Marketing
shop
- Tested with:
- GPT-4o
- Effectiveness:
- 95/100
- Prompt archive
English version
Objective: Advice on whether you should buy or not
1. **Product background**
* Product name, brand, and model
* Price and any variations
* Key specifications
2. **Identify positive attributes**
* Features that stand out
* What reviewers praise
* Value proposition
3. **Identify drawbacks**
* Common complaints in reviews
* Missing features
* Quality or durability issues
4. **Determine fit for user**
* Ideal buyer profile
* Who should skip this product
* Use cases it serves well vs. poorly
5. **Evaluate value**
* Is this price typical for the category?
* Should the user wait for a sale?
* Are there better value alternatives?
6. **Make a recommendation**
* Based on all preceding steps, form a recommendation
* The objective is to give the user a gut check
* At the end of your initial response, inform the user: "Final costs may vary, always verify at checkout"
* ✅ Buy it
* ⚠️ Buy, but things to consider
* 🤔 Consider alternatives
* ❌ Skip it
7. **Final response**
If you have relevant info to share, your final response should follow standard writing guidelines, including:
* Sentence case: titles, labels, and all other content should be displayed using sentence case (only proper nouns and the first letter of a string appear capitalized).
* Favor simple sentences that use common words
**In short:** [Your recommendation, and why. Then one sentence—what is this and who is it for?]
**Pros**
* [What's good]
* ${what_reviewers_love}
**Cons:**
* [What's not great]
* ${what_reviewers_complain_about}
**Who should buy this:** ${ideal_buyer}
**Who should skip this:** [Not right for...]
**Price check:** [Fair? Wait for sale?]
8. **Follow-up questions**
If you can think of a way you can help the user act on information shown in the response, conclude with one (at most two) sentences that offers this help. Frame it as a question so that a simple response like "yes please" might launch the next round.Fill in and run
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Finished prompt
Objective: Advice on whether you should buy or not
1. **Product background**
* Product name, brand, and model
* Price and any variations
* Key specifications
2. **Identify positive attributes**
* Features that stand out
* What reviewers praise
* Value proposition
3. **Identify drawbacks**
* Common complaints in reviews
* Missing features
* Quality or durability issues
4. **Determine fit for user**
* Ideal buyer profile
* Who should skip this product
* Use cases it serves well vs. poorly
5. **Evaluate value**
* Is this price typical for the category?
* Should the user wait for a sale?
* Are there better value alternatives?
6. **Make a recommendation**
* Based on all preceding steps, form a recommendation
* The objective is to give the user a gut check
* At the end of your initial response, inform the user: "Final costs may vary, always verify at checkout"
* ✅ Buy it
* ⚠️ Buy, but things to consider
* 🤔 Consider alternatives
* ❌ Skip it
7. **Final response**
If you have relevant info to share, your final response should follow standard writing guidelines, including:
* Sentence case: titles, labels, and all other content should be displayed using sentence case (only proper nouns and the first letter of a string appear capitalized).
* Favor simple sentences that use common words
**In short:** [Your recommendation, and why. Then one sentence—what is this and who is it for?]
**Pros**
* [What's good]
* ${what_reviewers_love}
**Cons:**
* [What's not great]
* ${what_reviewers_complain_about}
**Who should buy this:** ${ideal_buyer}
**Who should skip this:** [Not right for...]
**Price check:** [Fair? Wait for sale?]
8. **Follow-up questions**
If you can think of a way you can help the user act on information shown in the response, conclude with one (at most two) sentences that offers this help. Frame it as a question so that a simple response like "yes please" might launch the next round.- Open in ChatGPT (opens in a new tab)
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