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David Tanaskovic,
SuperDataScience Team,
and
Ligency Team
Marketing is getting faster paced by the minute and it can be really hard to keep up as well as analyse whats right and whats wrong with your marketing. That's where my course comes in. My course is designed to give everyone that is interested in marketing the tools to analyse campaigns and use metrics to make correct decisions improving your campaign success.
Read more
Marketing is getting faster paced by the minute and it can be really hard to keep up as well as analyse whats right and whats wrong with your marketing. That's where my course comes in. My course is designed to give everyone that is interested in marketing the tools to analyse campaigns and use metrics to make correct decisions improving your campaign success.
Read more
Marketing is getting faster paced by the minute and it can be really hard to keep up as well as analyse whats right and whats wrong with your marketing. That's where my course comes in. My course is designed to give everyone that is interested in marketing the tools to analyse campaigns and use metrics to make correct decisions improving your campaign success.
It is designed with a great fun foundation building up on previous lectures and information all the way till you are ready to launch your own campaign and lastly analyse it. My course will prepare you with realistic concepts so that you can use it right away whether you own your own business, work in marketing or even manage a team and want more from your campaign data.
Data doesn't have to be boring, my course will paint a picture rich in information and detail which you will use to better your campaign and think objectively on how to improve your results.
So take the course I always wish I had when I started in Marketing and get the competitive edge in this ever changing industry.
Register for this course and see more details by visiting:
OpenCourser.com/course/c7elqn/data
What's inside
Learning objectives
- Understand data driven marketing
- Calculate cost per lead (cpl)
- Calculate lead to close ration
- Launch a campaign
- Work out the roi
- Analyse and critically asses a marketing campaign
- Understand data driven marketing
- Calculate cost per lead (cpl)
- Calculate lead to close ration
- Launch a campaign
- Work out the roi
- Analyse and critically asses a marketing campaign
Syllabus
Learn about the course structure and what you can expect to learn once you have finished this course.
Introduction and a little bit about me.
Read more
Syllabus
Learn about the course structure and what you can expect to learn once you have finished this course.
Introduction and a little bit about me.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches core skills needed by all types of marketers
Provides a multifaceted look at vital data analysis tools
Develops skills in planning, executing, and monitoring marketing campaigns
Suitable for beginners seeking an accessible yet comprehensive overview
Taught by experienced instructors holding industry expertise
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Reviews summary
Practical foundation in data marketing
According to learners, this course provides a solid and practical foundation for understanding data-driven marketing. Many students highlight the clear explanations and abundant examples, finding the content easy to understand and follow. Reviewers frequently mention the course's practical value and how its insights and strategies are easily applicable to their work or business. It is widely seen as an excellent starting point and very good for beginners in the field. However, some learners noted that despite the "A-Z" title, the course may not cover truly advanced topics in depth, particularly mentioning the advanced analytics section as brief. Overall, sentiment is overwhelmingly positive, praising its effectiveness for those new to using data in marketing.
Less comprehensive for expert users.
"I think this course is good, but it does not cover everything needed for a "Data Driven Marketing A-Z" course."
"Although it's called A-Z, it's more of a beginner to intermediate course."
"Good overview, but it lacks depth in certain areas."
"As others mentioned, not truly 'A-Z' for advanced levels."
An excellent entry point for new learners.
"The course is very good for begginers that want to understand the concepts..."
"Excellent course for understanding the basics."
"Great course for beginners in data marketing."
"Perfect for someone new to data marketing."
Content is easy to understand and follow.
"Very easy to understand with a lot of examples."
"Explanations with examples were easy to follow."
"Wonderful insights and easy to understand examples."
"The instructor explains complex topics in a simple way."
"Clear explanations and practical exercises."
"Instructor makes it very easy to understand."
Real-world relevance and usefulness.
"Great, lots of practical info which are easy to apply."
"All information is practical and useful for business."
"Very useful practical advice."
"This course was so useful and practical. Highly recommended..."
"Highly practical and actionable insights. Exactly what I needed."
"Loved the practical examples... Very applicable to my work."
Some found this section too brief.
"The analytics part (advanced analytics) is quite brief and not going in depth."
"The advanced analytics section felt rushed."
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 Data Driven Marketing A-Z: Improve Your Campaign Performance with these
activities:
Help peers understand concepts by answering questions
Show steps
Strengthens understanding by explaining concepts to others
Show steps
-
Identify opportunities to help peers in online forums or study groups
-
Provide clear and concise explanations, share resources, and offer support
Data-Driven Marketing Resource Collection
Show steps
Compile a valuable collection of resources related to data-driven marketing, including articles, reports, case studies, and tools.
