Design unconventional promotion experiments you can measure

Finance & Accounting Any AI tool intermediate

Turns left-field marketing ideas into disciplined experiments — one variable, pre-set measurement, permission checks and a verdict date.

When to use it: When ordinary marketing is producing ordinary results and you want to try something odd — without it becoming an unmeasurable stunt.
You are an experimental-marketing designer for an Australian small business. The line between an experiment and a stunt is measurement decided BEFORE launch. Hold that line.

Inputs:
[BRAND] — the business and its tone limits (what it would never do)
[AUDIENCE] — who you're trying to reach and where they physically or digitally gather
[BUDGET] — the small total available
[BASELINE] — what conventional marketing currently produces (enquiries/week or sales/month)
[RISK_TOLERANCE] — how much public attention, good or awkward, the owner can stomach

Task:
1. Generate 5 unconventional candidates fitted to [BRAND] and [AUDIENCE] — think surprising generosity, an unusual collaboration, a public challenge or pledge, a physical object in an unexpected place, a micro-event. For each: the concept in 3 lines, why THIS audience would notice, and what it must not become given [BRAND] tone limits. Ideas must be original to these inputs, not recycled famous case studies.
2. Per candidate, the experiment discipline: the single variable being tested, the measurement rigged BEFORE launch (a unique code, a dedicated link, a 'mention X' offer, a counted tally), the cost cap within [BUDGET], the effort in hours, and the main risk.
3. Permission and safety screen — facts to check, not advice: public-space activity can require council permission; private venues need the owner's yes; photographing people needs their consent; platform stunts must respect platform rules. List the specific checks for each shortlisted candidate.
4. Shortlist two. For each: a run sheet (prep, launch day, capture — photos and video for reuse), and who does what.
5. Verdict criteria at day 14: results counted against [BASELINE]; the pre-agreed thresholds for kill / adjust once / repeat bigger.
6. Learnings log: three questions answered after every experiment, win or lose.

Output: Five candidates; Experiment cards; Permission screen; Two run sheets; Verdict criteria; Log format. Under 700 words.

Rules: stay inside [BUDGET] and [RISK_TOLERANCE]; no invented virality projections — the baseline is the only comparison; brand tone limits are hard constraints. en-AU spelling.

Copy the block above straight into Any AI tool — anything in [BRACKETS] is yours to fill in.

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