Managing Threads
Email threads in Airmailer represent complete conversations between your customers and AI agent. Learn how to view, navigate, and work with these threads effectively.
Viewing Thread History
Accessing a Thread
- Navigate to Conversations in the sidebar
- Click on any conversation in the list
- The full thread opens with all messages
Thread Layout
Messages appear in chronological order:
┌─────────────────────────────────────────────────┐
│ Customer Message (Inbound) │
│ "Hi, I have a question about your returns..." │
│ Received: Jan 15, 2026 at 10:30 AM │
├─────────────────────────────────────────────────┤
│ Agent Response (Outbound) │
│ "Thank you for reaching out! Our return..." │
│ Sent: Jan 15, 2026 at 10:31 AM │
├─────────────────────────────────────────────────┤
│ Customer Reply (Inbound) │
│ "Great, and what about exchanges?" │
│ Received: Jan 15, 2026 at 10:45 AM │
├─────────────────────────────────────────────────┤
│ Agent Response (Outbound) │
│ "For exchanges, you can..." │
│ Sent: Jan 15, 2026 at 10:46 AM │
└─────────────────────────────────────────────────┘
Thread Information
Message Details
Each message displays:
- Direction: Inbound (customer) or Outbound (agent)
- Timestamp: When sent/received
- Content: Full message text
- Status: Processing state (for recent messages)
Thread Metadata
The thread header shows:
- Customer email address
- Subject line
- Total message count
- First contact date
- Last activity time
Navigating Threads
From Conversation List
- Click any row to open that thread
- Use browser back to return to list
- Keyboard navigation supported
Thread Pagination
For threads with many messages:
- Scroll to see all messages
- Oldest messages at top, newest at bottom
- No pagination needed—full thread visible
Thread Actions
Review Agent Responses
For each agent response, you can:
- Read the full content
- Check accuracy against your documents
- Evaluate tone and brand consistency
- Note any improvements needed
Link to Activity Details
For deeper analysis:
- Note the message timestamp
- Navigate to Activity Feed
- Find the corresponding activity entry
- View execution details and logs
Understanding Thread Context
Conversation History
Your AI agent sees the full thread history when responding, enabling:
- Context-aware responses
- Reference to earlier messages
- Coherent multi-turn conversations
Example
Customer: "Can I return the blue sweater I bought?"
Agent: "Yes! You have 30 days to return items..."
Customer: "What about the shipping cost?"
Agent: "For the sweater return you mentioned,
return shipping is free for items..."
The agent remembers "blue sweater" context from the first message.
Thread Patterns to Watch
Healthy Patterns
- Quick resolution (1-2 exchanges)
- Clear answers to questions
- Customer satisfaction indicators
Warning Signs
- Many back-and-forth messages
- Repeated questions
- Customer expressing frustration
- Agent unable to answer
What to Do
If you see warning signs:
- Review the conversation
- Identify what went wrong
- Update documents if information missing
- Adjust rules if behavior was wrong
- Consider tone changes if appropriate
Bulk Operations
Currently, threads are managed individually. For bulk operations:
- Use Activity Dashboard for aggregate views
- Export data for external analysis
- Contact support for enterprise needs
Thread Retention
Threads are retained according to your plan:
| Plan | Retention | |------|-----------| | Starter | 30 days | | Growth | 90 days | | Enterprise | Custom |
After retention period, threads are archived and no longer visible in the interface.
Search and Filter
Finding Specific Threads
Use the conversation list to:
- Sort by date (newest/oldest)
- Filter by status
- Search by customer email (coming soon)
Quick Tips
- Recent conversations appear first by default
- Check the date range for historical threads
- Use Activity Feed for searching by content
Best Practices
Regular Review
Schedule time to review threads:
- Daily: Quick check of recent activity
- Weekly: Random sample of completed threads
- Monthly: Deep analysis of patterns
Document Improvements
Use threads to improve your agent:
- Note questions the agent struggled with
- Add relevant content to documents
- Adjust rules for better handling
- Refine tone for consistency
Customer Insights
Threads reveal:
- What customers actually ask
- How they phrase questions
- What information they need
- Where your documentation has gaps