[WIP] feat: Add experiment segmentation by user attributes

[Copilot]

Analysis Complete - Implementing User Attribute Segmentation for A/B Testing

Task: Complete JIRA ticket MKTG-6535 to add support for experiment segmentation by user attributes (location, device type, user tier).

Current State Analysis:

• ✅ Repository has a working React frontend and Express.js backend
• ✅ Basic experiment management exists (create, update, delete experiments)
• ✅ Variant assignment and tracking system is implemented
• ✅ TargetingRule interface exists but only supports percentage-based targeting
• ✅ Build system works correctly

Implementation Plan:

Backend Changes:

• Update TargetingRule interface to support attribute-based conditions
• Add user attribute matching logic in assignVariant function
• Update experiment assignment API to handle user attributes
• Add validation for attribute-based targeting rules
• Update sample data to include attribute-based experiments

Frontend Changes:

• Add targeting rules section to ExperimentForm component
• Create UI components for defining attribute conditions
• Update experiment types to include targeting rules
• Add user-friendly interface for setting up attribute-based segmentation

Testing & Documentation:

• Add tests for attribute matching logic
• Update API documentation for new targeting features
• Add example use cases in documentation

User Attributes to Support:

• Location (country, region, city)
• Device type (mobile, desktop, tablet)
• User tier (free, premium, enterprise)
• Custom attributes support

Current Technical Assessment:

• Server runs on port 3002, Frontend on port 3003
• TypeScript setup is working
• Build and development workflow functional
• No existing test framework found (will add if needed)

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