# Docs

## angular

- [Activation Analysis](/docs/angular/concepts/insight_trackers/analysis_types/activation): Measure what percentage of new users reach the first value moment.
- [Analysis Jobs](/docs/angular/concepts/jobs): Jobs execute Insight Trackers to collect event data, analyze patterns, and generate insights. Learn about manual and automatic execution, job states, monitoring, and best practices.
- [Analysis Types](/docs/angular/concepts/insight_trackers/analysis_types): Reference documentation for all v0Beta Insight Tracker analysis types.
- [Angular Configuration](/docs/angular/configuration): Configure Journium Angular SDK with provideJournium(), JourniumModule, and underlying JavaScript SDK options.
- [Angular Quick Start](/docs/angular): This tutorial demonstrates how to integrate Journium with your Angular application.
- [Angular Services](/docs/angular/services): Overview of Angular services provided by the Journium Angular SDK.
- [Anomaly Detection](/docs/angular/concepts/insight_trackers/analysis_types/anomaly): Automated spike and dip detection vs. a statistical baseline.
- [Applications](/docs/angular/concepts/application): Applications in Journium are containers for event tracking configuration, insight trackers, and app insights. Create and manage Development and Production instances.
- [Churn Risk Analysis](/docs/angular/concepts/insight_trackers/analysis_types/churn): Identify users who were active but have gone silent.
- [Cohort Analysis](/docs/angular/concepts/insight_trackers/analysis_types/cohort): Compare a metric across user cohorts defined by join date or property value.
- [Conversion Rate](/docs/angular/concepts/insight_trackers/analysis_types/conversion): Simple numerator / denominator rate — percentage of group A that does B.
- [Creating Insight Trackers](/docs/angular/concepts/insight_trackers/creating_trackers): Learn how to create Insight Trackers in Journium. You can use a UI based wizard, or create them manually using the tracker specification YAML.
- [Custom Analysis](/docs/angular/concepts/insight_trackers/analysis_types/custom): Pass raw matching events to the LLM for freeform analysis.
- [Events](/docs/angular/concepts/events): Events are single pieces of telemetry data that drive analytics and insights. Understand how to send custom events and configure auto-captured events.
- [Feature Adoption](/docs/angular/concepts/insight_trackers/analysis_types/feature_adoption): What fraction of active users have tried a specific feature.
- [Funnel Analysis](/docs/angular/concepts/insight_trackers/analysis_types/funnel): Track ordered step completion and identify where users drop off.
- [How Journium Works](/docs/angular/how-journium-works): Discover how Journium transforms application events into AI-powered insights. Learn about event collection, tracker configuration, job execution, and insight generation.
- [Insight Trackers](/docs/angular/concepts/insight_trackers): Insight Trackers use AI-driven analytics to automatically transform raw event data into actionable insights. Configure trackers in the dashboard to continuously monitor your application and surface meaningful patterns.
- [Insights](/docs/angular/concepts/insights): Insights are AI-generated, natural-language analyses of your application's event data, produced by Insight Trackers on a schedule or on demand.
- [JourniumService](/docs/angular/services/journium-service): Angular service for tracking events, identifying users, and managing pageviews with the Journium SDK.
- [MCP Server](/docs/angular/tools/mcp-server): Connect AI agents to Journium docs via Model Context Protocol. Search, retrieve pages, and get real-time answers directly in your IDE.
- [Retention Analysis](/docs/angular/concepts/insight_trackers/analysis_types/retention): Cohort return-rate curves over time — D1, D7, D30, and beyond.
- [Tracker Repositories](/docs/angular/concepts/insight_trackers/tracker_repositories): Learn about Journium Tracker Repositories — how to version-control and manage your insight tracker specifications.
- [Tracker Specification](/docs/angular/concepts/insight_trackers/tracker_specification): Learn about the Journium Insight Tracker specification. Irrespective of how a tracker is created or maintained, it is always stored as a YAML file.
- [Trend / Growth](/docs/angular/concepts/insight_trackers/analysis_types/trend): Count events or unique users per time period — daily, weekly, monthly.
- [VS Code Extension](/docs/angular/tools/vscode-extension): Real-time validation, auto-completion, and IntelliSense for Journium tracker files. Works with VS Code, Cursor, and compatible editors.
- [What is Journium](/docs/angular/what-is-journium): Journium transforms analytics from passive dashboards to proactive insights. An AI-driven system that detects meaningful changes and explains what happened in plain language.

