Normalize price, quantity, quality, fees, conditions, timing, rewards, returns, and unused volume before comparing savings. 제공할 내용: Promotion and regular offers, Actual need and use pattern, Comparison method. 예상 결과: A like-for-like promotion comparison with effective cost, break-even use, caveats, and verification questions.
1
맥락 추가
텍스트는 이 브라우저에 유지됩니다. AILesson Prompts는 이를 모델이나 서버로 보내지 않습니다.
2
프롬프트
채워지지 않은 필드는 플레이스홀더로 표시되므로 프롬프트를 복사하고 편집할 수 있습니다
Check whether the promotion is better than the regular offer for the supplied real need. A discount label or reference price is not proof of savings.
Exact offers, seller, model/quality, quantities, prices, dates, fees, taxes, shipping, memberships, coupons, gifts, financing, returns, expiry, and sources:
[offers]
Required quantity/timing, use rate, storage, spoilage, substitution, cash budget, stock, and value of extras:
[use]
Currency/date, cost basis, price history, reward valuation, opportunity cost, verification date, and decision rule:
[method]
Verify that options are identical or state differences. Normalize total cash paid, unavoidable fees/tax/shipping/membership, usable quantity, unit and per-use cost, timing, return/warranty, and quality. Treat coupons, points, gifts, bundles, subscriptions, financing, and future credits at zero unless the user supplies a defensible redemption/use value; show them separately. Do not accept a crossed-out MSRP or seller reference price as the regular baseline without dated evidence. Calculate break-even usable quantity and the cost of excess, expiry, storage, lock-in, delayed cash, and forfeited flexibility. Return a source table, formulas, base and downside cases, arithmetic reconciliation, promotion traps, better/no-better/no-decision conclusion, and questions to verify immediately before purchase.
기본적으로 비공개프롬프트 구성은 브라우저에서 로컬로 이루어집니다. 조직에서 허용하지 않는 한 기밀 정보를 AI 서비스에 입력하지 마세요.
입력에서 결과까지
적용 예시
구체적인 맥락이 이 레시피를 바로 사용할 수 있는 결과로 바꾸는 방법을 확인하세요
실제 입력
Promotion and regular offers
Same Brand Q dishwasher tablets, same seller and formula. Regular: box 30 for CNY 48, free pickup, return unopened within 7 days. Promotion 28–30 Aug: three boxes of 30 for CNY 126 plus CNY 8 delivery unless order reaches 149; includes 300 store points expiring 30 Sep, seller calls regular value 144. Adding unrelated goods only to waive shipping is not desired. Both prices include tax. Promotion return requires whole bundle unopened; regular stock source is seller page checked 28 Aug. Historical price evidence: user receipt 15 Jul shows one box 45, not 48.
Actual need and use pattern
Household uses 8 tablets/month, has 18 already, storage dry for about six months only; no confirmed product expiry, but user wants at most nine months' supply. Cash budget 150. Points are unlikely to be used before expiry, value zero. No quality difference.
Comparison method
CNY, compare cash paid and tablets likely used within nine months from today, including existing stock. Regular baseline show both current 48 and dated receipt 45; do not claim full price history. Excess tablets valued zero. Decide promotion only if lower effective cost for usable tablets and within quantity cap.
예시 출력
Nine-month need is 72 tablets; existing 18 leaves 54 to buy. Promotion forces 90 new tablets, producing 108 on hand—36 above the stated nine-month cap. If only 54 promotion tablets are usable in the decision window, cash paid is 126+8=134 and effective usable cost is 134/54=CNY 2.48; points are zero. The nominal bundle unit cost 134/90=CNY 1.49 hides excess.
Regular option requires two boxes, 60 new tablets, yielding 78 on hand—6 above the nine-month need. At current CNY 48, cash is 96 and effective cost over the 54 needed tablets is CNY 1.78; using the 15 Jul receipt price only as a dated alternative baseline, two boxes would have been 90 and CNY 1.67 per needed tablet. Regular therefore uses less cash, stays much closer to the cap, and preserves separate-box return flexibility.
Conclusion under the user's rule: promotion is not better. The seller's 144 reference equals 3×48 but does not prove long-run regular value; the dated receipt contradicts it as a universal baseline. Before buying, verify current single-box availability, product expiry/storage, exact delivery and return terms. Break-even versus two current boxes would require the bundle's usable value to exceed its CNY 38 extra cash, which cannot occur here when excess and points are valued zero.
효과가 있는 이유
1
Usable-unit and cash-paid normalization exposes savings that depend on waste, fees, or future redemption.
2
A dated regular-price baseline prevents seller reference prices from creating fictitious discounts.
결과 확인
Are product, seller, quality, quantity, time, tax, fees, return, and warranty truly comparable?
Are rewards and extras separated from cash savings and valued only when likely usable?
Does the decision use actual usable quantity, dated baseline evidence, downside waste, and break-even use?
안심하고 사용하세요
자주 묻는 질문
이 레시피를 언제 사용해야 하는지, 무엇을 제공해야 하는지, 그리고 어떤 부분에서 사람의 검토가 여전히 중요한지에 대한 실용적인 답변
What should I prepare before using “Check whether a promotion beats the regular offer”?
For “Check whether a promotion beats the regular offer,” prepare Promotion and regular offers, Actual need and use pattern, and Comparison method. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.
When is the “Check whether a promotion beats the regular offer” result not ready to use?
The result is not ready if it does not yet deliver the stated outcome—A like-for-like promotion comparison with effective cost, break-even use, caveats, and verification questions—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.
Which AI tools have recorded tests for “Check whether a promotion beats the regular offer”?
The published test record for “Check whether a promotion beats the regular offer” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.
ChatGPT
