@types/segment-analytics
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TypeScript definitions for segment-analytics
@types/segment-analytics provides TypeScript definitions for the Segment Analytics.js library, which is used for tracking user interactions and sending data to various analytics services.
Identify a User
The identify method is used to associate a user with their unique ID and traits. This helps in tracking user-specific data.
analytics.identify('userId123', { name: 'John Doe', email: 'john.doe@example.com' });Track an Event
The track method is used to record any actions users perform, along with properties that describe the action.
analytics.track('Button Clicked', { buttonName: 'Sign Up' });Page Tracking
The page method is used to record page views on your website, along with properties that describe the page.
analytics.page('Home Page', { title: 'Welcome Home' });Group Tracking
The group method is used to associate an individual user with a group, such as a company or organization.
analytics.group('groupId123', { name: 'Company XYZ', industry: 'Technology' });Alias a User
The alias method is used to merge two user identities, effectively linking an anonymous user with an identified user.
analytics.alias('newUserId123');@types/mixpanel provides TypeScript definitions for the Mixpanel library. Like @types/segment-analytics, it is used for tracking user interactions and sending data to Mixpanel's analytics service.
@types/amplitude-js provides TypeScript definitions for the Amplitude JavaScript SDK. It is used for tracking user events and behaviors, similar to @types/segment-analytics, but specifically for Amplitude's analytics platform.
npm install --save @types/segment-analytics
This package contains type definitions for segment-analytics (https://segment.com/docs/libraries/analytics.js/).
Files were exported from https://github.com/DefinitelyTyped/DefinitelyTyped/tree/master/types/segment-analytics.
These definitions were written by Andrew Fong, and Miroslav Petrik.
FAQs
TypeScript definitions for segment-analytics
We found that @types/segment-analytics demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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