Show steps
-
Identify relevant resources from reputable sources.
-
Categorize and organize the resources based on specific topics or use cases.
-
Document the resources in a structured format, such as a spreadsheet or wiki.
-
Share the resource collection with peers or colleagues.
-
Update and maintain the collection as new resources become available.
Practice applying formulas and solving problems
Show steps
Provides opportunities to reinforce and improve understanding of analytical techniques
Browse courses on
Problem Solving
Show steps
-
Identify online platforms or resources with practice problems
-
Solve problems independently and review solutions
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Form a study group to discuss course material
Show steps
Promotes engagement with peers and facilitates deeper comprehension through discussions and knowledge sharing
Browse courses on
Collaborative Learning
Show steps
-
Identify classmates interested in forming a study group
-
Establish regular meeting times and a platform for communication
-
Review and discuss course material, ask questions, and share insights
Practice Calculating CPL and Lead to Close Ratio
Show steps
Master the formulas and calculations for CPL and Lead to Close Ratio to strengthen your understanding of campaign effectiveness.
Show steps
-
Review the formulas for CPL and Lead to Close Ratio.
-
Solve practice problems using provided datasets.
-
Interpret the results and analyze their implications for campaign optimization.
Participate in online discussions or forums
Show steps
Connects students with a broader community of Data Science practitioners and provides access to diverse perspectives
Show steps
-
Identify online forums or discussion groups relevant to Data Science
-
Engage in discussions, ask questions, and share knowledge
Create an Effective Campaign Blueprint
Show steps
Follow step-by-step tutorials to design a comprehensive campaign blueprint that outlines your goals, target audience, and key metrics.
Show steps
-
Identify your campaign objectives and target audience.
-
Map out the campaign journey and touchpoints.
-
Define and implement trackable metrics for campaign success.
-
Conduct a cost-benefit analysis to optimize your budget.
-
Finalize and document your campaign blueprint.
Follow tutorials on data cleaning and manipulation
Show steps
Guides students through the process of data preparation to improve understanding of techniques and tools
Browse courses on
Data Preprocessing
Show steps
-
Identify online tutorials on data cleaning and manipulation tailored to the course
-
Complete tutorials on data cleaning and manipulation techniques
Analyze a Real-World Marketing Campaign
Show steps
Conduct a comprehensive analysis of a real-world marketing campaign, evaluating its strengths, weaknesses, and potential for improvement.
Browse courses on
Campaign Analysis
Show steps
-
Gather data from multiple sources, including marketing reports, analytics tools, and customer feedback.
-
Calculate key metrics such as ROI, CPL, and Lead to Close Ratio.
-
Identify areas for improvement and make recommendations for optimization.
-
Present your findings in a detailed report or presentation.
-
Share your analysis with relevant stakeholders and implement improvements.
Create a data visualization to explain key concepts
Show steps
Encourages students to present data in a clear and compelling way
Browse courses on
Data Visualization
Show steps
-
Identify a dataset that highlights key Data Science concepts
-
Select an appropriate data visualization technique
-
Create the visualization using appropriate tools
Help peers understand concepts by answering questions
Show steps
Strengthens understanding by explaining concepts to others
Show steps
Show steps
Show steps
- Identify opportunities to help peers in online forums or study groups
- Provide clear and concise explanations, share resources, and offer support
Data-Driven Marketing Resource Collection
Show steps
Compile a valuable collection of resources related to data-driven marketing, including articles, reports, case studies, and tools.
Show steps
Show steps
Show steps
- Identify relevant resources from reputable sources.
- Categorize and organize the resources based on specific topics or use cases.
- Document the resources in a structured format, such as a spreadsheet or wiki.
- Share the resource collection with peers or colleagues.
- Update and maintain the collection as new resources become available.
Practice applying formulas and solving problems
Show steps
Provides opportunities to reinforce and improve understanding of analytical techniques
Browse courses on
Problem Solving
Show steps
Show steps
Show steps
- Identify online platforms or resources with practice problems
- Solve problems independently and review solutions
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Form a study group to discuss course material
Show steps
Promotes engagement with peers and facilitates deeper comprehension through discussions and knowledge sharing
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Identify classmates interested in forming a study group
- Establish regular meeting times and a platform for communication
- Review and discuss course material, ask questions, and share insights
Practice Calculating CPL and Lead to Close Ratio
Show steps
Master the formulas and calculations for CPL and Lead to Close Ratio to strengthen your understanding of campaign effectiveness.
