Google Tag Manager Course

Introduction

This course is designed for

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New grads from Economics, Business and Statistics

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CRO Specialists, Data Analysts and Data Scientists

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Product Managers who work for web products

Data Creation. Data is the new currency and you coin it

For Data Analysts

Create raw data to answers any kind of questions about the product

For Data Scientists

Track you own data to improve the performance of your models

For CRO Specialists

Create data to map out the existing funnels and the reasons why the users drop off

For Product Managers

Drive your product decisions with data

Tool Integrations & Orchestration. Go deep to find out user needs and drives.

Product Analytics

Google Analytics, Mixpanel, Amplitude

Marketing

Google Ads, Facebook, Twitter, TikTok, LinkedIn

User Research

Hotjar, Posthog, Crazy gg

Custom Integrations

Use it for any script based tool

Google Tag Manager Features

Triggers

Decide when to launch the data

Variables

Capture dynamic values from your product.

Workspaces

Control versions feature for your GTM container

Handy Hands-on exercises.

Exercises based on the product type or business model you want to learn.

Weekly Quizzes.

Individual and collaborative quizzes to strengthen your knowledge and get rewards.

Experience the power of code. Final project.

Prove your knowledge with a real data scenario to answer product and business questions.

Edition I
Spanish

300€

12 seats • refund available

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8/09 - 10/09 - 18PM CEST to 20PM CEST

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15/09 - 17/09 - 18PM CEST to 20PM CEST

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22/09 - 24/09 - 18PM CEST to 20PM CEST

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29/09 - 1/10 - 18PM CEST to 20PM CEST

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06/10 - 08/10 - 18PM CEST to 20PM CEST

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Edition I
English

300€

12 seats • refund available

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20/10 - 22/10 - 18PM CEST to 20PM CEST

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27/10 - 29/10 - 18PM CEST to 20PM CEST

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03/11 - 05/11 - 18PM CEST to 20PM CEST

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10/11 - 12/11 - 18PM CEST to 20PM CEST

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17/11 - 19/11 - 18PM CEST to 20PM CEST

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Taught by

David Dias

Founding Data Analyst

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Curriculum

Module 0: Initiation & context

Introduction:
‍Understanding the significance and objectives of the course (Interactive Q&A session).
‍Data Creation Overview: Importance and strategic value of data creation moments.ç
‍Automated Data Clean-up: Mechanisms and advantages of automated data cleansing processes.
‍Google Tag Manager (GTM) Setup
Interface Overview:
Tags: What are tags, their role, and how they interact with data points.
‍Triggers: Identifying scenarios that trigger tags and practical use-cases.
Context: Understanding the critical role of context in enhancing data quality and interpretation.

Note: Each module is enhanced with practical, interactive exercises and targeted quizzes designed to ensure proficiency, encourage active participation, and reinforce a deep understanding of all concepts covered.

Module 1: Data Creation for GA, Amplitude, Mixpanel

Exercises (Quizzes - Day 1):
‍Hands-on exercises for Google Analytics (GA).
Hands-on exercises for Amplitude analytics platform.
Hands-on exercises for Mixpanel.

‍Exercises (Quizzes - Day 2):
‍Practical implementation of event creation triggered by Click interactions.
Practical implementation of event creation triggered by Link Click interactions.
Practical implementation of event creation triggered by Form Submission actions.
Practical implementation of event creation based on Conversion Rate (CR) analysis.

Module 2: Enrich Your Context

Introduction:
‍Exploring the fundamental reasons context significantly impacts data value.In-depth exploration of context related directly to the data itself.
Detailed analysis of context concerning user actions and the performers of those actions.
‍Dimensions:
‍Comprehensive overview and best practices for dimension management and creation.
Guidelines to leverage dimensions effectively in diverse analytical scenarios.
‍Exercises & Quizzes:
‍Interactive exercises designed for practical reinforcement.
Structured quizzes for assessing theoretical and practical understanding.

Module 3: Exercises for E-commerce

Step-by-step data creation processes for order lifecycle tracking.
Detailed data creation processes for comprehensive checkout monitoring.
Best practices for data creation on individual item detail pages.
Structured data creation techniques tailored for e-commerce search pages.

Module 4: Exercises for Marketing

Creation and management of data related to various marketing campaign activities.
Effective data creation practices for landing page analysis.
Comprehensive data tracking for orders derived directly from marketing initiatives.
Advanced techniques for creating data relevant to multiple attribution models.

Module 5: Exercises for Retention

Essential data creation strategies for analyzing the first-time visitor journey.
Data creation methodologies for measuring user recurrence and retention rates.
Identifying and tracking critical retention-centric events to inform strategic decisions.

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Data Visualization

Clear vision of your product

Experimentation

Learn from your users