Marketing Analytics Bootcamp

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)

Benefits Of Attending

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.

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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

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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.

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• Objectives laddering [framework]

• OKRs (Objectives and Key Results)

• Google Analytics fundamentals

• Brand measurement

• Activity: Objectives laddering [framework]

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Session 2: E-Commerce Analytics and Measurement

Understand how to track and measure E-Commerce performance.

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• 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.

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• B2B business metrics

• Identify your ideal CPA and CVR

• Optimise your B2B marketing funnel

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Session 4: Understand Facebook and Google Advertising Measurement

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

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• 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​

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Session 5: A/B Testing and Advanced Measurement Tactics

Understand A/B testing fundamentals

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• 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:

• Get started and configure GA4

• Set up and configure GA4 Events, Conversions and Audiences

• Set up and configure UTM Tags for GA4

• Learn how to use comparisons and filtering

• Learn how to analyse data in GA4

• Learn how to use Funnel Analysis and Segment Overlap reports

• Learn how to develop website reports

Session 1: Google Analytics 4 Configuration

• GA4 Metrics, Dimensions, Events and Conversions

• Set up GA4 Events and Conversions via GA4

• Set up GA4 Audiences

• UTM Tags configuration

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​Session 2: Google Analytics 4 Data Analysis

• Learn how to use Comparisons and Filters

• GA4 Reporting use cases

• Funnel Analysis set-up and use cases

• Segment Overlap set-up and use cases

• GA4 website demo

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

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• Understand what makes a great data story

• Understand how to work with data

• Understand data storytelling best practices

• Group activity: Data cleaning and preparation​​

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Session 2: Data Storytelling & Reporting Best Practices

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

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• Conceptualise your data story

• Data visualisation best practices

• Reporting and presentation best practices

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

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Session 3: Reporting Automation Best Practices

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

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• 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.

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• 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]

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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]

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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?