Prompt Logic
# Prompt Logic Documentation
## Objective
The prompts were designed to generate authentic and conversion-focused UGC advertisements for social media platforms.
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# Prompt Example 1 — Hook Generation
## Prompt Used
"Generate 10 scroll-stopping hooks for a salon ad targeting women aged 18–30 in Bangalore using an authentic UGC tone."
## Output Example
- “POV: Your hair finally survives Bangalore weather.”
- “This hair spa fixed 6 months of damage.”
- “I found a salon that actually understands my hair.”
## Why This Prompt Works
This prompt:
- targets a specific audience
- requests authentic UGC tone
- focuses on emotional relatability
- encourages scroll-stopping content
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# Prompt Example 2 — UGC Script Generation
## Prompt Used
"Write a 30-second Instagram Reel UGC ad script using the structure Hook → Problem → Solution → CTA."
## Output Example
### Problem
“My hair looked dry and damaged after coloring.”
### Solution
“Then I tried GlowUp Salon’s hair spa treatment…”
### CTA
“Book your appointment before weekend slots fill up!”
## Why This Prompt Works
This framework:
- creates emotional connection
- introduces a clear solution
- encourages conversions with CTA
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# Prompt Engineering Techniques Used
- Role prompting
- Tone control
- Audience targeting
- Platform adaptation
- Conversion-focused prompting
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# Marketing Principles Applied
- Emotional storytelling
- Problem-solving approach
- Authentic UGC style
- Short-form content optimizationwhen to use it
Community prompt sourced from the open-source GitHub repo mahekshaik147/FUTURE_PE_02 (NOASSERTION). A "Prompt Logic" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
marketingcommunitygeneral
source
mahekshaik147/FUTURE_PE_02 · NOASSERTION
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