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AI Reply Classification

Classify email and LinkedIn replies using AI — detect sentiment, intent, objections, and route to appropriate follow-up actions.

skillAI AutomationGTM VaultOutboundData Ops
Original
2by Roheel Jain
Skill Content

AI Reply Classification

When to Use

Use when processing inbound replies from outreach campaigns to auto-classify and route responses.

Classification Categories

CategoryDescriptionAction
InterestedWants to learn more, asks questionsRoute to SDR
Meeting BookedConfirms meeting or asks for timeUpdate CRM, notify AE
Not NowTiming isn't rightAdd to nurture, snooze 90 days
Not InterestedClear rejectionRemove from sequence
Wrong PersonNot the decision makerAsk for referral
Out of OfficeAuto-reply, OOOSnooze, retry later
UnsubscribeWants to opt outRemove immediately

Prompt Template

Classify this email reply into one category:
interested, meeting_booked, not_now, not_interested,
wrong_person, out_of_office, unsubscribe

Reply text: """
{{reply_body}}
"""

Respond with JSON:
{ "category": "...", "confidence": 0.0-1.0, "reason": "..." }

Confidence Thresholds

  • >0.85: Auto-route, no human review
  • 0.60-0.85: Route + flag for review
  • <0.60: Manual classification required

Implementation Notes

  • Use DeepSeek for cost efficiency on high volume
  • Fall back to GPT-4 for low-confidence classifications
  • Log all classifications for model evaluation
  • Review accuracy weekly, retune prompts monthly
Tech Stack
OpenAI
OpenAI
DeepSeek AI
DeepSeek AI
Supabase
Supabase
Slack
Slack