Marketing Analytics Courses

2-Day courses from SG$249 only

SG$249 (NTUC Union Members) | SG$299 (Non-NTUC Union Members)
Special promo pricing until 31 December 2020 | Original course fee from SG$1,500

All courses are UTAP claimable

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If you have any questions, contact us at TeamSG@clickacademyasia.com or +65 9154 0209.

Google Analytics Certification

How will you benefit?

  • Learn how to configure Google Analytics to track website visitors
  • Understand the metrics behind web analytics
  • Gain insights from traffic sources, visitor and content data
  • Set up goals and e-commerce tracking
  • Measure visitors’ engagement
  • Use analytics to improve advertising & marketing ROI
  • Become prepared for the Google Analytics Individual Qualification (GAIQ) exam

Day 1 Outline

  • The Measurement Plan: Google's guide to using Analytics
  • How Google Analytics Works: Set up your own tracking code
  • Realtime Reports: Reports for testing your Google Analytics
  • Behavior Reports: Measure what your visitors did on your site
  • Acquisition Reports: Discover where your visitors came from
  • Audience Reports: Gather information about your visitors
  • Conversion Reports: Measuring completed transactions or other business-related goals

Day 2 Outline

  • Configuring Goals: Setting up Google Analytics to record goals and ecommerce transactions
  • Segments: Improving marketing performance by dividing up your audience into meaningful groups
  • Custom Reports: Focusing your analytics on the dimensions and metrics which matter most
  • Campaigns: Setting up cross-channel reporting on Google Analytics
  • Google Ads: Integrating Google Ads with Google Analytics
  • Remarketing: Leveraging audience data on Google Analytics within Google Ads
  • GAIQ Exam Overview

Google Analytics for Ecommerce

How will you benefit?

  • Learn how to configure the Ecommerce module in Google Analytics
  • Understand the dimensions & metrics used for ecommerce reporting
  • Become familiar with the suite of Ecommerce reports in Google Analytics
  • Become proficient at building your own Ecommerce reports & visualisations
  • Construct an Ecommerce dashboard or summary report suitable for management review

Day 1 Outline

  • Introduction to Ecommerce Analytics: Definition and Dimensions & Metrics
  • Overview of Google Analytics Ecommerce: How the module works, configuring your site, and Ecommerce vs. Enhanced Ecommerce
  • Google Analytics Ecommerce in Practice: How Conversions work, tracking Conversions (Transaction), and data available
  • Ecommerce Behavior Reports: How Google tracks Shopping & Checkout behaviour
  • Ecommerce Performance Reports: How Google tracks Product, Sales & Product List performance

Day 2 Outline

  • Ecommerce Marketing Reports: Defining 'Marketing', tagging Promotions, tracking Coupons, and Affiliates & other partner attributions
  • Building Custom Ecommerce Reports: Understanding scope, identifying Dimensions, and adding Metrics
  • Visualisations for Google Analytics Ecommerce: Options, exporting to Excel, and intro to Google Data Studio
  • Google Analytics Ecommerce Dashboards & Summary Reports: Combining visualisations & charts, creating a data story, and presenting ecommerce data to management

Google Analytics for Power Users Certification

How will you benefit?

  • Master the full capabilities of Google Analytics to improve business results
  • Learn how to build reports and visualisations for 1, 2 & 3 dimensions
  • Use customer segmentation to improve site performance
  • Build reports to improve marketing intervention timing
  • Gain exposure to the statistical models used for accurate reporting & predictive analytics

DAY 1

  • Web Analytics Overview: How Google Analytics collects & processes data, other tools & techniques for data collection & cleaning, and an overview of web data sources for business research & analysis
  • A Review of the AABCs of Google Analytics: 3 types of data analysis, the data analytics process, and step-by-step Segment analytics
  • Building Reports: Single & two dimension reports & visualisations, and options for reporting data in 3 dimensions

DAY 2

  • Customer Segments: Reasons for segmentation, setting up, building a hypotheses based on segment analysis, and custom channel grouping
  • Timing Marketing Interventions: How to time your marketing, building custom reports for timing analysis, creating pivot tables in Excel, and adding conditional formatting for additional analysis
  • Measuring Results: How sure you can be of your results, methods for estimating values, calculating confidence intervals, and reporting figures accurately

Google Data Studio Certification

How will you benefit?

