API Best Practices¶

This document explains best practices for working with the Voucher API. It covers key concepts and recommended approaches for validation, advanced types, and analytics to help you build robust integrations.

Validation Best Practices¶

Validation Timing¶

Proper timing of validation requests ensures a smooth user experience and system reliability:

Early Validation: Validate vouchers as soon as users enter them to provide immediate feedback and improve user experience.
Revalidation: Always revalidate vouchers before applying them, as conditions may have changed between validation and application.
Caching: Cache validation results for a short period to improve performance, but ensure they're refreshed when needed.

Error Handling¶

Effective error handling improves both system reliability and user experience:

Comprehensive Error Handling: Handle all possible error cases and provide clear, actionable error messages to users.
Logging: Log validation failures for monitoring and debugging purposes.

Performance Optimization¶

Optimizing validation performance ensures a responsive user experience:

Use efficient validation algorithms
Implement caching strategies
Monitor response times
Use database indexes for voucher lookups

Advanced Types Best Practices¶

Configuration¶

Properly configuring advanced voucher types ensures they work as expected:

Validation Testing: Always test advanced voucher configurations with various scenarios to ensure they work as expected.
Edge Cases: Consider edge cases like overlapping tiers, conflicting conditions, and stacking limits during configuration.
Performance Monitoring: Monitor the performance impact of complex voucher types, especially conditional and stackable vouchers.

Implementation¶

Implementing advanced voucher types requires careful planning:

Conflict Resolution: Implement clear rules for handling conflicts between different voucher types and stacking scenarios.
Usage Tracking: Track usage patterns for advanced vouchers to understand their effectiveness and prevent abuse.
Change Logging: Log all changes to advanced voucher configurations for audit purposes and troubleshooting.

Testing¶

Thorough testing ensures advanced voucher types work correctly:

Comprehensive Testing:
Test all possible combinations of conditions
Verify discount calculations for edge cases
Validate stacking behavior with multiple vouchers
Check performance with high-volume scenarios
Integration Testing:
Test with real order data
Validate against existing voucher types
Ensure compatibility with validation endpoints
Verify analytics tracking for advanced types

Analytics Best Practices¶

Data Collection¶

Effective data collection provides valuable insights:

Track all voucher interactions including views, attempts, and successful applications to get complete insights
Set up real-time alerts for unusual patterns or performance drops to respond quickly to issues
Analyze performance by customer segments, geographic regions, and time periods to identify optimization opportunities

Performance Monitoring¶

Monitoring key metrics helps evaluate voucher effectiveness:

Conversion Rate: Percentage of voucher views that result in usage
Revenue Impact: Net revenue change from voucher campaigns
Customer Acquisition: New customers acquired through vouchers
Repeat Usage: Customers who use vouchers multiple times

Export Management¶

Managing analytics exports efficiently ensures data availability:

Schedule exports during off-peak hours
Use appropriate formats for your analysis tools
Clean up old exports to manage storage
Validate export data before analysis
Remember exports are automatically deleted after 24 hours
Download and store important reports locally