💡 AI Inbox Labels are available on the Engage AI plan.
AI Inbox Labels are a powerful time-saver that automatically categorize your incoming LinkedIn and email replies.
Once activated, Interceptly’s AI analyzes reply sentiment and applies a label based on the intent behind the message. This helps you understand engagement levels instantly and prioritize your follow-ups.
AI labeling works best when your team consistently reviews and acts on labeled conversations daily.
What AI Inbox Labels Are
AI Inbox Labels use sentiment detection to automatically categorize incoming messages into predefined engagement categories.
Instead of manually reviewing every reply, the AI scans the message content and assigns one of eight core sentiment labels.
This gives you a quick, visual understanding of:
Who is interested.
Who needs follow-up.
Who is not a fit.
Who requires action.
Why AI Inbox Labels Are Important
AI labeling helps you focus your time where it matters most.
It improves efficiency by:
Highlighting high-intent replies immediately.
Reducing time spent sorting inbox messages.
Helping teams prioritize leads.
Making reporting and filtering easier.
🚨 Important: AI labels are designed to assist decision-making, not replace human review. Always read key replies before taking action.
The 8 AI Sentiment Labels
Interceptly tracks eight core sentiments to provide a comprehensive view of prospect engagement.
Interested 🥳
The prospect has shown clear interest in your offer.
Example replies:
“This sounds quite interesting! Can you provide more details on how this would benefit our operations?”
“I’ve been looking for a solution like this. Could we schedule a call to discuss this further?”
This label signals high-priority follow-up.
Follow Up ⏱️
The prospect suggests a follow-up may be worthwhile, but does not express strong interest yet.
Example replies:
“Thanks for following up. I’ll get back to you soon.”
“Received your message. I’ll review it and respond later.”
This label signals a warm but not urgent opportunity.
Neutral 🥱
The prospect replies without clear interest or disinterest.
Example replies:
“Thanks for connecting.”
“Likewise.”
This is usually an early-stage or low-engagement conversation.
Not Interested 👎
The prospect politely declines or indicates they are not currently interested.
Example replies:
“Thanks for the info, but we’re not looking to make any changes at this time.”
“We have already invested in a similar solution, so we won’t be needing your services.”
This label signals low-priority follow-up.
Hard No 🛑
The prospect provides a firm and definitive rejection.
Example replies:
“Unsubscribe.”
“Do not contact me again.”
This label signals no further outreach.
🚨 Important: Always respect hard rejections immediately to protect your sender reputation.
Wrong Contact 🤷
The prospect indicates they are not the correct decision-maker.
Example replies:
“Unfortunately, I am not the decision maker at XYZ Company for new products.”
“I am not the person who makes decisions for platforms like this.”
This label signals a need to identify the correct contact.
Making an Introduction 🤝
The prospect provides a referral or new point of contact.
Example replies:
“I’ll forward your email to Jane Doe at [email protected].”
“You need our HR department. Leave your phone number, and I’ll pass it on.”
This label signals an opportunity to expand your outreach within the account.
Out of Office 🏖️
The prospect is currently unavailable.
Example replies:
“I am currently out of the office and will return on Tuesday.”
“I am away until 21 September. For urgent matters, contact [email protected].”
This label signals a delayed follow-up reminder.
Best Practices
Review "Interested" replies first each day.
Use filters to group conversations by label.
Combine AI labels with manual "Lead" or "Customer" status updates.
Periodically review labeling accuracy to ensure it matches your sales process.
💡 Tip: Pair AI Inbox Labels with CRM updates to keep pipeline tracking aligned with inbox activity.
FAQ
Q: How many labels does AI Inbox Labeling use?
A: It uses eight core sentiment labels to categorize replies.
Q: Do I need to manually apply these labels?
A: No, the AI automatically applies them once the feature is activated.
Q: Can I override an AI label?
A: Yes, you can manually adjust labels if needed.
Q: Does AI labeling work for both LinkedIn and email?
A: Yes, it categorizes both LinkedIn and email replies.
🚀 Success! You are now ready to use AI Inbox Labels to prioritize conversations and respond faster to high-intent prospects.