marketing-psychology

name: marketing-psychology description: Applies behavioural science and persuasion to marketing: why people buy, pricing, copy, offers, CTAs, with Australian examples. Use for marketing psychology, mental models, biases, or persuasion.

Marketing Psychology & Mental Models

A practical toolkit of behavioural-science principles and mental models for marketing — built to help you understand why people buy, influence decisions ethically, and make sharper marketing calls. Examples use Australian context and AUD.

How to use this skill

When the user brings a marketing challenge (a page that won't convert, a price that meets resistance, an offer that falls flat, a launch to plan), do this:

1. Get just enough context. Ask only what you need: what is the product/service, who is the audience, and what specific behaviour are they trying to influence? Don't over-interrogate — one or two questions, then work.
2. Pick the few models that fit. Don't list everything. Name the 2-4 most relevant principles for their situation.
3. Explain the "why" briefly, then give a concrete, Australian-context application they can act on this week.
4. Keep it ethical. These principles influence real people. Use genuine scarcity, honest social proof, and real guarantees — never manufactured pressure or dark patterns. If a request crosses into manipulation, say so and offer the honest version.

The catalogue below is your reference. Use the Quick Reference table near the end to jump from a problem to the relevant models.

Foundational thinking models

Sharpen strategy and solve the right problem first.

• First principles — Strip a problem to basic truths instead of copying competitors. Ask "why" repeatedly. Don't run content marketing because rivals do; work out what job it actually does for you.
• Jobs to be done — People "hire" a product for an outcome, not its features. A customer doesn't want a tax course; they want to stop dreading the ATO. Frame the outcome.
• Circle of competence — Stay where you have a real edge. Don't chase every channel; double down where you're genuinely strong.
• Inversion — Ask "what would guarantee failure?" then avoid it. List everything that would kill the campaign (confusing message, wrong audience, slow page) and prevent each.
• Occam's razor — The simplest explanation is usually right. Conversions dropped? Check the broken form and page speed before blaming attribution.
• Pareto (80/20) — ~80% of results come from ~20% of effort. Find the few channels/customers driving most results; cut the rest.
• Theory of constraints — One bottleneck limits the whole system; fix it first. Great conversion but low traffic? More CRO won't help — fix traffic.
• Opportunity cost — Every choice gives something up. Time on a low-ROI channel is time stolen from a high-ROI one.
• Second-order thinking — Consider the effects of the effects. A flash sale lifts revenue now but can train customers to wait for discounts.
• Map ≠ territory — Your dashboard and personas are models, not reality. Stay close to actual customers.
• Barbell strategy — Pair safe bets with a few small high-risk experiments; avoid the mediocre middle. ~80% proven channels, ~20% experiments.

Understanding buyers

How customers actually think and decide.

• Fundamental attribution error — When people don't convert, examine your process before blaming them; the cause is usually situational (a confusing checkout), not their character.
• Mere exposure effect — Familiarity breeds preference. Consistent presence across channels builds trust over time.
• Availability heuristic — People judge likelihood by what comes to mind easily. Case studies and testimonials make success feel achievable.
• Confirmation bias — People favour what fits existing beliefs. Align with what your audience already believes rather than fighting it head-on.
• Mimetic desire — People want what others want. Waitlists, exclusivity, and visible demand make a product more wanted.
• Sunk cost fallacy — Past spend shouldn't justify future spend. Kill campaigns that aren't working.
• Endowment effect — People value what they feel they own. Free trials and freemium let customers "own" it and resist giving it back.
• IKEA effect — Effort increases perceived value. Let customers customise or set something up themselves.
• Zero-price effect — "Free" is psychologically special, not just cheap. Free tiers, trials, and shipping pull disproportionately.
• Present bias (hyperbolic discounting) — Immediate rewards beat future ones. Lead with "today" benefits over "in six months".
• Status-quo bias — Staying put feels safe. Reduce switching friction: "import your data in one click".
• Default effect — People accept pre-selected options. Pre-select the plan you want chosen (ethically).
• Paradox of choice — Too many options paralyse. Three pricing tiers beat seven; recommend one "best for most".
• Goal-gradient effect — People speed up near a goal. Progress bars and "almost there" drive completion.
• Peak-end rule — Experiences are judged by their peak and ending. Design a delightful moment and a strong finish (thank-you page, follow-up).
• Zeigarnik effect — Unfinished tasks nag the mind. "You're 80% done" and abandoned-cart reminders pull people back.
• Pratfall effect — A small admitted flaw makes a competent brand more likeable. "We're not the cheapest, but…" can build trust.
• Curse of knowledge — You can't un-know your product; it's clearer to you than to newcomers. Test copy on people outside your space.
• Mental accounting — People treat money differently by frame. "$3 a day" lands differently from "$90 a month".
• Regret aversion — People avoid choices they might regret. Money-back guarantees and "no commitment" reduce the fear.
• Social proof / bandwagon — People follow the crowd. Show customer counts, reviews, logos, and "popular" indicators.

