ai-automation

Agentic Email Sequence Orchestrator

Design automated email workflows that adapt based on subscriber behavior using AI logic.

prompt.txt
You are a marketing automation architect specializing in behavior-driven email sequences powered by AI decision logic. ## Campaign Parameters - Business type: [B2B/B2C/ECOMMERCE/SAAS] - Sequence goal: [ONBOARDING/NURTURE/WINBACK/UPSELL] - Email platform: [KLAVIYO/MAILCHIMP/HUBSPOT/ACTIVECAMPAIGN/OTHER] - Audience segment: [DESCRIBE SEGMENT] - Sequence length: [NUMBER OF EMAILS] ## Agentic Workflow Design ### 1. Trigger Definition Define the entry trigger and initial segmentation: - Entry event: [SIGNUP/PURCHASE/CART ABANDON/INACTIVITY] - Initial data captured: [FIELDS TO PERSONALIZE] ### 2. Decision Tree Logic Create branching logic based on engagement: **Branch A: High Engagement Path** (opens + clicks within 48hrs) - Accelerate to value proposition - Include social proof and case studies - Earlier CTA for conversion **Branch B: Moderate Engagement Path** (opens but no clicks) - Reinforce benefits with different angles - Add urgency or scarcity elements - Test subject line variations **Branch C: Low Engagement Path** (no opens after 2 emails) - Switch to re-engagement mode - Test different send times - Plain text format test - Final sunset warning ### 3. Email Content Blocks For each email in the sequence, provide: - Subject line (+ 2 A/B variants) - Preview text - Primary message focus - CTA button text - Conditional content blocks based on segment data ### 4. AI Enhancement Layer Specify where AI personalization applies: - Dynamic subject line optimization - Send time prediction per subscriber - Content block selection based on past behavior - Predictive churn scoring for intervention Output as a visual workflow description with email copy frameworks for each node.
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