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Michael Trusov and Liye Ma

Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business.

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Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business.

This valuable data may include in-store and online customer transactions, customer surveys, web analytics, as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results. Artificial intelligence and machine learning will be explored as tools to deepen analytical skills and acumen and hone decision making.

This comprehensive exploration into digital marketing analytics tools and techniques is critical knowledge for any marketing influencers, digital marketing analysts and product and brand decision makers within small and medium businesses as well as larger organizations with international reach.

This course is part of Maryland Smith’s Digital Marketing Professional Certificate. For more information, see here.

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What's inside

Learning objectives

  • 2.1 seo and sem - kpis and keyword strategies
  • 2.2 web analytics - a/b testing
  • 2.3 recommendation systems
  • 2.4 machine learning/ai applications/big data
  • 2.5 text and image analysis
  • 2.6 attribution/mmm

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Emphasizes practical applications from diverse industries, providing industry-specific insights
Covers data-driven decision-making, a highly sought-after skill in the marketing industry
Incorporates advanced concepts like machine learning and AI to enhance analytical skills
Taught by experts Michael Trusov and Liye Ma, recognized for their contributions to marketing analytics
Suitable for learners at various levels, from beginners seeking a foundation to experienced professionals seeking to advance their skills
Part of Maryland Smith's Digital Marketing Professional Certificate, providing a comprehensive learning path

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Digital Marketing Analytics: Tools and Techniques with these activities:
Review digital marketing principles
Review core principles of digital marketing to establish a strong foundation for the course.
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Learn Google Analytics Platform for Beginners
Build proficiency in using Google Analytics to track and analyze website performance.
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Show steps
  • Sign up for a Google Analytics account
  • Install Google Analytics tracking code on your website
  • Explore the Google Analytics dashboard and reports
Conduct keyword research exercises
Develop skills in identifying relevant keywords for search engine optimization (SEO).
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  • Use keyword research tools to generate a list of potential keywords
  • Analyze keyword competition and search volume
  • Select a set of keywords to target for your website or campaign
Four other activities
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Show all seven activities
Join a digital marketing study group or forum
Connect with other learners and professionals to share knowledge and insights on digital marketing.
Show steps
  • Find a relevant study group or forum
  • Introduce yourself and share your interests
  • Participate in discussions and contribute your knowledge
Attend a digital marketing conference or workshop
Expand your network and learn from industry experts at digital marketing events.
Show steps
  • Identify and register for relevant conferences or workshops
  • Prepare to engage with speakers and attendees
  • Follow up with connections made at the event
Develop a digital marketing plan for a small business
Apply course concepts to create a comprehensive digital marketing plan for a specific business.
Browse courses on Digital Marketing Plan
Show steps
  • Define the target audience and business objectives
  • Conduct a competitive analysis and market research
  • Develop a content marketing strategy
  • Create a paid advertising campaign
  • Implement social media marketing
  • Track and measure results
Contribute to an open-source digital marketing tool or project
Gain hands-on experience and make meaningful contributions to the digital marketing community.
Show steps
  • Identify an open-source project that aligns with your interests
  • Review the project's documentation and codebase
  • Make a meaningful contribution to the project

Career center

Learners who complete Digital Marketing Analytics: Tools and Techniques will develop knowledge and skills that may be useful to these careers:
Marketing Analyst
Marketing Analysts use data to analyze the effectiveness of marketing campaigns and make recommendations for improvements. They also help to develop and implement marketing strategies.
Digital Marketing Manager
Digital Marketing Managers plan and execute digital marketing campaigns that promote a company's products or services. They use data to track the success of these campaigns and make adjustments as needed. This course will help you develop the skills you need to become a successful Digital Marketing Manager, including how to use data to make informed decisions.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market.
Data Analyst
Data Analysts use data to solve business problems. They can work in a variety of industries, including marketing, finance, and healthcare.
Brand Manager
Brand Managers are responsible for developing and managing a company's brand. They work to create a consistent brand experience across all channels.
Pay-Per-Click (PPC) Specialist
PPC Specialists help businesses create and manage PPC campaigns. They use data to track the success of these campaigns and make adjustments as needed.
Social Media Manager
Social Media Managers are responsible for developing and executing social media campaigns. They use data to track the success of these campaigns and make adjustments as needed.
Content Marketing Manager
Content Marketing Managers are responsible for developing and executing content marketing campaigns. They use data to track the success of these campaigns and make adjustments as needed.
Search Engine Optimization (SEO) Specialist
SEO Specialists help businesses improve their visibility in search engine results. They use a variety of techniques to optimize websites and content for search engines.
Email Marketing Manager
Email Marketing Managers are responsible for developing and executing email marketing campaigns. They use data to track the success of these campaigns and make adjustments as needed.
Management Consultant
Management Consultants help businesses improve their performance. They can work in a variety of industries, including marketing, finance, and healthcare.
Web Analyst
Web Analysts use data to analyze the performance of websites. They can work in a variety of industries, including marketing, finance, and healthcare.
Business Analyst
Business Analysts use data to help businesses make better decisions. They can work in a variety of industries, including marketing, finance, and healthcare.
Software Engineer
Software Engineers design, develop, and maintain software applications. They can work in a variety of industries, including marketing, finance, and healthcare.
Data Scientist
Data Scientists use data to build models and solve business problems. They can work in a variety of industries, including marketing, finance, and healthcare.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Digital Marketing Analytics: Tools and Techniques.
Practical guide to web analytics. It covers the basics of web analytics, such as how to track website traffic and measure website performance. It valuable resource for students and professionals who want to learn more about web analytics.
Provides an introduction to data mining and its applications in business intelligence. It covers topics such as data mining techniques, data mining tools, and data mining applications. It valuable resource for students and professionals who want to learn more about data mining.
Provides an introduction to machine learning and its applications in business. It covers topics such as machine learning algorithms, machine learning tools, and machine learning applications. It valuable resource for students and professionals who want to learn more about machine learning.
Provides an introduction to big data and its applications in business. It covers topics such as big data technologies, big data analytics, and big data case studies. It valuable resource for students and professionals who want to learn more about big data.
Provides a practical approach to digital marketing. It covers topics such as digital marketing strategies, digital marketing channels, and digital marketing measurement. It valuable resource for students and professionals who want to learn more about digital marketing.
Provides a practical approach to social media marketing. It covers topics such as social media marketing strategies, social media marketing tools, and social media marketing measurement. It valuable resource for students and professionals who want to learn more about social media marketing.
Provides a practical approach to content marketing. It covers topics such as content marketing strategies, content marketing tools, and content marketing measurement. It valuable resource for students and professionals who want to learn more about content marketing.
Provides a practical approach to e-commerce marketing. It covers topics such as e-commerce marketing strategies, e-commerce marketing tools, and e-commerce marketing measurement. It valuable resource for students and professionals who want to learn more about e-commerce marketing.
Provides a practical approach to marketing communications. It covers topics such as marketing communications strategies, marketing communications tools, and marketing communications measurement. It valuable resource for students and professionals who want to learn more about marketing communications.

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