Split Technology Intelligence

What is Split?

Split is a feature delivery platform combining feature flags with experimentation and analytics. Founded in 2015, Split enables engineering teams to decouple deployment from release, allowing controlled rollouts and data-driven decisions.

Unlike simple feature flag tools, Split provides statistical rigor for measuring feature impact on business metrics, helping teams understand what actually works.

Key Features

Feature Management

• Targeting: Complex rules engine
• Segments: Reusable user groups
• Environments: Multi-environment support
• Kill switches: Instant feature disable

Experimentation

• A/B testing: Statistical significance
• Metrics: Custom event tracking
• Attribution: Feature-to-metric linking

Analytics

• Impact: Measure feature outcomes
• Data export: Warehouse integration
• Alerts: Metric degradation warnings

Use Cases

Progressive Delivery

Engineering teams roll out features to 1% of users, monitor metrics, then gradually increase. Catch problems before full release.

Product Experimentation

Product managers run controlled experiments to measure feature impact on conversion, engagement, and revenue metrics with statistical confidence.

Infrastructure Changes

Platform teams test new database, cache, or API versions with real traffic. Compare performance metrics before full migration.

Release Coordination

Teams coordinate cross-functional launches with marketing, ensuring features go live at exactly the right moment without deployment.

Code Examples

SDK Setup

const SplitFactory = require('@splitsoftware/splitio');

const factory = SplitFactory({
    core: {
        authorizationKey: 'YOUR_SDK_KEY'
    }
});

const client = factory.client();

Feature Evaluation

// Get treatment for user
const treatment = client.getTreatment('user-123', 'new_checkout_flow');

if (treatment === 'on') {
    showNewCheckout();
} else {
    showLegacyCheckout();
}

Track Events

// Track conversion event
client.track('user-123', 'user', 'purchase', 99.99, {
    product_id: 'SKU-456',
    category: 'electronics'
});

Comparison

vs LaunchDarkly

• Analytics: Split stronger built-in
• Flags: LaunchDarkly more features
• Stats: Split more rigorous

vs Optimizely

• Focus: Split developer-centric
• Audience: Optimizely marketer-friendly
• Integration: Split better CI/CD

Differentiators

• Unified flags and experimentation
• Strong data warehouse integration
• Feature impact measurement