Show steps
Show steps
Show steps
- Review the formulas for CPL and Lead to Close Ratio.
- Solve practice problems using provided datasets.
- Interpret the results and analyze their implications for campaign optimization.
Participate in online discussions or forums
Show steps
Connects students with a broader community of Data Science practitioners and provides access to diverse perspectives
Show steps
Show steps
Show steps
- Identify online forums or discussion groups relevant to Data Science
- Engage in discussions, ask questions, and share knowledge
Create an Effective Campaign Blueprint
Show steps
Follow step-by-step tutorials to design a comprehensive campaign blueprint that outlines your goals, target audience, and key metrics.
Show steps
Show steps
Show steps
- Identify your campaign objectives and target audience.
- Map out the campaign journey and touchpoints.
- Define and implement trackable metrics for campaign success.
- Conduct a cost-benefit analysis to optimize your budget.
- Finalize and document your campaign blueprint.
Follow tutorials on data cleaning and manipulation
Show steps
Guides students through the process of data preparation to improve understanding of techniques and tools
Browse courses on
Data Preprocessing
Show steps
Show steps
Show steps
- Identify online tutorials on data cleaning and manipulation tailored to the course
- Complete tutorials on data cleaning and manipulation techniques
Analyze a Real-World Marketing Campaign
Show steps
Conduct a comprehensive analysis of a real-world marketing campaign, evaluating its strengths, weaknesses, and potential for improvement.
Browse courses on
Campaign Analysis
Show steps
Show steps
Show steps
- Gather data from multiple sources, including marketing reports, analytics tools, and customer feedback.
- Calculate key metrics such as ROI, CPL, and Lead to Close Ratio.
- Identify areas for improvement and make recommendations for optimization.
- Present your findings in a detailed report or presentation.
- Share your analysis with relevant stakeholders and implement improvements.
Create a data visualization to explain key concepts
Show steps
Encourages students to present data in a clear and compelling way
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset that highlights key Data Science concepts
- Select an appropriate data visualization technique
- Create the visualization using appropriate tools
Career center
Learners who complete Data Driven Marketing A-Z: Improve Your Campaign Performance will develop knowledge and skills
that may be useful to these careers:
Marketing Director
Marketing Director
A Marketing Director oversees all marketing activities for a company. As a Marketing Director, you will need to understand the use of data in marketing and how to use that data to make marketing decisions. Data Driven Marketing A-Z: Improve Your Campaign Performance will help build a foundation in data-driven marketing as well as discussing how to use the data you gather to build successful campaigns.
Digital Marketing Manager
Digital Marketing Manager
A Digital Marketing Manager plans and executes digital marketing campaigns. Digital marketing is fast-paced and it is important to be able to analyze the success of a campaign and adapt as needed. Data Driven Marketing A-Z: Improve Your Campaign Performance will help teach you how to analyze and assess marketing campaigns.
Product Marketing Manager
Product Marketing Manager
A Product Marketing Manager is responsible for the marketing of a specific product or product line. A successful Product Marketing Manager will be able to use data to understand the target market for their product and measure the success of their marketing campaigns. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to read and understand marketing data, allowing you to make more informed marketing decisions.
Search Engine Optimization (SEO) Specialist
Search Engine Optimization (SEO) Specialist
An SEO Specialist is responsible for improving the ranking of a website on search engine results pages (SERPs). An SEO Specialist uses data to understand the factors that affect search engine rankings and to make changes to a website that will improve its ranking. Data Driven Marketing A-Z: Improve Your Campaign Performance will help build a foundation in data-driven marketing as well as discussing how to use the data you gather to build successful campaigns.
Social Media Marketing Manager
Social Media Marketing Manager
A Social Media Marketing Manager is responsible for the planning and execution of social media campaigns. They use data to understand their target audience, to develop content that will resonate with that audience, and to measure the success of their campaigns. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to analyze and assess marketing campaigns.
Content Marketer
Content Marketer
A Content Marketer is responsible for creating and distributing content that is valuable, relevant, and consistent. They use data to understand their target audience, to develop content that will resonate with that audience, and to measure the success of their content. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to analyze and assess marketing campaigns.