## concepts

- [Activation Analysis](/docs/concepts/insight_trackers/analysis_types/activation): Measure what percentage of new users reach the first value moment.
- [Analysis Jobs](/docs/concepts/jobs): Jobs execute Insight Trackers to collect event data, analyze patterns, and generate insights. Learn about manual and automatic execution, job states, monitoring, and best practices.
- [Analysis Types](/docs/concepts/insight_trackers/analysis_types): Reference documentation for all v0Beta Insight Tracker analysis types.
- [Anomaly Detection](/docs/concepts/insight_trackers/analysis_types/anomaly): Automated spike and dip detection vs. a statistical baseline.
- [Applications](/docs/concepts/application): Applications in Journium are containers for event tracking configuration, insight trackers, and app insights. Create and manage Development and Production instances.
- [Churn Risk Analysis](/docs/concepts/insight_trackers/analysis_types/churn): Identify users who were active but have gone silent.
- [Cohort Analysis](/docs/concepts/insight_trackers/analysis_types/cohort): Compare a metric across user cohorts defined by join date or property value.
- [Concepts](/docs/concepts): Key terminology and concepts in Journium
- [Conversion Rate](/docs/concepts/insight_trackers/analysis_types/conversion): Simple numerator / denominator rate — percentage of group A that does B.
- [Creating Insight Trackers](/docs/concepts/insight_trackers/creating_trackers): Learn how to create Insight Trackers in Journium. You can use a UI based wizard, or create them manually using the tracker specification YAML.
- [Custom Analysis](/docs/concepts/insight_trackers/analysis_types/custom): Pass raw matching events to the LLM for freeform analysis.
- [Events](/docs/concepts/events): Events are single pieces of telemetry data that drive analytics and insights. Understand how to send custom events and configure auto-captured events.
- [Feature Adoption](/docs/concepts/insight_trackers/analysis_types/feature_adoption): What fraction of active users have tried a specific feature.
- [Funnel Analysis](/docs/concepts/insight_trackers/analysis_types/funnel): Track ordered step completion and identify where users drop off.
- [Insight Trackers](/docs/concepts/insight_trackers): Insight Trackers use AI-driven analytics to automatically transform raw event data into actionable insights. Configure trackers in the dashboard to continuously monitor your application and surface meaningful patterns.
- [Insights](/docs/concepts/insights): Insights are AI-generated, natural-language analyses of your application's event data, produced by Insight Trackers on a schedule or on demand.
- [Retention Analysis](/docs/concepts/insight_trackers/analysis_types/retention): Cohort return-rate curves over time — D1, D7, D30, and beyond.
- [Tracker Repositories](/docs/concepts/insight_trackers/tracker_repositories): Learn how to version control your trackers in a Git repository. It is recommended to use a Git repository to store your trackers. You can connect a repository to your application instance to deploy and manage your trackers.
- [Tracker Specification](/docs/concepts/insight_trackers/tracker_specification): Learn about the Journium Insight Tracker specification. Irrespective of how a tracker is created or maintained, it is always stored as a YAML file.
- [Trend / Growth](/docs/concepts/insight_trackers/analysis_types/trend): Count events or unique users per time period — daily, weekly, monthly.

## configuration

- [Next.js Configuration](/docs/configuration): Configure Journium Next.js SDK with Provider component, automatic route tracking, and underlying JavaScript SDK options.