  • Learn how to configure Google Data Studio to visualise your data
  • Open an account and link it to external data sources
  • Become familiar with the Data Studio dashboard and link various elements to improve user experience
  • Understand how to choose the appropriate charting element for your data
  • Build bespoke & optimised dashboards for several different stakeholders

DAY 1

  • Getting started: Creating a Google Data Studio (GDS) account & logging in, adjusting themes for existing dashboards, and changing dimensions & metrics for existing reports
  • Introduction to GDS: What GDS is, how it compares to other analytics tools, and use cases
  • Data Visualisations Overview: Continuous vs. Categorical data, creating a data table, and 6 kinds of data visualisations in GDS
  • Data Needs Analysis: Stakeholders, systems & scenarios, dimensions, metrics, KPIs & targets, and satisfying needs with reports & visualisations
  • Exercise: Build a Google Data Studio report

DAY 2

  • Digital Advertising Manager: How Google Ads works, and data & reports useful for this role
  • Website Analyst: How Google Analytics works, website visitor dimensions & metrics, and reports useful for this role
  • Online Merchandise Manager: Ecommerce data in Google Analytics, product-oriented dimensions & metrics, and reports useful for this role

Proving Digital Marketing ROI

How will you benefit?

  • Understand the importance of performance metrics & return-on-investment (ROI) to a business
  • Learn how to measure digital marketing performance and calculate ROI
  • Use Excel to load, tranform & prepare data for analysis
  • Discover the key metrics to highlight when reporting performance
  • Deliver digital marketing performance & ROI results to management with confidence

DAY 1

  • The Principles of Performance Metrics & ROI: Why they matter, key metrics for measuring digital marketing performance, and challenges marketers face when calculating ROI
  • Measurement Tools: Digital marketing platforms, sourcing performance data, and channels, segments & views
  • Calculating Performance Metrics: Web, social media, email & search analytics, ensuring data integrity across channels, and performance calculations
  • Performance Reports: Key metrics, visualising performance data, and organising performance reports

DAY 2

  • Calculating Marketing ROI: Tactical & strategic marketing ROI calculations, and Customer Lifetime Value (CLV) vs. ROI
  • Organising Marketing ROI Reports: KPI frameworks, Return on Ad Spend (ROAS), and Retention vs. Acquisition ROI
  • Making Your Marketing ROI Case: Marketing dashboards, executive-level & managerial reporting, and the ongoing ROI process
  • Standardising ROI in the Organisation: Testing new ROI strategies, and next steps for implementing ROI

Mastering Data & Analytics for Marketing

How will you benefit?

  • Discover the use of Kaggle & Jupyter notebooks for digital marketing data analysis
  • Learn to import & transform data and produce beautiful data visualisations using R
  • Understand how to conduct statistical tests and make data-driven predictions in R
  • Advocate for professional-grade data analytics to empower decision-making within your organisation

DAY 1

  • Introduction to Analytics: Definition, analyst job role, and questions analysts can answer
  • Analytics Tools: Intro to Kaggle, R & Juptyer notebooks, and looking at the data
  • Basic Reporting: Counting categories, multiple data dimension reporting, and analysing categorical data
  • Advanced Reporting: Defining 'mean', analysing continuous data by category, and time series analysis

DAY 2

  • Data Visualisations: Why visualisations, and visualising time series & categorical variables
  • Estimating Values: Margin of error/confidence intervals, and estimating values with histograms & t-tests
  • Predictive Analytics: Time series with trendlines, scatterplot with regression line, and Loess interpolations