Last Updated: 6th Oct 2025
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Other software providers call these markers, tags and some labels.
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Organize and categorize conversations, messages, and users with flexible labels.
TL;DR
- Flexible Organization: A label is just a text string that is assigned to an entity in botBrains. Create labels to categorize conversations, messages, and users without predefined taxonomies
- Filter & Search: Quickly find entities with specific labels or explicitly without them across your entire project
- Batch Operations: Apply labels to multiple items at once, making bulk organization effortless
- List-Building: You can later export only these marked conversations, messages, or users
Primary Value and Use Cases
Labels provide a lightweight, flexible way to organize and categorize your data. Unlike fixed categories, labels can be created on-the-fly and applied to multiple entity types.
Common Use Cases:
- Quality Assurance: Mark conversations for review ("needs-review", "escalation", "resolved")
- Customer Segmentation: Label users by cohort ("beta-tester", "enterprise", "trial")
- Message Analysis: Tag specific messages for future reference, e. g. particularly amazing conversations ("Praise", "Great")
- Cross-Team-Feedback: Mark messages/conversations to share with the internal Product / Documentation Team.
Audience, Roles, and Prerequisites
Who Should Use This:
- Support teams organizing customer inquiries
- QA teams tracking conversation quality