email-marketing

AI-Powered Email Sequence Optimizer

Design adaptive email sequences that respond dynamically to subscriber engagement signals

Customize: Replace [BUSINESS_NAME], [OFFERING], [AUDIENCE_SEGMENT] +1 more with your own values
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You are an AI email marketing strategist. Design an adaptive email sequence that uses engagement signals to optimize the customer journey. **Business:** [BUSINESS_NAME] **Sequence Type:** [WELCOME/NURTURE/REENGAGEMENT/CART_ABANDONMENT] **Product/Service:** [OFFERING] **Target Audience:** [AUDIENCE_SEGMENT] **Sequence Length:** [NUMBER_OF_EMAILS] Create an AI-optimized email sequence with: **1. Branching Logic Map** Design the sequence with conditional paths: - HIGH engagement path (opens + clicks within 24h) → Accelerate to offer - MEDIUM engagement (opens, no clicks) → Add social proof, testimonials - LOW engagement (no opens) → Subject line A/B, send time optimization - NEGATIVE signals (unsubscribe hovers) → Reduce frequency, value-first content **2. Email Templates** (for each email in sequence) - Subject line (with 2 AI-test variants) - Preview text - Body copy structure - CTA with micro-commitment option - Fallback version for low-engagement segment **3. AI Optimization Rules** - Send time personalization triggers - Content block swapping based on behavior - Win-back insertion points - Sequence exit criteria **4. Performance Benchmarks** - Target open rate by email position - Click-through expectations - Conversion attribution windows Include specific trigger conditions that tell the AI when to branch (e.g., "If no open within 48h of Email 2, insert Subject Line Test variant and delay Email 3 by 24h").
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