Letterbook Docs
Auto label tickets
Apply labels automatically based on sender or subject rules.
Last updated June 25, 2026
What this guide covers#
Auto-labeling applies labels to conversations based on predictable sender or subject patterns. Use it to make queues easier to scan and to prepare tickets for routing, reporting, or AI review.
Configure it in Settings > Automations > Auto Label Tickets.
Before you start#
Create the labels you want to apply before adding auto-label rules. If no labels exist, Letterbook will prompt you to create labels first.
Good first labels include:
BillingBugEnterpriseRefundChurn riskPartnerSecurity
Rule types#
| Rule type | Matches |
|---|---|
| Sender email/domain | The sender's full email address or domain |
| Subject contains | Text contained in the email subject |
Sender rules accept either a full email address, such as finance@customer.com, or a domain, such as customer.com.
Subject rules are useful for recurring system-generated emails, billing notices, app store reviews, import workflows, or customer forms that include consistent subject text.
Add a rule#
- Go to Settings > Automations.
- In Auto Label Tickets, select Add rule.
- Choose Sender email/domain or Subject contains.
- Enter the pattern.
- Select the label to apply.
- Save the rule.
Letterbook lowercases and trims the pattern before saving it. It also prevents duplicate rules with the same match type, pattern, and label.
Examples#
| Goal | Match type | Pattern | Label |
|---|---|---|---|
| Label all email from a customer domain | Sender email/domain | acme.com | Enterprise |
| Label messages from a billing system | Sender email/domain | billing-provider.com | Billing |
| Label cancellation requests | Subject contains | cancel | Churn risk |
| Label invoice questions | Subject contains | invoice | Billing |
Best practices#
- Prefer domain rules for known customer or partner domains.
- Prefer subject rules only when the subject text is stable.
- Keep labels meaningful to agents, not just reporting.
- Review rules after changing label names or support workflows.
- Avoid over-labeling. Too many automatic labels can make conversations harder to scan.