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Merge pull request #6936 from segmentio/analytics-ios-updates
Update Analytics Libraries Titles [LIBRARIES-1506]
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src/connections/sources/catalog/libraries/mobile/android/index.md

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---
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title: 'Analytics for Android'
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title: 'Analytics-Android'
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strat: android
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repo: analytics-android
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support_type: maintenance
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id: wXNairW5xX
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---
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Analytics for Android makes it easier for you to send data to any tool without having to learn, test or implement a new API every time.
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Analytics-Android makes it easier for you to send data to any tool without having to learn, test or implement a new API every time.
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Analytics for Android only supports any Android device running API 14 (Android 4.0) and higher. This includes Amazon Fire devices.
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Analytics-Android only supports any Android device running API 14 (Android 4.0) and higher. This includes Amazon Fire devices.
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> info "Analytics-Kotlin"
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> The Analytics-Kotlin library is in General Availability. You can use Analytics-Kotlin for [mobile](/docs/connections/sources/catalog/libraries/mobile/kotlin-android/) or [server](/docs/connections/sources/catalog/libraries/server/kotlin) applications. If you'd like to upgrade to Analytics-Kotlin, see the [migration guide](/docs/connections/sources/catalog/libraries/mobile/kotlin-android/migration/). Segment's future development efforts concentrate on the new Analytics-Kotlin SDK, and will only ship security updates for the Analytics-Android SDK.

src/connections/sources/catalog/libraries/mobile/android/quickstart.md

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## What's Next?
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We just walked through the quickest way to get started with Segment using Analytics for Android. You might also want to check out our full [Analytics for Android reference](/docs/connections/sources/catalog/libraries/mobile/android) to see what else is possible, or read about the [Tracking API methods](/docs/connections/sources/catalog/libraries/server/http-api/) to get a sense for the bigger picture.
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We just walked through the quickest way to get started with Segment using Analytics-Android. You might also want to check out Segment's full [Analytics-Android reference](/docs/connections/sources/catalog/libraries/mobile/android) to see what else is possible, or read about the [Tracking API methods](/docs/connections/sources/catalog/libraries/server/http-api/) to get a sense for the bigger picture.

src/connections/sources/catalog/libraries/mobile/android/wear.md

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title: 'Analytics for Android Wear'
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title: 'Analytics-Android Wear'
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strat: android
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hidden: true
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---
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Analytics for Android Wear makes it simple to send your data to any tool without having to learn, test or implement a new API every time.
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Analytics-Android Wear makes it simple to send your data to any tool without having to learn, test, or implement a new API every time.
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All of Segment's client libraries are open-source, so you can [view Analytics for Android on GitHub](https://github.com/segmentio/analytics-android), or check out our [browser and server-side libraries](/docs/connections/sources/catalog/) too.
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All of Segment's client libraries are open-source, so you can [view Analytics-Android on GitHub](https://github.com/segmentio/analytics-android), or check out our [browser and server-side libraries](/docs/connections/sources/catalog/) too.
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## Getting Started
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To get started with Analytics for Android Wear check out our [quickstart guide](/docs/connections/sources/catalog/libraries/mobile/android/quickstart/) which will help you install analytics tracking in your mobile app in just a few minutes. Once you've installed the SDK, read on for setting it up the wear part of your App. Note that you can only use the Android SDK v2 or later with wear, and that any Beta APIs below are subject to change.
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To get started with Analytics-Android Wear check out our [quickstart guide](/docs/connections/sources/catalog/libraries/mobile/android/quickstart/) which will help you install analytics tracking in your mobile app in just a few minutes. Once you've installed the SDK, read on for setting it up the wear part of your App. Note that you can only use the Android SDK v2 or later with wear, and that any Beta APIs below are subject to change.
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## Adding the Wear dependency
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src/connections/sources/catalog/libraries/mobile/apple/implementation.md

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title: Analytics for Swift Implementation Guide
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title: Analytics-Swift Implementation Guide
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strat: swift
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tags:
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- apple

src/connections/sources/catalog/libraries/mobile/apple/index.md

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## Tools and extensions
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Analytics for Swift is built with extensibility in mind. Use the tools list below to improve data collection.
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Analytics-Swift is built with extensibility in mind. Use the tools list below to improve data collection.
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- [Plugin architecture](/docs/connections/sources/catalog/libraries/mobile/swift/swift-plugin-architecture)
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- [Typewriter](/docs/connections/sources/catalog/libraries/mobile/swift/swift-typewriter)

src/connections/sources/catalog/libraries/mobile/apple/swift-destination-filters.md

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title: Analytics for Swift Destination Filters
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title: Analytics-Swift Destination Filters
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---
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> info ""

src/connections/sources/catalog/libraries/mobile/apple/swift-plugin-architecture.md

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title: Analytics for Swift Plugin Architecture
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title: Analytics-Swift Plugin Architecture
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---
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src/connections/sources/catalog/libraries/mobile/apple/swift-samples.md

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title: Analytics for Swift Code Samples
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title: Analytics-Swift Code Samples
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strat: swift
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---
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src/connections/sources/catalog/libraries/mobile/apple/swift-typewriter.md

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title: Analytics for Swift Typewriter
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title: Analytics-Swift Typewriter
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---
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[Typewriter](https://github.com/segmentio/typewriter) is a tool for generating strongly-typed Segment analytics libraries based on your pre-defined [Tracking Plan](/docs/protocols/tracking-plan) spec.

