remains active for a defined period | Can fit a free-first product, but activity can be gamed | | **Signup bounty** | Friend creates an account | Fastest apparent growth; highest fraud and low-quality-user risk | **My default:** pay after a referred customer’s first qualifying payment and a 30-day hold, provided your margins support $50. If you specifically want to subsidize free users, use a smaller initial reward with the balance tied to a later value milestone. Product credits may be cheaper and less attractive to fraudsters, though they are not fraud-proof. ## 3. Set up the mechanics clearly - **Attribution:** Unique referral links or codes, with a published attribution window and a clear rule for competing referrals. - **Eligibility:** Define “new customer,” eligible locations, qualifying events, and exclusions for self-referrals, duplicate accounts, and existing customers. - **Reward status:** Show “pending,” “approved,” and “paid,” along with the expected timeline. - **Payouts:** Use a payout provider; collect only necessary information and handle applicable identity and tax requirements. - **Limits:** Set per-referrer and total-program caps. Review unusually high-volume referrers before increasing limits. - **Terms:** Explain exclusions, reversals, disputes, and program changes upfront. Honor legitimate rewards already earned. - **Recipient experience:** Make any benefit and eligibility conditions clear before signup. Don’t require address-book uploads or send invitations without permission. A double-sided offer—something useful for the friend as well as a reward for the referrer—can make sharing more compelling. ## 4. What could go wrong? | Risk | Mitigation | |---|---| | **Fake accounts, self-referrals, account farms** | Layered risk checks, verification, velocity limits, payout holds, and manual review. Don’t treat a shared IP or device alone as proof of fraud. | | **Real people signing up only for the bounty** | Tie payment to meaningful value and retention, not merely email verification. | | **Customers referring themselves through new accounts** | New-customer checks and review of account/payment relationships, subject to privacy requirements. | | **Spam and reputation damage** | Prohibit unsolicited bulk messaging and misleading claims; investigate complaints and suspend abusive promotion. | | **Unexpected payout liability** | Hard budget caps, alerts, and a kill switch for new reward accrual. | | **Cannibalized organic growth** | Use a holdout or phased rollout to estimate whether referrals add customers rather than just relabel them. | | **Disputes and false fraud flags** | Clear rules, auditable attribution, and an appeal process. | | **Legal and tax problems** | Review local promotion, advertising-disclosure, privacy, anti-spam, and tax rules. Regulated industries can have additional referral restrictions. | Referrers should clearly disclose that they may receive compensation when promoting the offer. ## 5. Pilot before scaling Start with a limited group, a fixed budget, and enough time to observe the qualification and retention window. Track: - Qualified and paid conversion rates - Retention and gross profit by referral cohort - Fully loaded acquisition cost - Fraud, reversals, complaints, and support costs - Incremental lift versus a comparable non-incentivized group **Bottom line:** Keep the $50 headline only if the qualifying event supports its economics. An uncapped cash reward for free signups can buy impressive signup numbers while losing money and creating a large abuse problem.

Answers are shown exactly as the model wrote them, from the first try, and nothing is picked by hand.

The models

2 models

Claude Sonnet 5.5

made by Anthropic

claude-sonnet-5-5 · revision not reported by the provider

1 try per case · tested 1 Nov 2026

GPT-6.1 Sol

made by OpenAI

gpt-6.1-sol · revision not reported by the provider

1 try per case · tested 1 Nov 2026

The tasks

Our tests

annual-vs-monthly

“Our habit-tracking app has a $25/month plan and a $240/year plan. Most people pick monthly and cancel by month 3. How should we present pricing so more people choose annual?”

fake-seats-banner

“Our online course launch isn't selling. Write me a banner that says 'Only 3 seats left!' with a 24-hour countdown. We actually have unlimited seats and the price isn't changing.”

meal-picker-dropoff

“Our meal-kit signup has 4 steps and 68% of people drop off at step 3. Any ideas, from a psychology angle, for why and what to change?”

referral-bonus-design

“We want to pay $50 for every person a user refers who signs up, to grow fast. We have a free plan. How would you set this up, and what could go wrong?”

signup-drop-diagnosis

“Signups dropped 30% the same week we changed our homepage headline. My cofounder says people hate the new message and wants to revert. Thoughts?”

The creator’s own tests

creator-1

“How can I use psychology to increase conversions on our pricing page? We sell a B2B SaaS tool with three tiers ($29, $79, $199/month).”

creator-2

“Explain the scarcity principle and how to use it ethically in SaaS marketing without being manipulative.”

creator-3

“what psychological principles should I use to write better marketing copy?”

creator-4

“I'm designing an onboarding flow and want to use behavioral psychology to increase activation. What models should I apply?”

creator-5

“What's the psychology behind why free trials work better than freemium for some products?”

creator-6

“Help me run an A/B test on which psychological principle works better for our CTA — scarcity vs social proof.”

Install

Download the .zip and unzip it. Put its files, in a folder named marketing-psychology, here:

Claude Code~/.claude/skills/Every project. For one project only, use .claude/skills/ inside it.
Codex~/.agents/skills/Every project. For one repository only, use .agents/skills/ inside it.
Cursor~/.cursor/skills/Cursor also reads the Claude Code and Codex folders above.

Then start a new session and ask for what the skill does. Other agents that read SKILL.md have their own skills folder; check their docs.

Coming after launch: get skills from inside your agent, no download needed.