User Segment-Based Feature Targeting

Target named user segments like beta testers, premium users, or internal teams. Manage groups separately from individual flag configurations.

Targeting

Detailed Explanation

Segment-Based Targeting

User segments are named groups of users that can be targeted across multiple feature flags. Instead of listing individual user IDs in each flag, you define segments once and reference them everywhere.

Configuration Example

{
  "ai-assistant": {
    "name": "AI Assistant Feature",
    "description": "GPT-powered assistant in the help center",
    "type": "boolean",
    "enabled": true,
    "defaultValue": false,
    "targeting": [
      {
        "type": "user-segment",
        "segment": "beta-testers"
      }
    ]
  }
}

Defining Segments

Segments are typically defined separately from flags. A segment has its own rules:

{
  "segments": {
    "beta-testers": {
      "name": "Beta Testers",
      "rules": [
        { "attribute": "plan", "op": "in", "values": ["enterprise"] },
        { "attribute": "opted_in_beta", "op": "equals", "values": ["true"] }
      ],
      "included": ["user-001", "user-042"],
      "excluded": ["user-099"]
    }
  }
}

Segments vs User IDs

Aspect User IDs Segments
Scale 1-100 users Unlimited (rule-based)
Maintenance Per-flag management Central management
Reusability Single flag only Across all flags
Dynamic Static list Rule-based membership
Audit trail Change per flag Change in one place

Common Segment Definitions

  • beta-testers: Users who opted into the beta program
  • internal-team: Employees identified by email domain
  • premium-users: Users on paid plans
  • power-users: Users exceeding a usage threshold
  • early-adopters: Users who signed up before a certain date

LaunchDarkly Segment Rules

In LaunchDarkly, segments use segmentMatch in flag rules:

{
  "rules": [
    {
      "clauses": [
        {
          "attribute": "segment",
          "op": "segmentMatch",
          "values": ["beta-testers"]
        }
      ],
      "variation": 0
    }
  ]
}

Best Practices

  • Name segments descriptively (enterprise-beta not group-1)
  • Keep segment definitions close to your flag management code
  • Review segment membership regularly; remove inactive users
  • Use rule-based segments over static user lists when possible

Use Case

A SaaS company maintains a 'beta-testers' segment of 500 enterprise customers who opted into early access. When new AI features are ready for preview, the team simply targets the beta-testers segment instead of managing 500 user IDs in each flag.

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