Google Analytics Settings Variable in GTM and Q&A
This course covers the new Google Analytics Setting Variable in GTM, AnonymizeIP, Tracking Screen Size, GA Goals and Auto-Event Tracking, Google Tag Manager and Site Speed, GA Enhanced Ecommerce Tracking and Event Tracking, Labeling a Funnel in GA EE Tracking, Issues with the Facebook Pixel and Google Analytics, the dataLayer and Auto-Event Triggers, Alternative to Content Groupings in Google Analytics, GA Implementations for Wordpress - Plugins vs. GTM, AdWords GCLID through Google Tag Manager, and LunaMetrics Scroll Tracking. It also includes a Q&A session. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
- New Google Analytics Setting Variable in GTM
- What is AnonymizeIP?
- Tracking Screen Size in Google Analytics?
- GA Goals and Auto-Event Tracking
- Google Tag Manager and Site Speed
- GA Enhanced Ecommerce Tracking and Event Tracking
- Labeling a Funnel in GA EE Tracking
- Issues with the Facebook Pixel and Google Analytics
- the dataLayer and Auto-Event Triggers
- Alternative to Content Groupings in Google Analytics
- GA Implementations for Wordpress - Plugins vs. GTM
- Is it possible to break down the EE Product performance report into Demographics and Interest.
- New Google Analytics Settings Variable - Should we update?
- AdWords GCLID through Google Tag Manager
- LunaMetrics Scroll Tracking
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
Google Analytics Settings Variable in GTM and Q&A is an online course that teaches learners how to use Google Analytics Settings Variable in Google Tag Manager (GTM) and answer questions related to digital marketing. This course covers topics such as AnonymizeIP, tracking screen size in Google Analytics, GA goals and auto-event tracking, Google Tag Manager and site speed, GA enhanced ecommerce tracking and event tracking, labeling a funnel in GA EE tracking, issues with the Facebook Pixel and Google Analytics, the dataLayer and auto-event triggers, alternative to content groupings in Google Analytics, GA implementations for WordPress - plugins vs. GTM, breaking down the EE product performance report into demographics and interest, new Google Analytics settings variable - should we update, AdWords GCLID through Google Tag Manager, and LunaMetrics scroll tracking. This course is ideal for those who want to learn more about Google Analytics, GTM, and digital marketing. It is also suitable for those who want to gain a better understanding of SEO and how to use Google Analytics to track website performance. With this course, learners will gain the knowledge and skills to use Google Analytics Settings Variable in GTM and answer questions related to digital marketing.
[Applications]
Those who have completed this course can apply their knowledge to their own websites and digital marketing campaigns. They can use the Google Analytics Settings Variable in GTM to track user behavior, set up goals and auto-event tracking, and use the dataLayer and auto-event triggers to track user interactions. They can also use the Google Tag Manager to track AdWords GCLID and use LunaMetrics Scroll Tracking to track user scrolling. Additionally, they can use the Google Analytics Enhanced Ecommerce Tracking and Event Tracking to label a funnel and break down the EE Product performance report into Demographics and Interest.
[Career Paths]
1. Digital Marketing Analyst: Digital marketing analysts are responsible for analyzing data from digital marketing campaigns and providing insights to help improve the performance of campaigns. They use data from Google Analytics, Google Ads, and other digital marketing tools to identify trends and opportunities for improvement. They also develop strategies to optimize campaigns and track their success.
2. SEO Specialist: SEO specialists are responsible for optimizing websites for search engine rankings. They use a variety of techniques, such as keyword research, link building, and content optimization, to improve a website's visibility in search engine results. They also monitor and analyze website performance to identify areas for improvement.
3. Web Developer: Web developers are responsible for creating and maintaining websites. They use HTML, CSS, JavaScript, and other web technologies to create websites that are visually appealing and easy to use. They also use Google Analytics and other tools to track website performance and identify areas for improvement.
4. Data Scientist: Data scientists are responsible for analyzing large amounts of data to identify patterns and trends. They use machine learning, statistical analysis, and other techniques to uncover insights from data. They also use Google Analytics and other tools to track website performance and identify areas for improvement.
[Education Paths]
1. Bachelor of Science in Analytics: This degree program focuses on the application of data analytics to solve business problems. It covers topics such as data mining, machine learning, predictive analytics, and data visualization. Students learn to use various software tools and techniques to analyze data and develop insights. This degree is becoming increasingly popular as businesses are recognizing the value of data-driven decision making.
2. Master of Science in Business Analytics: This degree program focuses on the application of analytics to business operations. It covers topics such as data mining, predictive analytics, and data visualization. Students learn to use various software tools and techniques to analyze data and develop insights. This degree is becoming increasingly popular as businesses are recognizing the value of data-driven decision making.
3. Master of Science in Data Science: This degree program focuses on the application of data science to solve complex problems. It covers topics such as data mining, machine learning, predictive analytics, and data visualization. Students learn to use various software tools and techniques to analyze data and develop insights. This degree is becoming increasingly popular as businesses are recognizing the value of data-driven decision making.
4. Doctor of Philosophy in Data Science: This degree program focuses on the application of data science to solve complex problems. It covers topics such as data mining, machine learning, predictive analytics, and data visualization. Students learn to use various software tools and techniques to analyze data and develop insights. This degree is becoming increasingly popular as businesses are recognizing the value of data-driven decision making.
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