Product Analytics

Product analytics built for product teams

Track user behavior, measure feature adoption, and make data-driven product decisions. Get insights into how users interact with your product without complex analytics setup.

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Event Tracking Built for Product Teams

Product Analytics gives product teams the insights they need to make data-driven decisions. Track user events, measure feature adoption, analyze conversion funnels, and understand user behavior—all without complex analytics infrastructure.

Instant Insights: Events are available immediately after tracking. Query user behavior, measure feature adoption, and analyze conversion funnels in real-time.

No Analytics Setup Required: Each analytics environment automatically creates a dataset optimized for event tracking. Start tracking events in minutes, not weeks.

Ask Questions in Plain English: Use AI agents to ask questions about your product data. Get insights without writing SQL or learning complex analytics tools.

Flexible Event Tracking: Track any user action with custom properties. Measure feature usage, conversion events, user journeys, and more.

Benefits

User Behavior Tracking

Track every user action—clicks, views, purchases, feature usage. Understand how users actually interact with your product.

Feature Adoption Metrics

Measure which features drive engagement and which ones users ignore. Make data-driven decisions about product priorities.

User Segmentation

Segment users by properties and behavior. Analyze how different user groups interact with your product.

Conversion Funnels

Track user journeys from signup to conversion. Identify drop-off points and optimize your product flow.

Real-Time Insights

Get insights immediately after events are tracked. No waiting for batch processing or daily reports.

AI-Powered Analysis

Ask questions in plain English. Get insights without writing SQL or learning complex analytics tools.

Getting Started

1

Create Analytics Environment

Set up your Product Analytics environment in seconds. Each environment automatically creates a dataset for storing events—no database setup required.

2

Start Tracking Events

Add event tracking to your application using our simple API or SDKs. Track user actions, feature usage, and conversion events.

3

Get Instant Insights

Events are available immediately after tracking. Query user behavior, measure feature adoption, and analyze conversion funnels in real-time.

4

Make Data-Driven Decisions

Use AI agents to ask questions about your product data, or write SQL queries for advanced analysis. Turn insights into product improvements.

Use Cases

Feature Adoption Analysis

Measure which features drive engagement and which ones users ignore. Make informed decisions about what to build next.

Conversion Funnel Optimization

Track user journeys from signup to conversion. Identify drop-off points and optimize your product flow to improve conversion rates.

User Behavior Insights

Understand how users actually use your product. Track clicks, views, purchases, and custom events to uncover user patterns.

Product Metrics Dashboard

Build custom dashboards for key product metrics. Track DAU, MAU, retention, and other KPIs that matter to your team.

How It Works

1Quick Setup

Create Environment: Set up a Product Analytics environment in seconds. Each environment automatically creates a dataset optimized for event tracking—no database configuration needed.

Multiple Environments: Create separate environments for production, staging, and development. Keep your data organized and test tracking before going live.

Automatic Schema: Events are stored with automatic schema detection. Just send events with properties, and we handle the rest.

2Track User Events

Simple API: Send events from your application using our REST API or SDKs. Track any user action with custom properties.

Event Example:

json
{
  "event": "feature_used",
  "properties": {
    "feature_name": "export_data",
    "user_plan": "pro",
    "export_format": "csv"
  }
}

SDKs Available: JavaScript, Python, and more. Works with web, mobile, and server-side applications.

3Analyze Product Data

Ask Questions: Use AI agents to ask questions in plain English:

  • "What are the most popular features this week?"
  • "Show me conversion rates by user plan"
  • "Which features have the highest drop-off rates?"

SQL Queries: For advanced analysis, write SQL queries:

sql
SELECT 
  feature_name,
  COUNT(*) as usage_count,
  COUNT(DISTINCT user_id) as unique_users
FROM events
WHERE event = 'feature_used'
GROUP BY feature_name
ORDER BY usage_count DESC

Visualizations: Create charts and dashboards to visualize your product metrics.

4User Segmentation

Track User Properties: Store user attributes like plan type, signup date, and custom properties alongside events.

Segment Analysis: Analyze how different user segments behave. Compare free vs. paid users, new vs. returning users, and more.

Cross-Session Insights: Properties persist across sessions, enabling analysis of user behavior over time.

Frequently Asked Questions

Start Making Data-Driven Product Decisions

Create your first Product Analytics environment in seconds. Track user behavior, measure feature adoption, and get insights without complex analytics setup.

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