## docs

- [Journium Docs](/docs): Add tracking to your application and get insights from your data in minutes.

## hooks

- [Hooks Reference](/docs/hooks): Overview of the Next.js hooks
- [useIdentify()](/docs/hooks/use-identify): Use the useIdentify() hook to identify users when they log in or sign up.
- [useReset()](/docs/hooks/use-reset): Use the useReset() hook to reset user identity when they log out or when you want to clear the user's identity.
- [useTrackEvent()](/docs/hooks/use-track-event): Use the useTrackEvent() hook to track an event

## how-journium-works

- [How Journium Works](/docs/how-journium-works): Discover how Journium transforms application events into AI-powered insights. Learn about event collection, tracker configuration, job execution, and insight generation.

## js

- [Activation Analysis](/docs/js/concepts/insight_trackers/analysis_types/activation): Measure what percentage of new users reach the first value moment.
- [Analysis Jobs](/docs/js/concepts/jobs): Jobs execute Insight Trackers to collect event data, analyze patterns, and generate insights. Learn about manual and automatic execution, job states, monitoring, and best practices.
- [Analysis Types](/docs/js/concepts/insight_trackers/analysis_types): Reference documentation for all v0Beta Insight Tracker analysis types.
- [Anomaly Detection](/docs/js/concepts/insight_trackers/analysis_types/anomaly): Automated spike and dip detection vs. a statistical baseline.
- [API Methods](/docs/js/api-methods): Complete API reference for Journium JavaScript SDK - all methods, parameters, return types, and usage examples for event tracking and analytics.
- [Applications](/docs/js/concepts/application): Applications in Journium are containers for event tracking configuration, insight trackers, and app insights. Create and manage Development and Production instances.
- [CDN / Script Tag Usage](/docs/js/cdn-usage): Learn how to use Journium with script tags for static HTML websites, landing pages, and no-build environments. Simple copy-paste integration.
- [Churn Risk Analysis](/docs/js/concepts/insight_trackers/analysis_types/churn): Identify users who were active but have gone silent.
- [Cohort Analysis](/docs/js/concepts/insight_trackers/analysis_types/cohort): Compare a metric across user cohorts defined by join date or property value.
- [Concepts](/docs/js/concepts): Key terminology and concepts in Journium
- [Configuration Options](/docs/js/configuration): Complete guide to configuring Journium JavaScript SDK - learn about all available options for event capture, performance, and behavior customization.
- [Conversion Rate](/docs/js/concepts/insight_trackers/analysis_types/conversion): Simple numerator / denominator rate — percentage of group A that does B.
- [Creating Insight Trackers](/docs/js/concepts/insight_trackers/creating_trackers): Learn how to create Insight Trackers in Journium. You can use a UI based wizard, or create them manually using the tracker specification YAML.
- [Custom Analysis](/docs/js/concepts/insight_trackers/analysis_types/custom): Pass raw matching events to the LLM for freeform analysis.
- [Events](/docs/js/concepts/events): Events are single pieces of telemetry data that drive analytics and insights. Understand how to send custom events and configure auto-captured events.