Influencing behaviour (persuasion)

Use these to influence decisions — ethically.

• Reciprocity — Give first and people want to give back. Genuinely useful free content, tools, and tiers create goodwill before you ask for anything.
• Commitment & consistency — A small first step makes the next one likely. Get the email or free trial, then build from there.
• Authority — People defer to credible experts. Feature real credentials, "as seen in", and genuine expertise.
• Liking / similarity — People say yes to those like them. Founder stories and "built by [your trade] for [your trade]" signal similarity.
• Unity — Shared identity persuades. Position the brand as part of the customer's tribe with insider language and shared values.
• Scarcity / urgency — Limited availability raises perceived value. Use real deadlines and genuine low stock — never fake countdowns.
• Foot-in-the-door — Small request first, then larger. Free trial → paid → annual.
• Door-in-the-face — A large ask first makes the real ask feel reasonable. Show the premium tier before the starter.
• Loss aversion — Losses hurt about twice as much as equivalent gains feel good. "Don't miss out" can beat "you could gain" — used honestly.
• Anchoring — The first number frames the rest. Show the higher (original or premium) price first.
• Decoy effect — A clearly worse third option makes your target option look obvious.
• Framing — Same facts, different feel. "90% success" beats "10% failure". Frame positively.
• Contrast — Things look better next to a clear "before". Make the before-state vivid so the after lands.

Pricing psychology

• Charm pricing (left-digit effect) — $49 feels much lower than $50; the left digit dominates. Good for value-focused offers.
• Rounded-price (fluency) effect — Round numbers feel premium and process easily. Use $500 for premium, $497 for value.
• Rule of 100 — Under $100, percentage discounts look bigger ("20% off"); over $100, dollar discounts look bigger ("$100 off"). An $80 item: "20% off" beats "$16 off". A $600 item: "$120 off" beats "20% off".
• Good-better-best — People judge price against the options shown. Three tiers with the middle as your target: the top anchors high, the bottom anchors low.
• Mental accounting (pricing) — Reframe the same price: "$1 a day" or "less than your daily flat white" softens "$30 a month".

Design & delivery models

• Hick's law — More choices = slower decisions = more drop-off. One clear CTA beats three; fewer form fields beat more.
• AIDA — Attention → Interest → Desire → Action. Structure pages and campaigns to move through each stage in order.
• Rule of 7 — People need ~7 touchpoints before acting. Build multi-touch sequences (retargeting, email, consistent presence).
• Nudge / choice architecture — Small presentation changes shift decisions: defaults, ordering, friction reduction — without removing choice.
• BJ Fogg (B = MAP) — Behaviour needs Motivation × Ability × Prompt, all present at once. Make it wanted, easy, and prompted at the right moment.
• EAST — Make the desired action Easy, Attractive, Social, Timely.
• Activation energy — High starting friction blocks action even when the task is easy overall. Pre-fill forms, offer templates, show a quick first win.
• North Star metric — One metric that best captures delivered value (active users, completed projects). Align all effort to it.
• The cobra effect — Incentives can backfire. Test reward structures; a referral bonus can attract gamers, not customers.

Growth & scaling models

• Feedback loops — Output becomes input. Build virtuous cycles (more users → more content → better SEO → more users) and strengthen them.
• Compounding — Small consistent gains accumulate; early effort matters most. Content, SEO, and brand build compound — start early.
• Network effects — The product gets more valuable as more people use it (shared workspaces, communities, integrations).
• Flywheel — Sustained effort builds self-maintaining momentum: content → traffic → leads → customers → case studies → more content.
• Switching costs — Time/effort/data to leave creates retention. Increase them ethically via integrations, accumulated data, and workflow fit.
• Exploration vs exploitation — Balance optimising what works with testing new bets. Don't abandon working channels for shiny ones.
• Critical mass / tipping point — Growth becomes self-sustaining past a threshold. Win one segment deeply before expanding.
• Survivorship bias — Study the failures you can't see, not just the viral wins. The hit you're copying had 99 invisible flops.

Quick reference: problem → models

Questions worth asking before applying anything

1. What specific behaviour are you trying to influence?
2. What does the customer already believe before they meet your marketing?
3. Where are they in the journey — awareness, consideration, or decision?
4. What's actually stopping the desired action right now?
5. Have you tested this with real customers, or is it a guess?

When NOT to use these

• To manufacture fake scarcity, fake social proof, or countdown timers that reset — that's a dark pattern, and it backfires when people notice. Offer the honest version instead.
• As a substitute for a product people actually want. Psychology sharpens a real value proposition; it can't rescue a bad offer.
• On vulnerable audiences or around health, money, or safety claims, where nudging shades into pressure. Stay on the right side of Australian Consumer Law and honest-marketing norms.

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Adapted from Corey Haines' open-source marketing skills (MIT licence), localised for Australia.