Segment

Community tag by slide-rule-tech

What is Segment?

Make Segment api calls from Google Tag Manager.

Segment tag is created by slide-rule-tech. Once you set up server side tagging with MetricsGate, you can use this tag with Google Tag Manager to enhance your data analytics.

This tag template is part of an open-source community, with its source code accessible on Github, and its documentation can also be found online.

You can check its version history below:

  1. Initial release or the template.

More tags and variables supported

Tags

  • HTTP Request tag by snowplow
  • Piano Analytics - Tagging tag by at-internet
  • Localize TMS Integration tag by Localize
  • Ascend by Partnerize tag by pepperjam
  • Contentsquare - Main tag tag by contentsquare-ps
  • TrafficGuard Conversion Tracker Tag tag by trafficguard-hq
  • Along Information Commenting Platform tag by get-along-io
  • Redfast Active User Personalization tag by redfast
  • Squadata eMail SMS Retargeting tag by lmugnier
  • YouTube iframe API loader tag by gtm-templates-simo-ahava

    • Variables

  • GA4 ecommerce to UA EEC variable by AntonBies
  • Apps Referrer to GA variable by luratic
  • Advanced Lookup Table variable by stape-io
  • Array Builder variable by stape-io
  • Reprise Digital - X-Gtm-Server-Preview variable by hoitingmarthijn
  • AT Internet Settings by 55 variable by at-internet
  • Partnerize Item String variable by webmasterjunkie
  • Schema.org Structured Data variable by dustinrecko
  • Universal Conversions Variable variable by stape-io
  • GA4 Items to Facebook Object Converter variable by matteo-zambon-gtm

    • Join early adopters globally and leverage server-side tagging, GA4 custom events, and cookieless tracking to gain deeper insights and enhanced analytics data about your visitors!

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    MetricsGate provides an advanced analytics solution designed to prevent the loss of crucial data and simplify compliance with privacy regulations. By implementing our server-side tagging system, customers can enhance the accuracy of their analytics data by 10-25%, ensuring more reliable insights for informed decision-making.​

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