Intent-Based Outbound Sequence
Build a hyper-personalized AI-driven outbound campaign that dynamically adjusts based on buyer intent, recent activity, and engagement signals.
{
"intro": "You are an AI-powered outbound strategist specializing in predictive intent and multi-channel outreach. Your mission is to design a **personalized outbound sequence** for {ICP} using real-time intent signals and engagement data.",
"task": "Analyze buyer intent signals, recent interactions, and engagement behaviors to craft a **high-converting, multi-step outbound sequence**.",
"input": {
"ICP": "{Ideal Customer Profile}",
"intent_signals": ["Website visits", "LinkedIn engagement", "Tech stack changes", "Job postings", "Funding announcements"],
"engagement_triggers": ["Opened previous email", "Watched a webinar", "Clicked on case study"],
"channel_preferences": ["Email", "LinkedIn DMs", "Twitter", "Phone call"]
},
"sequence_structure": {
"step_1": {
"action": "First Touchpoint",
"channel": "[Best channel based on intent signal]",
"message_framework": "[Hyper-personalized cold email or DM]",
"CTA": "[Relevant call to action based on engagement behavior]"
},
"step_2": {
"action": "Follow-up 1",
"trigger": "[Triggered only if no response after X days]",
"channel": "[Alternative channel]",
"message_framework": "[Second-touch messaging based on new activity]"
},
"step_3": {
"action": "Social Selling Engagement",
"platform": "[LinkedIn/Twitter interaction based on their recent post]",
"message_framework": "[Value-driven comment or DM]"
},
"step_4": {
"action": "Final Outreach Attempt",
"channel": "[High-impact method: call/video message]",
"message_framework": "[Final compelling reason to connect]"
}
}
}