Marketing Analytics Bootcamp

Marketing Analytics Bootcamp

21 July I 28 July I 4 Aug I 11 Aug 

9 am - 12 pm (GMT+8)

Our Marketing Analytics Bootcamp is a 12-hour accelerated programme to sharpen your data analytics skills. You will leave the Bootcamp with a solid understanding of how to set objectives and KPIs, track and measure, report and analyse your data.

Bootcamp Schedule

Week 1 X 3 hours: 21 JULY, 9 am - 12 pm (GMT+8)

Week 2 X 3 hours: 28 JULY, 9 am - 12 pm (GMT+8)

Week 3 X 3 hours: 4 AUG, 9 am - 12 pm (GMT+8)

Week 4 X 3 hours: 11 AUG, 9 am - 12 pm (GMT+8)

Online course

Online Format

12 hours instructor-led training

Divided into 4 sessions, 

3 hours each

Course competency

Competency Level




Receive a certificate of completion

Course fee

Course Fee

SGD 700 per pax

Group Discount

10% off for 3 pax or more

Bundle Deal

10% off when you sign up for 3 courses!

Questions? Drop us a note!

Sotirios Seridis
Sotirios Seridis
Founder, XYZ Lab

Experienced performance marketing professional and digital marketing trainer with over 10 years of multi-national experience working with leading media agencies and corporations on performance marketing, digital analytics, and marketing automation.

Digital marketing experience:

  • 10 years in digital marketing x digital strategy x digital analytics

  • Built x2 performance marketing departments from the ground-up

  • Worked with agencies like Mediacom, Wavemaker, Essence, PHD, HAVAS

  • Worked with Unilever, Volkswagen, Etihad Airways, Google and various Fortune 500 companies

  • Hands-on and best-in-class at paid search, paid social, digital analytics, SEO, e-commerce

  • Vertical expertise: Education, travel, hospitality, online marketplaces, automotive, financial services, real estate, e-commerce retail, FMCG retail, entertainment, food & beverage

Trainer experience:

  • Former Business Education Trainer at Facebook (via Rubicor)

  • Trained over 20 company and agency teams in Google Ads, SEO, analytics and paid social

  • Trained over 100 career changers in digital marketing, enabling them to secure a role in tech

  • Up-skilled over 500 individuals in digital marketing and analytics across SEA

Bootcamp Agenda
Week 1: 21 July, 9 am - 12 pm (GMT+8)
Digital Measurement and Analytics

Learning Outcomes:

  • Understand how to set business objectives and KPIs

  • Learn the fundamentals of Google Analytics

  • Learn how to measure brand objectives

  • Understand E-Commerce analytics and measurement

  • Understand B2B analytics and measurement

  • Understand Facebook advertising measurement

  • Understand Google Ads measurement

  • Acquire A/B testing fundamentals

Session 1: Business Objectives and KPIs

Understand how to set up business objectives and KPIs. Learn the fundamentals of Google Analytics. Find out how to measure brand objectives.

  • Objectives laddering [framework]

  • OKRs (Objectives and Key Results)

  • Google Analytics fundamentals

  • Brand measurement

  • Activity: Objectives laddering [framework]

Session 2: E-Commerce Analytics and Measurement

Understand how to track and measure E-Commerce performance.

  • E-Commerce business metrics

  • Calculate E-Commerce profitability

  • Identify your ideal CPA and margin

  • Learn how to calculate CTLV

  • Optimise your E-Commerce conversion rate

  • Case study: Live walkthrough on E-Commerce analytics

Session 3: B2B Analytics and Measurement

Understand how to track and measure B2B performance.

  • B2B business metrics

  • Identify your ideal CPA and CVR

  • Optimise your B2B marketing funnel

Session 4: Understand Facebook and Google Advertising Measurement

Learn all about Facebook and Google Ads campaign measurement and analytics.

