Give Me Five Radical Marketing Ideas
Generates five materially different marketing ideas grounded in the real business rather than generic content advice.
Use this when existing marketing feels repetitive or you want deliberately different ways to create attention and demand.
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The prompt, explained
The boring details, for anyone interested in the engineering behind the prompt. If you just want to get on with it, here you go.
Push beyond obvious marketing tactics while still keeping ideas plausible, explainable and testable.
This is how we make code look impressive
- 1
Language and tone
SharedKeeps the answer clear, positive and understandable. It prevents the AI from hiding simple ideas behind jargon or presenting useful criticism as a fault-finding exercise.
language-and-tone.partial1Write in clear, unambiguous, plain English.
2Assume the reader runs a business and may have no specialist knowledge of marketing, websites, search engines, analytics or social media.
3Do not use jargon when an ordinary word or short phrase will do.
4If a technical or specialist term is genuinely necessary, use the term, explain it immediately in plain English, explain why it matters here, and provide a reliable reference confirming the meaning.
5Keep the framing positive, balanced and constructive.
6Where something is working, say so before describing the issue or risk that remains.
7Do not soften a serious issue so much that it becomes unclear.
8The aim is to eliminate ambiguity and create clarity.
- 2
Source hierarchy
SharedEncourages the AI to use the most reliable explanation available instead of casually relying on marketing blogs or unsupported opinion.
source-hierarchy.partial1Prefer references in this order:
21. Official provider or platform documentation where the subject relates to a specific service or product.
32. A recognised neutral reference such as Wikipedia for general concepts.
43. Another authoritative source only when the first two are not suitable.
- 3
Understand the business first
Stops the AI generating clever but irrelevant ideas before it understands what is actually being marketed.
grounding.partial1Summarise [BUSINESS NAME], what it offers, its likely customer and the objective of [OBJECTIVE], using the information provided and reliable public context where appropriate.
2State any important uncertainty before generating ideas.
- 4
What would the obvious ideas be?
Names the predictable answers so the prompt can deliberately move beyond them.
ordinary-baseline.partial1Briefly identify the most obvious conventional marketing approaches for a [TYPE OF BUSINESS] in this situation.
2Do not count those conventional approaches among the five radical ideas unless transformed into something materially different.
- 5
What does 'radical' mean here?
Defines radical as meaningfully different and attention-worthy, not reckless or expensive.
radical-definition.partial1Treat radical as surprising, distinctive or structurally different from normal local marketing.
2Do not confuse radical with offensive, deceptive, unsafe, legally risky or needlessly expensive.
3Stay within [BUDGET] and respect these constraints: [CONSTRAINTS].
- 6
Five genuinely different ideas
Forces range: five concepts, not five cosmetic versions of the same tactic.
five-ideas.partial1Generate five materially different marketing ideas for [WHAT WE ARE MARKETING].
2Vary the mechanism: for example experience, partnership, productisation, physical-world action, local participation, content format, customer involvement or unusual distribution.
3Do not force those categories if a better variety exists.
- 7
Explain each idea simply
Makes each concept understandable enough for the owner to judge without marketing jargon.
idea-explanation.partial1For each idea explain what it is, what the customer would experience, and what makes it different.
- 8
Why might it work?
Makes the reasoning visible instead of presenting creativity as magic.
why-work.partial1For each idea explain the behavioural, local, practical or commercial reasoning that could make it useful.
2Clearly distinguish reasoning from evidence.
- 9
What is the smallest useful test?
Turns a big creative idea into something that can be tried cheaply before committing significant money or time.
smallest-test.partial1For each idea propose the smallest credible experiment that would test whether people respond.
2Prefer reversible, low-commitment tests.
- 10
How would we know if it worked?
Introduces simple measurement without turning the idea into an analytics project.
measure.partial1Give one or two simple observable measures for each test.
2Prefer measures linked to [OBJECTIVE] over vanity metrics.
- 11
What could go wrong?
Adds constructive scepticism so unusual ideas are tested, not merely admired.
risks.partial1For each idea identify the most important practical, reputational, cost or execution risk.
2Explain how the test could reduce that risk.
- 12
Recommendation discipline
SharedPrevents the AI from defaulting to rebuilds, subscriptions or fashionable tools when a smaller change would solve the problem.
recommendation-discipline.partial1Prefer simple, realistic improvements over large projects.
2Fix or improve what already exists before recommending replacement.
3Do not recommend a paid product, subscription, redesign, rebuild or new platform simply because one exists.
4Keep recommendations proportionate to the business and the evidence found.
5Do not create an exhaustive improvement list when a smaller set of meaningful actions will do.
- 13
Can any ideas work together?
Looks for a coherent campaign only after the individual ideas have been assessed.
combine-or-extend.partial1If two or more ideas naturally reinforce each other, show how they could form a simple campaign.
2Do not force a combination.
- 14
Action prioritisation
SharedTurns a long analysis into a small number of useful next steps. You should finish knowing what to do first, not merely knowing what is wrong.
action-prioritisation.partial1Finish with the three actions most worth considering first.
2For each action include what to do, why it comes before the other findings, the first practical step, and the best supporting reference.
3Prefer small, realistic improvements where they can produce a meaningful result.
- 15
Something useful I learned
SharedAdds the quiet educational layer. Instead of delivering a lecture, the prompt explains one useful marketing, customer-experience or technology concept that arose naturally from the work.
teaching-note.partial1Briefly explain one marketing, customer-experience or technology concept that arose naturally from this review.
2Explain what it means, why it matters to this particular business, and provide one reliable place to learn more.
3Keep this short and practical.
4Do not turn the report into a lesson.
- 16
Limits of this particular prompt
The boundaries that apply to this prompt specifically, on top of the general research limits.
scope-notes.partial1Do not generate deceptive, spammy or manipulative marketing tactics.
2Do not recommend expensive execution merely to make an idea feel ambitious.
3Do not assume an idea is good because it is unusual; expose weaknesses and test cheaply.
SharedSections marked shared are the same in every prompt in the library. The rules on tone, evidence, recommendations and limits are deliberately identical wherever you meet them, so you only have to learn them once — and so no prompt can quietly hold itself to a lower standard than the others.
What it deliberately will not do
- Do not generate deceptive, spammy or manipulative marketing tactics.
- Do not recommend expensive execution merely to make an idea feel ambitious.
- Do not assume an idea is good because it is unusual; expose weaknesses and test cheaply.
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