src/connections/sources/catalog/libraries/mobile/ios/index.md

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title: Analytics for iOS
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title: Analytics-iOS
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repo: analytics-ios
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With Analytics for iOS, you can send your data to analytics or marketing tool, without needing to learn, test, or implement a new API with each update or addition.
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With Analytics-iOS, you can send your data to analytics or marketing tool, without needing to learn, test, or implement a new API with each update or addition.
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<br />
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<br />
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<br />
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### Install the SDK
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The recommended way to install Analytics for iOS is using [Cocoapods](http://cocoapods.org/), since it means you can create a build with specific destinations, and because it makes it simple to install and upgrade.
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The recommended way to install Analytics-iOS is using [CocoaPods](http://cocoapods.org/){:target="_blank"}, since it means you can create a build with specific destinations, and because it makes it simple to install and upgrade.
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First, add the `Analytics` dependency to your `Podfile`, like so:
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</tr>
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</table>
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Analytics for iOS works on its own background thread, so it will never block the main thread for the UI or the calling thread.
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Analytics-iOS works on its own background thread, so it will never block the main thread for the UI or the calling thread.
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Calling `- identify:` with a `userId` will write that ID to disk to be used in subsequent calls. That ID can be removed either by uninstalling the app or by calling [`reset`](#reset).
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src/connections/sources/catalog/libraries/mobile/ios/quickstart.md

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## Step 2: Install the SDK
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Segment recommends you install Analytics for iOS by using either [Cocoapods](http://cocoapods.org/) or your Swift Package Manager. These allow you to create a build with specific bundled destinations, and they have a simplified installation and upgrading process.
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Segment recommends you install Analytics-iOS by using either [CocoaPods](http://cocoapods.org/){:target="_blank"} or your Swift Package Manager. These allow you to create a build with specific bundled destinations, and they have a simplified installation and upgrading process.
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### Install the SDK using Swift Package Manager
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## What's Next?
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We just walked through the quickest way to get started with Segment using Analytics for iOS. You might also want to check out our full [Analytics for iOS reference](/docs/connections/sources/catalog/libraries/mobile/ios) to see what else is possible, or read about the [Tracking API methods](/docs/connections/sources/catalog/libraries/server/http-api/) to get a sense for the bigger picture.
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We just walked through the quickest way to get started with Segment using Analytics-iOS. You might also want to check out our full [Analytics-iOS reference](/docs/connections/sources/catalog/libraries/mobile/ios) to see what else is possible, or read about the [Tracking API methods](/docs/connections/sources/catalog/libraries/server/http-api/) to get a sense for the bigger picture.

src/connections/sources/catalog/libraries/mobile/kotlin-android/implementation.md

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title: Analytics for Kotlin Implementation Guide
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title: Analytics-Kotlin Implementation Guide
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src/connections/sources/catalog/libraries/mobile/kotlin-android/index.md

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title: 'Analytics for Kotlin (Android)'
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title: 'Analytics-Kotlin (Android)'
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## Tools and extensions
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Analytics-Kotlin is built with extensibility in mind. Use the tools list below to improve data collection.
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- [Plugin architecture](https://segment.com/docs/connections/sources/catalog/libraries/mobile/kotlin-android/destination-plugins/)
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- [Typewriter](/docs/connections/sources/catalog/libraries/mobile/kotlin-android/kotlin-android-typewriter)

src/connections/sources/catalog/libraries/mobile/kotlin-android/kotlin-android-destination-filters.md

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title: Analytics for Kotlin Destination Filters
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title: Analytics-Kotlin Destination Filters
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src/connections/sources/catalog/libraries/mobile/kotlin-android/kotlin-android-faq.md

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title: Analytics for Kotlin FAQ
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title: Analytics-Kotlin FAQ
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src/connections/sources/catalog/libraries/mobile/kotlin-android/kotlin-android-plugin-architecture.md

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title: Analytics for Kotlin Plugin Architecture
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title: Analytics-Kotlin Plugin Architecture
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src/connections/sources/catalog/libraries/mobile/kotlin-android/kotlin-android-samples.md

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title: Analytics for Kotlin Code Samples
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title: Analytics-Kotlin Code Samples
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src/connections/sources/catalog/libraries/mobile/kotlin-android/kotlin-android-typewriter.md

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title: Analytics for Kotlin Typewriter
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title: Analytics-Kotlin Typewriter
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[Typewriter](https://github.com/segmentio/typewriter) is a tool for generating strongly-typed Segment analytics libraries based on your pre-defined [Tracking Plan](/docs/protocols/tracking-plan) spec.

src/connections/sources/catalog/libraries/mobile/kotlin-android/migration.md

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title: Analytics-Kotlin Migration Guide
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> To preserve the userId for users identified prior to your migration to Kotlin, you must make a one-off Identify call. This is due to a storage format change between the Analytics-Android and Analytics-Kotlin libraries.
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src/connections/sources/catalog/libraries/server/kotlin/index.md

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src/connections/sources/catalog/libraries/website/javascript/custom-proxy.md

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> If you are using a [Regional Workspace](/docs/guides/regional-segment/#client-side-sources), please note that instead of using `api.segment.io` to proxy the Tracking API, you'll be using `events.eu1.segmentapis.com`
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> Segment only has the ability to enable the proxy setting for the Web (Analytics.js) source. Details for mobile source proxies are in the [Analytics-iOS](/docs/connections/sources/catalog/libraries/mobile/ios/#proxy-https-calls) and [Analytics-Android](/docs/connections/sources/catalog/libraries/mobile/android/#proxying-http-calls) documentation. It is not currently possible to set up a proxy for server sources using the Segment UI.
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src/engage/campaigns/mobile-push/index.md

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src/getting-started/02-simple-install.md

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To install Analytics-iOS, Segment recommends you to use [CocoaPods](http://cocoapods.org){:target="_blank"}, because it allows you to create a build with specific bundled destinations, and because it makes it simple to install and upgrade.
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