  • Facebook metrics that matter

  • Facebook brand and conversion lift studies

  • How to optimise your Facebook campaigns

  • Audience Reports

  • Google Ads metrics that matter

  • How to optimise your Google Ads campaigns

Session 5: A/B Testing and Advanced Measurement Tactics

Understand A/B testing fundamentals

  • A / B testing methodology

  • A / B testing tools

  • Statistical significance

Week 2: 28 July, 9 am - 12 pm (GMT+8)
Google Analytics 4

Learning Outcomes:

  • How to set-up Google Analytics for success

  • How to develop a measurement plan for your business

  • How to set-up Goals and Events tracking

  • Where and how to identify insights that matter

  • How to work with data effectively

  • How to get started with attribution modelling

  • How to get started with reporting automation

Session 1: Measurement Strategy

Understand how to measure what matters and set-up Google Analytics for success.

  • Develop a measurement strategy

  • Set up Google Analytics for success

  • Set-up Goals and Goal Funnels

  • Set-up Events tracking

  • How to set up UTM Tracking codes

  • Case studies: Walkthrough for B2C and B2B business

  • Case studies: How UTM Tracking codes made us more effective in Email Marketing

  • ​Activity: Brainstorm measurement plan

  • Activity: Brainstorm goals and events

  • Activity: Set-up UTM tracking codes

​Session 2: Reports that Matter

Understand where and how to look to identify insights that matter.

  • Reports that matter [Walkthrough]

  • Identify Paid Media Insights

  • Identify SEO Insights

  • Identify Referral Insights

  • Analyse website performance

  • Case study: How to review website performance [Walkthrough]

  • Activity: Analyse website performance

​Session 3: Attribution Modelling and Reporting Automation

Get started with attribution modelling and reporting automation.

  • Understand attribution modelling

  • Understand where and how to identify attribution insights

  • Learn how to automate reporting via Google Data Studio

  • ​Case studies: Review attribution modelling insights from a real website

  • ​Activity: Attribution modelling exercise

  • Activity: Google Data Studio Exercise

  • Activity: Review real Data Studio dashboards

Week 3: 4 Aug, 9 am - 12 pm (GMT+8)
Data Storytelling & Reporting

Learning Outcomes:

  • Learn how to work with data

  • Learn how to get started with data storytelling

  • Learn how to develop captivating data stories

  • Understand reporting best practices

  • Develop your first data story (hands-on exercise)

Session 1 : Data Storytelling Fundamentals

Learn how to work with data and immerse in data storytelling best practices

  • Understand what makes a great data story

  • Understand how to work with data

  • Understand data storytelling best practices

  • Group activity: Data cleaning and preparation

Session 2: Data Storytelling & Reporting Best Practices

​Learn how to make reports that stand out and how to deliver captivating data storytelling presentations

  • Conceptualise your data story

  • Data visualisation best practices

  • Reporting and presentation best practices

  • Group activity: Conceptualise your data story and visualise your data

Session 3: Reporting Automation Best Practices

Walkthrough 3 different ways to automate reporting via Excel, Google Sheets or Google Data Studio

  • Learn how to minimize reporting workload via:
    1. Excel
    2. Google Sheets
    3. Google Data Studio

  • Group activity: Develop an automated report on either Google Sheets or Google Data Studio

Week 4: 11 Aug, 9 am - 12 pm (GMT+8)
Google Data Studio

Learning Outcomes

  • Learn how to get started with Google Data Studio

  • Learn how to develop a Google Analytics report from scratch via GDS

  • Learn how to automate reporting, apply filters, and format your data charts

  • Learn how to create custom metrics and blend data sources

  • Gain hands-on Google Data Studio experience

Session 1: Get Started with Google Data Studio

Learn how to get started with GDS, familiarise yourself with the tool’s interface and data visualisations.

  • Set up a Google Data Studio Report

  • Format your report and familiarise yourself with GDS navigation

  • Understand how to use scorecards and combo charts

  • Understand how to format data visualisations

  • Group activity: Develop a Google Data Studio report for Google Analytics [Guided practice]

Session 2: Understand Data Selectors, Data Comparisons, Filters and Custom Metrics

  • Learn how to use data comparisons

  • Learn how to automate reporting via data selectors

  • Learn how to use filters and custom metrics

  • Group activity: Learn how to deploy data comparisons, data selectors and filters [Guided practice]

Session 3: Deploy Multi-Data Source, Client Facing Dashboard Reports

  • Learn how to deploy reports with multiple data sources

  • Learn how to blend data sources

  • Learn how to present your data effectively

  • Group activity: Deploy multi-data source, client-facing dashboard reports [Guided practice]

Interested to Run This Bootcamp In-House?