Moving beyond basic name personalization to genuinely relevant, personalized email communication. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Email Personalization Strategy. # Context Original working context: Design a personalization strategy for {{brand_name}}'s email program. My email platform: {{platform}}. Data I have access to: {{list}}. Create: (1) a personalization ladder — from basic (first name) to advanced (dynamic product recommendations), (2) the specific personalization tokens and merge tags to use in each email type, (3) the fallback logic when personalization data is missing, (4) 3 personalized email examples showing what the email looks like for different customer segments, and (5) the data collection strategy to enable more advanced personalization over time. 📌 # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.Moving beyond basic name personalization to genuinely relevant, personalized email communication. ✅
Purchase-history-based personalization ('Because you bought X, you might love Y') outperforms browse-based personalization on revenue per email — purchase intent is stronger than browse intent as a signal for what to recommend next.
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