| Practical Google Analytics and Google Tag Manager for Developers |
| |
| |
| |
| |
| DATE: 2015-11-03 SIZE: 3,53MB DISKS: 01_______4,77MB PAGES: |
| |
| PUBLISHER: Apress GENRE: Computer Science |
| |
| AUTHOR: Jonathan Weber |
| |
| FORMAT: PDF PROTECTION: none EDITION: |
| |
| |
| |
| LANGUAGE: English ISBN: 978-1-484202-66-1 |
: :
: Whether you’re a marketer with development skills or a full-on web :
: developer/analyst, Practical Google Analytics and Google Tag Manager for :
: Developers shows you how to implement Google Analytics using Google Tag :
: Manager to jumpstart your web analytics measurement. :
: :
: There’s a reason that so many organizations use Google Analytics. Effective:
: collection of data with Google Analytics can reduce customer acquisition :
: costs, provide priceless feedback on new product initiatives, and offer :
: insights that will grow a customer or client base. So where does Google Tag:
: Manager fit in? :
: :
: Google Tag Manager allows for unprecedented collaboration between marketing:
: and technical teams, lightning fast updates to your site, and :
: standardization of the most common tags for on-site tracking and marketing :
: efforts. To achieve the rich data you're really after to better serve your :
: users’ needs, you'll need the tools Google Tag Manager provides for a :
: best-in-class implementation of Google Analytics measurement on your site. :
: :
: Written by data evangelist and Google Analytics expert Jonathan Weber and :
: the team at LunaMetrics, this book offers foundational knowledge, a :
: collection of practical Google Tag Manager recipes, well-tested best :
: practices, and troubleshooting tips to get your implementation in tip-top :
: condition. It covers topics including: :
: :
: • Google Analytics implementation via Google Tag Manager :
: :
: • How to customize Google Analytics for your unique situation :
: :
: • Using Google Tag Manager to track and analyze interactions across :
: multiple devices and touch points :
: :
: • How to extract data from Google Analytics and use Google BigQuery to :
: analyze Big Data questions :