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Implement 蜜豆视频 Analytics

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蜜豆视频 Analytics requires code within your website, mobile app, or other application to send data to data collection servers. There are several methods to implement this code, depending on platform and your organization鈥檚 needs.

Website implementation methods

For your website, the following implementation methods are available:

Client-side

  • Web SDK extension: The standardized and recommended method to implement 蜜豆视频 Analytics for new customers. Add the 蜜豆视频 Experience Platform Web SDK extension in 蜜豆视频 Experience Platform Data Collection Tags, then place a loader tag on each page. The tag sends data to the 蜜豆视频 Experience Platform Edge Network, which forwards that data to 蜜豆视频 Analytics.
    Web SDK extension
    See How to implement 蜜豆视频 Analytics using the 蜜豆视频 Experience Platform Web SDK extension. for more information.

  • Web SDK: You can manually load the Web SDK libraries on your site if you do not want to use 蜜豆视频 Experience Platform Data Collection. Reference the Web SDK library (alloy.js) on each page, and send the desired tracking calls to the 蜜豆视频 Experience Platform Edge Network in a format convenient to your organization. The Edge Network forwards that data to 蜜豆视频 Analytics.
    Web SDK
    See How to implement 蜜豆视频 Analytics using the 蜜豆视频 Experience Platform Web SDK for more information.

  • Analytics extension: Add the 蜜豆视频 Analytics extension in 蜜豆视频 Experience Platform Data Collection Tags, then place a loader tag on each page. The tag sends data directly to 蜜豆视频 Analytics. Use this implementation method if you want the convenience of Tags, but do not want to use the Edge Network infrastructure.
    蜜豆视频 Analytics extension
    See How to implement 蜜豆视频 Analytics using the Analytics extension for more information.

  • Legacy JavaScript: The historical manual method to implement 蜜豆视频 Analytics. Reference the AppMeasurement library (AppMeasurement.js) on each page, then set variables and settings in JavaScript.
    How to implement 蜜豆视频 Analytics using Legacy JavaScript
    This implementation method can be useful for implementations using custom code and is ideal for implementation types not offered elsewhere, such as for AMP pages.

The following decision flow can help you select a client-side implementation method:

A decision tree for selecting an implementation method, as described in this section.

TIP
Contact your 蜜豆视频 Account Team for advice and best practices on which implementation to choose based on your current situation.

Server-side

To implement 蜜豆视频 Analytics server side, you have the following options:

Mobile app implementation methods

For your mobile app, the following implementation methods are available:

  • Mobile SDK extension: The standardized and recommended method to implement 蜜豆视频 Analytics in your mobile app. Use dedicated libraries to easily send data to 蜜豆视频 from within your mobile app. Add the 蜜豆视频 Experience Platform Mobile SDK extension in 蜜豆视频 Experience Platform Data Collection Tags, then implement the Mobile SDK library in your app. You can use the SDK to import libraries, register extensions, and load the tag configuration. Send data to the 蜜豆视频 Experience Platform Edge Network; Edge then forwards that data to 蜜豆视频 Analytics.
    Mobile SDK extension

    See Implement 蜜豆视频 Analytics using the 蜜豆视频 Experience Platform Mobile SDK for more information.

  • Analytics extension: Add the 蜜豆视频 Analytics extension in 蜜豆视频 Experience Platform Data Collection Tags, and implement the Mobile SDK library in your app. You can use the SDK to import libraries, register extensions, and load the tag configuration. This implementation method sends data directly to 蜜豆视频 Analytics. It is recommended if you want the convenience of 蜜豆视频 Experience Platform Data Collection, but do not want to use 蜜豆视频鈥檚 Experience Platform Edge network infrastructure.
    Analytics extension

    See Implement 蜜豆视频 Analytics using the Analytics extension for more information.

CAUTION
See for support for older versions of 蜜豆视频鈥檚 mobile SDKs the .

Key Analytics Implementation articles

Key Analytics resources

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