Sublyzer provides powerful analytics tools to understand user behavior, measure conversions, and make data-driven decisions. These features help you go beyond basic metrics to truly understand how users interact with your application.

Track how users progress through multi-step processes like signups, checkouts, or onboarding flows.

Creating a funnel

1. Navigate to your integration dashboard
2. Click "Analytics" → "Funnels"
3. Click "Create Funnel"
4. Define your steps using events or page views

Funnel step syntax

Define funnel steps using the format: step_a > step_b > step_c

Example funnel steps:
homepage > signup_page > email_verification > dashboard

Or using custom events:
view_product > add_to_cart > checkout > purchase_complete

Cohort analysis groups users by their signup date (or first event) and tracks their behavior over time. This is essential for understanding retention and user lifecycle.

Retention cohorts

See how many users return to your app after their first visit:

Cohort granularity

• Daily — For high-traffic apps or short-term analysis
• Weekly — Standard retention view
• Monthly — Long-term retention patterns

Measure the impact of changes by comparing user behavior across variants. Sublyzer tracks exposure and conversion events to calculate statistical significance.

Setting up an A/B test

1. Define your experiment name and variants
2. Track exposure when users see a variant
3. Track conversion when the goal is achieved
4. Sublyzer calculates significance automatically

Tracking with the SDK

// Track when user is exposed to variant
Sublyzer.track('experiment_exposure', {
  experiment: 'checkout_redesign',
  variant: 'new_checkout'  // or 'control'
});

// Track conversion
Sublyzer.track('experiment_conversion', {
  experiment: 'checkout_redesign',
  variant: 'new_checkout'
});

Sublyzer automatically detects unusual patterns in your data and alerts you to potential issues:

• Error Spikes — Sudden increase in error rates
• Traffic Anomalies — Unusual drops or surges in traffic
• Performance Degradation — Slowdowns compared to baseline
• Conversion Drops — Significant decrease in funnel completion

Configure alerts for anomalies in the Alerts settings.

Use historical data to forecast future trends:

• Traffic Forecasting — Predict user volume
• Error Rate Prediction — Anticipate stability issues
• Revenue Forecasting — Project future revenue (PRO with Stripe)
• Resource Planning — Plan infrastructure needs

Predictions improve with more historical data. Best results after 30+ days of data.

Compare metrics between two time periods to measure impact of changes:

Compare: Last 7 days vs Previous 7 days

Metric          Period A    Period B    Change
───────────────────────────────────────────────
Page Views      45,230      42,100      +7.4%
Error Rate      0.8%        1.2%        -33.3%
Avg Load Time   2.1s        2.4s        -12.5%
Conversions     892         756         +18.0%

Use this to measure the impact of deployments, marketing campaigns, or seasonal changes.

Create reusable report templates with your preferred metrics and filters:

1. Configure your dashboard with desired widgets
2. Click "Save as Template"
3. Name your report (e.g., "Weekly Performance Review")
4. Schedule automatic delivery via Email or Discord (PRO)

Reports can be delivered daily, weekly, or monthly to keep stakeholders informed.

To power analytics features, track custom events throughout your application:

// Track a page view with context
Sublyzer.trackPageView({
  page: '/pricing',
  referrer: document.referrer,
  campaign: 'summer_sale'
});

// Track a custom event
Sublyzer.track('button_click', {
  button_id: 'cta_signup',
  page: '/homepage',
  variant: 'green_button'
});

// Track a conversion
Sublyzer.track('purchase', {
  order_id: '12345',
  amount: 99.99,
  currency: 'USD',
  items: ['product_a', 'product_b']
});