- [Feature Adoption](/docs/js/concepts/insight_trackers/analysis_types/feature_adoption): What fraction of active users have tried a specific feature.
- [Funnel Analysis](/docs/js/concepts/insight_trackers/analysis_types/funnel): Track ordered step completion and identify where users drop off.
- [How Journium Works](/docs/js/how-journium-works): Discover how Journium transforms application events into AI-powered insights. Learn about event collection, tracker configuration, job execution, and insight generation.
- [Insight Trackers](/docs/js/concepts/insight_trackers): Insight Trackers use AI-driven analytics to automatically transform raw event data into actionable insights. Configure trackers in the dashboard to continuously monitor your application and surface meaningful patterns.
- [Insights](/docs/js/concepts/insights): Insights are AI-generated, natural-language analyses of your application's event data, produced by Insight Trackers on a schedule or on demand.
- [JavaScript Quick Start](/docs/js): This tutorial demonstrates how to integrate Journium with your JavaScript application.
- [MCP Server](/docs/js/tools/mcp-server): Connect AI agents to Journium docs via Model Context Protocol. Search, retrieve pages, and get real-time answers directly in your IDE.
- [Retention Analysis](/docs/js/concepts/insight_trackers/analysis_types/retention): Cohort return-rate curves over time — D1, D7, D30, and beyond.
- [Shopify Integration](/docs/js/shopify-integration): Complete guide to integrate Journium analytics with your Shopify store. Track product views, cart events, purchases, and customer behavior on Shopify without coding.
- [Tools](/docs/js/tools): Tools to integrate Journium into your application and get the most out of it
- [Tracker Repositories](/docs/js/concepts/insight_trackers/tracker_repositories): Learn how to version control your trackers in a Git repository. It is recommended to use a Git repository to store your trackers. You can connect a repository to your application instance to deploy and manage your trackers.
- [Tracker Specification](/docs/js/concepts/insight_trackers/tracker_specification): Learn about the Journium Insight Tracker specification. Irrespective of how a tracker is created or maintained, it is always stored as a YAML file.
- [Trend / Growth](/docs/js/concepts/insight_trackers/analysis_types/trend): Count events or unique users per time period — daily, weekly, monthly.
- [TypeScript Types](/docs/js/typescript-types): Complete TypeScript type definitions for Journium JavaScript SDK - interfaces, types, and type safety for analytics integration.
- [VS Code Extension](/docs/js/tools/vscode-extension): Real-time validation, auto-completion, and IntelliSense for Journium tracker files. Works with VS Code, Cursor, and compatible editors.
- [What is Journium](/docs/js/what-is-journium): Journium transforms analytics from passive dashboards to proactive insights. An AI-driven system that detects meaningful changes and explains what happened in plain language.
- [WordPress Integration](/docs/js/wordpress-integration): Complete guide to integrate Journium analytics with your WordPress site. Track page views, user behavior, blog engagement, and conversions on WordPress without plugins.

