Digital Optimization with Expert Analytics and Strategy

About This Course

Programme code: P201103IIC

INTRODUCTION

Welcome to Laures Solutions’s Digital Analytics & Optimization [Google Analytics Certification] GAIQ course! Today, digital analytics are driving better decision-making for organizations of all sizes, including startups, small businesses, and enterprises. In turn, knowing how to leverage big data is key to staying competitive, forging better strategies, and achieving organizational growth.

Our course is designed to explore the principles and applications behind ROI-driven digital analytics. As a result, we empower decision-makers and specialists alike to optimize their business intelligence practices, build stronger client and customer relationships, and drive greater sales.

The tools and techniques encompassed within our course are designed to provide holistic insight that can be applied to virtually any quantifiable aspect of your business. Although the course adequately prepares students to pass the Google Analytics Individual Qualification (GAIQ), the lessons are directly attributable to other major business intelligence and analytics platforms, such as Adobe Analytics, Alteryx, Baidu Analytics, ComScore, Hubspot CRM, MyMetrix, and more.

Whether to facilitate impactful marketing campaigns, accurate cost-benefit analyses, effective core business workflows, or beyond, the approaches, concepts, diagnostics, and terminologies contained within the course are designed with tangible results in mind.

The course contains 4 modules with 15 total sessions that contain a blend of practical assignments, content discussions, demonstrations, live sessions, Q&A, and more. Upon completion, students will earn a certificate of completion from Laures Solutions and have the opportunity to earn their GAIQ. As with any of our digital courses, your undivided attention and participation are key to achieve the best results possible.

We look forward to seeing you in the course.

COURSE OBJECTVES

Understand the concepts behind business intelligence, data analytics, key performance indicators (KPIs), performance metrics, and beyond.
Navigate data analytics platforms such as Google Analytics and Adobe Analytics, understanding how to achieve specific results and reports using various functionalities.
Know how to leverage different data analytics tools and metrics throughout both B2B and B2C applications.
Manipulate data sets while running experimental tests to determine the viability, usefulness, and applicability of your results.
Determine the proper courses of action, strategies, and techniques to transform data sets into actionable and applicable intelligence.
Gain an in-depth understanding of key terminologies, such as APIs, conversions funnel, KBRs, KPIs, sampling, tag governance, and more.
Execute your marketing plan using key insight from behavioral and sentiment analyses, hypnoses tests, optimization experiments, and more.

LEARNING OUTCOME

Session 1: Web Analytics Introduction

Why Google analytics and Adobe Analytics?
How Google Analytics and Adobe Analytics works?
Getting started with Tracking Code
How Google Analytics Works?

Session 2: Google Analytics Interface

The Interface & Help Resources
Getting the Helicopter View
Understanding Common Metrics & Real-Time Reports
How to set up dashboards and shortcuts
Individual Exercises
- Exercise Details: Setting up a property in GA and review metrics and reports required by businesses.

Session 3: Audience, Acquisition, and Behavior Principles

Analytics Audience Reports
Traffic Sources Reports: Social & Referral
Campaign Tracking Processes
Content Analytics Reports
Help Resources and Offerings

Note: Online real-time setup & testing (15min) to view the complete platform

Session 4: Goal Setting, Conversion Tracking, and Campaigning

How to set Goals?
Use Goals to measure business objectives
Admin Goals & Standardization
Conversion Goals & Reporting

Note: Real-time URL Builder Testing & Campaign Channel Run through (10min)

Session 5: Data Collection and Processing

Google Analytics data collection
Categorizing into users and sessions
Applying configuration settings
Storing data and generating reports
Creating a measurement plan

Session 6: Data Collection Setup and Configuration

Organizing Analytics account
Profiles – Advanced filters on views
Create Custom Dimensions and Metrics
More useful configurations

Note: Custom Dimension & Metrics run-through with Event creation (15 min)

Session 7: Advanced Analysis Tools and Techniques

Segment data for insight
Analyze traffic by channel
Analyze traffic by audience
Analyze data with Custom Reports

Session 8: Data Visualizations and Presentations

Data Visualization
Better Dashboarding and Email schedule
Dashboard Customization
Schedule Emails
User Creation
Case Study

Note: Real-Time Case Study based on Organization Setup and Data review (15min)

Session 9: API Collection and Management

Range of APIs and Options
Understanding API Function
Google Analytics Cookies
How Data Collection Works?

Q&A Session: 15 Mins

Session 10: Technical Interface and Google Tag Management

Tracking Page Visit
Custom Variables
Start with a measurement plan
Develop a tag implementation strategy
Case Study

Note: Real-Time Development Plan & Exercise based on Goal Setting, Variables and Rule Mapping (30min)

Session 11: Collecting data and handling some Case Studies

Review events with variables
Case Studies and Reporting
Individual Exercises

Note: Testing setup on Dev and Prod environment with various layers of Analytics requirements (20min)

Session 12: Social Media Measurement and Reporting

Social Media Impact on Business Goals
Strategy Building Guide, Ethics & Challenges
Social Tools and Key Performance Indicators
Influencer Marketing and Online Reputation Management
Storytelling and Content Creation

Session 13: Conversions and Onboarding

Conversions Funnel
Experimentation and Testing
Conversion Scenarios and Building Hypothesis
Conversion Heuristic
Case Studies (B2B & B2C)

Note: Real-Time Case Study Exercise to build case around web analytics data and performance, build hypothesis testing and run parallel CRO efforts (15min)

Session 14: Final Presentation and Case Studies

Capstone work, final discussions and assignments (1 Hr.)
Case Studies and Online Examination (1 Hr.)

Note: Generalized Case Study and exercise to touch-base on overall study modules. Also, analyze various real-time activities based on digital data and web footprints.

Full course fee $1500 (no GST)
For Classes Starting before 3 Oct 2022
Fees after funding:
$150 – above 40 years old – 90% Subsidy
$450 – below 40 years old – 70% Subsidy

SFEC Funding for WSQ courses
Eligible Singapore-registered companies can tap on $10,000 SkillsFuture Enterprise Credit (SFEC) to cover up to 90%.
SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to offset the remaining fees after funding.
UTAP Funding
NTUC members can use UTAP 50% to offset the remaining fees after funding (capped at $500 per year).

Funding Support
IBF Standards Training Scheme (IBF-STS)
This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met.
Find out more on www.ibf.org.sg.

Target Audience

Adult learners who have an interest in mastering web analytics skills and looking to optimize the online presence of their business.
No prior knowledge of Web Analytics or the Google Analytics platform is required to attend this course.