Advanced Prompting Techniques Guide
Master the art of prompt engineering for Sales, Marketing, Customer Success, and Revenue Operations
Essential Elements for Quality Prompts
High-quality prompts should incorporate these essential elements
Advanced Prompting Techniques
Explore 13 powerful prompting techniques with examples for different business functions
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Each technique includes real-world examples for Sales, Marketing, Customer Success, and Revenue Operations
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Advanced LLM Prompting Best Practices
Master these techniques to get consistently better results from AI models
1Be Specific and Clear
Provide detailed information about your goals, audience, and desired outcomes. The more specific you are, the better the results.
Example:
❌ Weak: "Write content about our product."
✅ Strong: "Write a 300-word product description for our AI analytics dashboard targeting marketing directors at enterprise SaaS companies. Emphasize how it reduces reporting time by 70% and increases campaign ROI."
2Use Examples
Include examples of the type of output you want. This helps the AI understand your expectations and style preferences.
Example:
❌ Weak: "Write some email subject lines."
✅ Strong: "Write 5 email subject lines for our webinar invitation. Here are examples of our best-performing subject lines: 'Last chance: 5 seats left for tomorrow's masterclass' and 'Join 500+ CMOs who discovered this growth hack.'"
3Define Constraints
Specify any limitations or requirements, such as word count, tone, format, or specific information to include or exclude.
Example:
❌ Weak: "Write a blog post about cybersecurity."
✅ Strong: "Write a 1,200-word blog post about zero-trust security for remote workforces. Use a professional but conversational tone, include 3-5 actionable tips, avoid technical jargon, and include a section addressing compliance requirements for healthcare organizations."
4Provide Relevant Background
Share necessary context about your industry, company, or situation that will help the AI generate more relevant content.
Example:
❌ Weak: "Write a sales email for our software."
✅ Strong: "Write a sales follow-up email after a demo. We're a B2B SaaS company selling inventory management software to mid-market retailers. Our key differentiators are real-time analytics and seamless POS integration. The prospect's main concerns were implementation time and staff training requirements."
Advanced Tip: Combine Multiple Techniques
For the most powerful results, combine multiple prompting techniques from above. For example, use Chain-of-Thought with Role-Based Prompting, or combine Few-Shot examples with Structured Output requirements.
Example Combination:
"You are an experienced Chief Marketing Officer with expertise in B2B SaaS marketing (Role-Based). Analyze our declining email open rates using the following steps: 1) Examine subject line patterns, 2) Analyze send time and frequency, 3) Evaluate segmentation approach (Chain-of-Thought). For each step, provide specific recommendations based on industry benchmarks. Here are two examples of our recent campaigns with their results: [Example 1], [Example 2] (Few-Shot). Format your response as a structured report with sections for Analysis, Findings, and Recommendations (Structured Output)."
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Prompt Engineering Cheatsheet
A visual guide to prompt engineering techniques and applications