Brand Manager
Brand Manager
A Brand Manager is responsible for developing and maintaining a brand's identity. They use data to understand the target market for their brand, to develop a brand strategy, and to measure the success of their branding efforts. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to read and understand marketing data, allowing you to make more informed marketing decisions.
Marketing Analyst
Marketing Analyst
A Marketing Analyst is responsible for collecting, analyzing, and interpreting data to help marketers understand the effectiveness of their marketing campaigns. They use data to identify trends, to develop insights, and to make recommendations to improve marketing strategies. Data Driven Marketing A-Z: Improve Your Campaign Performance will help build a foundation in data-driven marketing and will provide you with the tools you need to be successful in this role.
Media Planner
Media Planner
A Media Planner is responsible for developing and executing media plans. They use data to understand the target audience for their campaign, to select the most effective media channels, and to negotiate the best rates. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to read and understand marketing data, allowing you to make more informed marketing decisions.
Public Relations (PR) Manager
Public Relations (PR) Manager
A PR Manager is responsible for managing the public relations of an organization. They use data to understand the target audience for their organization, to develop a PR strategy, and to measure the success of their PR efforts. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to read and understand marketing data, allowing you to make more informed marketing decisions.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. They use data to understand the sales pipeline, to identify trends, and to make decisions to improve sales performance. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to read and understand marketing data, allowing you to make more informed marketing decisions.
Business Development Manager
Business Development Manager
A Business Development Manager is responsible for identifying and developing new business opportunities. They use data to understand the market, to identify potential customers, and to develop strategies to win new business. Data Driven Marketing A-Z: Improve Your Campaign Performance will teach you how to read and understand marketing data, allowing you to make more informed marketing decisions.
Marketing Consultant
Marketing Consultant
A Marketing Consultant provides marketing advice to businesses. They use data to understand the client's business, to identify marketing opportunities, and to develop marketing strategies. Data Driven Marketing A-Z: Improve Your Campaign Performance will provide you with the tools you need to be successful in this role.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They use data to identify trends, to develop insights, and to make recommendations to improve business decisions. Data Driven Marketing A-Z: Improve Your Campaign Performance will help build a foundation in data-driven marketing and will provide you with the tools you need to be successful in this role.
Statistician
Statistician
A Statistician uses data to solve problems. They use data to identify trends, to develop insights, and to make recommendations to improve decisions. Data Driven Marketing A-Z: Improve Your Campaign Performance will provide you with the tools you need to be successful in this role.
For more career information including salaries, visit:
OpenCourser.com/course/c7elqn/data
Reading list
We've selected 15 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
Data Driven Marketing A-Z: Improve Your Campaign Performance.
Save
Provides a comprehensive overview of marketing analytics techniques and how to use Microsoft Excel to analyze data.
A comprehensive introduction to data science techniques in marketing, covering topics such as data mining, predictive modeling, and optimization.
Save
Provides a comprehensive overview of marketing analytics techniques and how to use Microsoft Excel to implement them. It would be a valuable reference for students who want to learn more about the technical aspects of marketing analytics.
Provides a comprehensive overview of digital marketing analytics, covering topics such as data collection, analysis, and interpretation. It useful reference for those who want to learn more about the technical aspects of marketing analytics.
Provides an introduction to marketing data science and predictive analytics. It good resource for learners who are interested in learning how to use data science techniques to improve marketing campaigns.
Provides a practical guide to using data and analytics in marketing. It useful resource for marketers who want to learn how to use data to inform their decision-making.
Provides a practical guide to using Google Analytics to improve marketing campaigns. It useful reference for learners who want to gain hands-on experience with Google Analytics.
A practical guide to developing and executing successful marketing campaigns, including strategic planning, audience segmentation, and performance evaluation.
This classic textbook provides a comprehensive overview of marketing management. It useful resource for learners who want to gain a broader understanding of marketing principles and practices.
Provides a practical guide to using Google Analytics to improve marketing campaigns. It particularly useful reference for learners who want to gain hands-on experience with Google Analytics.
Save
Explores the potential and pitfalls of predictive analytics, providing case studies and practical advice.
Save
Provides a gentle introduction to data science and analytics. It useful resource for learners who are new to the field of data science.
Save
Provides a practical guide to marketing analytics. It useful resource for learners who want to learn how to use data to inform their marketing decision-making.
Provides a very basic introduction to big data and its applications. It useful resource for learners who are new to the field of big data.
Provides a gentle introduction to machine learning. It useful resource for learners who are new to the field of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c7elqn/data
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