## quick-start

- [Next.js Quick Start](/docs/quick-start): This tutorial demonstrates how to integrate Journium with your Next.js application.

## react

- [Activation Analysis](/docs/react/concepts/insight_trackers/analysis_types/activation): Measure what percentage of new users reach the first value moment.
- [Analysis Jobs](/docs/react/concepts/jobs): Jobs execute Insight Trackers to collect event data, analyze patterns, and generate insights. Learn about manual and automatic execution, job states, monitoring, and best practices.
- [Analysis Types](/docs/react/concepts/insight_trackers/analysis_types): Reference documentation for all v0Beta Insight Tracker analysis types.
- [Anomaly Detection](/docs/react/concepts/insight_trackers/analysis_types/anomaly): Automated spike and dip detection vs. a statistical baseline.
- [Applications](/docs/react/concepts/application): Applications in Journium are containers for event tracking configuration, insight trackers, and app insights. Create and manage Development and Production instances.
- [Churn Risk Analysis](/docs/react/concepts/insight_trackers/analysis_types/churn): Identify users who were active but have gone silent.
- [Cohort Analysis](/docs/react/concepts/insight_trackers/analysis_types/cohort): Compare a metric across user cohorts defined by join date or property value.
- [Concepts](/docs/react/concepts): Key terminology and concepts in Journium
- [Conversion Rate](/docs/react/concepts/insight_trackers/analysis_types/conversion): Simple numerator / denominator rate — percentage of group A that does B.
- [Creating Insight Trackers](/docs/react/concepts/insight_trackers/creating_trackers): Learn how to create Insight Trackers in Journium. You can use a UI based wizard, or create them manually using the tracker specification YAML.
- [Custom Analysis](/docs/react/concepts/insight_trackers/analysis_types/custom): Pass raw matching events to the LLM for freeform analysis.
- [Events](/docs/react/concepts/events): Events are single pieces of telemetry data that drive analytics and insights. Understand how to send custom events and configure auto-captured events.
- [Feature Adoption](/docs/react/concepts/insight_trackers/analysis_types/feature_adoption): What fraction of active users have tried a specific feature.
- [Funnel Analysis](/docs/react/concepts/insight_trackers/analysis_types/funnel): Track ordered step completion and identify where users drop off.
- [Hooks Reference](/docs/react/hooks): Overview of the React hooks
- [How Journium Works](/docs/react/how-journium-works): Discover how Journium transforms application events into AI-powered insights. Learn about event collection, tracker configuration, job execution, and insight generation.
- [Insight Trackers](/docs/react/concepts/insight_trackers): Insight Trackers use AI-driven analytics to automatically transform raw event data into actionable insights. Configure trackers in the dashboard to continuously monitor your application and surface meaningful patterns.
- [Insights](/docs/react/concepts/insights): Insights are AI-generated, natural-language analyses of your application's event data, produced by Insight Trackers on a schedule or on demand.
- [MCP Server](/docs/react/tools/mcp-server): Connect AI agents to Journium docs via Model Context Protocol. Search, retrieve pages, and get real-time answers directly in your IDE.
- [React Configuration](/docs/react/configuration): Configure Journium React SDK with Provider component, hooks, and underlying JavaScript SDK options.
- [React Quick Start](/docs/react): This tutorial demonstrates how to integrate Journium with your React application.
- [Retention Analysis](/docs/react/concepts/insight_trackers/analysis_types/retention): Cohort return-rate curves over time — D1, D7, D30, and beyond.
- [Tools](/docs/react/tools): Tools to integrate Journium into your application and get the most out of it
- [Tracker Repositories](/docs/react/concepts/insight_trackers/tracker_repositories): Learn how to version control your trackers in a Git repository. It is recommended to use a Git repository to store your trackers. You can connect a repository to your application instance to deploy and manage your trackers.
- [Tracker Specification](/docs/react/concepts/insight_trackers/tracker_specification): Learn about the Journium Insight Tracker specification. Irrespective of how a tracker is created or maintained, it is always stored as a YAML file.
- [Trend / Growth](/docs/react/concepts/insight_trackers/analysis_types/trend): Count events or unique users per time period — daily, weekly, monthly.
- [useIdentify()](/docs/react/hooks/use-identify): Use the useIdentify() hook to identify users when they log in or sign up.
- [useReset()](/docs/react/hooks/use-reset): Use the useReset() hook to reset user identity when they log out or when you want to clear the user's identity.
- [useTrackEvent()](/docs/react/hooks/use-track-event): Use the useTrackEvent() hook to track an event
- [VS Code Extension](/docs/react/tools/vscode-extension): Real-time validation, auto-completion, and IntelliSense for Journium tracker files. Works with VS Code, Cursor, and compatible editors.
- [What is Journium](/docs/react/what-is-journium): Journium transforms analytics from passive dashboards to proactive insights. An AI-driven system that detects meaningful changes and explains what happened in plain language.

## tools

- [MCP Server](/docs/tools/mcp-server): Connect AI agents to Journium docs via Model Context Protocol. Search, retrieve pages, and get real-time answers directly in your IDE.
- [Tools](/docs/tools): Tools to integrate Journium into your application and get the most out of it
- [VS Code Extension](/docs/tools/vscode-extension): Real-time validation, auto-completion, and IntelliSense for Journium tracker files. Works with VS Code, Cursor, and compatible editors.

## what-is-journium

- [What is Journium](/docs/what-is-journium): Journium transforms analytics from passive dashboards to proactive insights. An AI-driven system that detects meaningful changes and explains what happened in plain language.