Course detail

Digital Marketing

FP-dmaPAcad. year: 2026/2027

This course focuses on modern digital marketing and its application in the field of commerce, with special emphasis on the use of artificial intelligence (AI). Participants will become familiar with the definition of digital marketing, the role of social media, and ways to obtain relevant information for marketing research. The course introduces techniques for creating website content and product offerings using AI tools for personalization and recommendations. It also covers email marketing, SEO, SEM, and PPC advertising, including key metrics. An integral part of the course is web analytics, the use of Google Analytics, and AI for trend prediction. Special attention is given to social media marketing, mobile devices, and content advertising. The final section focuses on setting up an e-shop, online payments, CRM systems, and opportunities for automating customer care using AI.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Entry knowledge

The average level of knowledge in marketing terms and concepts.

Rules for evaluation and completion of the course

Course Completion:

Students will be assessed based on a project and presentation graded using the ECTS grading scale (A–F) – weight 50%, and a professional discussion (A–F) – weight 50%.

Credit:

Credit will be awarded based on the completion and defense of a project focused on:

  • Optimization of digital marketing tools and social media in relation to the launch of digital products on the market.

  • Application of system-analytical methods of digital marketing to product websites.

Exam:

The exam will focus on verifying professional knowledge in the form of an oral discussion.

Course Completion for Students with Individual Study Plans:

Project work and oral exam.
In the case of an ERASMUS exchange, recognition of a similar course is possible.

Distance Learning Format:

Project work and oral exam.

Lectures:

Attendance at lectures is not mandatory.

Seminars:

Attendance at seminars is mandatory. However, up to 3 unexcused absences are allowed. For any further absences, students must submit an electronic excuse via the system.

Part of the course will be dedicated to project consultations, and part will be allocated for independent team work on the projects. A maximum of 50 points can be earned from the project as part of the overall assessment.

The remaining 50 points can be earned through participation in professional discussions on topics covered during the course.

Aims

The aim of the course is the practical acquisition of individual tools of digital marketing in the business and application of social networks in connection with the promotion and sale of products. Additional aim is to teach students to apply system-analytical methods leading to innovations of product lines and optimization of attributes of individual innovated products or services with emphasis on increasing the competitiveness of the business entity.
Students will gain knowledge of specific approaches to digital marketing and social networking applications in business. Students will be able to use the relevant tools of digital marketing and optimize tactics and strategies using the necessary programs with respect to the effective allocation of necessary but limited resources.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

BUREŠOVÁ, Jitka. Online marketing: od webových stránek k sociálním sítím. 1. vydání. Praha: Grada Publishing, 2022. 288 s. ISBN 978-80-271-1680-5. (CS)
Huara, J., & Olaolu, D. (2024). A Guide to Digital Marketing: A Handbook for Students and Practitioners. SHOLLUD Investment Publishing Nig. Ltd. ISBN: 978-978-59846-3-7.​ (CS)
KINGSNORTH, Simon. Strategie digitálního marketingu: komplexní přístup k budování strategie pro on-line marketing. Překlad Martin Bednarski. 1. vydání. Brno: Lingea, 2022. 384 s. ISBN 978-80-7508-714-0. (CS)
Stokes, R., Solomons, D., Kliphuis, T., & Wadley, M. (2022). eMarketing: The Essential Guide to Marketing in a Digital World (7th ed.). Red & Yellow. ISBN: 9780639707808. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BAK-EAM Bachelor's

    specialization BAK-EAM-EP , 2 year of study, summer semester, elective

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Syllabus

1. Definition and conceptual framework of digital marketing and social media in business, use of digital marketing for marketing research purposes (gathering relevant information)
– use of AI for predictive analysis of customer behavior

2. Establishing and ensuring relevant content of a web presentation
– use of AI tools for generating personalized content (content marketing)

3. Offering products and related complementary services on websites
– automated product recommendations using AI based on user data analysis

4. Email marketing – basics of building effective email marketing campaigns
– customer segmentation using AI and integration with CRM systems for personalized communication

5. Search engine optimization – basics of creating an adaptable SEO plan – methodology for creating, editing and optimizing the form and content of websites to increase their visibility and appropriate automated processing in internet search engines

6. Search Engine Marketing (SEM) – targeting the desired customer segment, functioning of SEM auctions, introduction to key elements of PPC advertising

7. Keyword advertising in Google Ads – tools for researching and selecting keywords, negative keywords, campaign structure

8. Research tools, types of keyword matching, conversions and their selection, use of metrics: click through rate – CTR (effective ad click rate), cost per click – CPC (cost per ad click), pay per click – PPC (payment per click)

9. Web analytics as the basis of all digital activities – types of data and their interpretation to achieve business goals, examples of goal setting (conversions), Google Analytics and Google Trends
– use of AI for traffic analysis and prediction of user behavior trends

10. Marketing on social media, selecting suitable social platforms, and communicating with user base, corporate and personal accounts, setting goals and executing a plan

11. Digital marketing targeted at mobile devices; website optimization for mobile, use of web apps, special features for mobile search campaigns, mobile ads on social media

12. Display advertising, ad functions and appearance, display ad campaigns, targeting relevant audiences, promotional videos and video ads
– use of AI for automatic adaptation of advertising content to different target groups

13. Setting up an online store, example of a suitable content management system, online payments – payment gateways, order management
– integration with CRM systems for managing customer profiles and order history
– CRM as a tool for customer care and personalized offers within the e-shop
– tracking purchasing behavior and recommending repeat purchases using AI and CRM

Exercise

26 hod., compulsory

Teacher / Lecturer

Syllabus

1. Digital Marketing and Social Media in Retail, Marketing Research
Practical example: using AI for sentiment analysis and automated feedback collection.

2. Creating and Managing Relevant Website Content
Illustrated with examples.

3. Product and Service Presentation on the Website
Example: offer personalization using CRM based on purchase history.

4. Email Marketing – Building Effective Campaigns
Practical exercises.

5. SEO – Planning, Creating, and Optimizing Website Content for Search Engines
Example: using AI tools for SEO content and keyword suggestions.

6. SEM – Targeting, PPC, and Ad Auction Principles
Practical examples.

7. Keyword Advertising – Keyword Selection and Campaign Structure in Meta Business Suite
Exercises and demonstrations.

8. Working with Keywords and Metrics (CTR, CPC, PPC)
Practical exercises.

9. Web Analytics – Goals, Data, Google Analytics and Google Trends
Examples and output interpretation.

10. Social Media Marketing – Targeting, Communication, Strategy
Example: using CRM for audience segmentation and personalized campaigns.

11. Mobile Marketing – Website Optimization, Apps, and Mobile Ads
Practical examples.

12. Display Advertising – Formats, Videos, Targeting
Example: AI-generated promotional videos from product assets.

13. E-shop Setup, Payment Systems, Branding and Promotion
Examples of e-shop management and targeting based on purchase behavior.

Professional Knowledge

The student understands the principles of digital marketing (including SEO/SEM, email, and social media) on both desktop and mobile platforms.
They are familiar with website monetization, the use of AI, and the functioning of distribution and advertising channels.
They have knowledge of tools for analyzing and predicting customer behavior, including CRM and AI-based solutions.
They are oriented in electronic payment systems, UX optimization, and AI-supported website development.
They understand marketing research methods, including automated data collection and analysis from digital platforms.

Professional Competencies

They can design and evaluate digital marketing campaigns using AI tools (e.g., ChatGPT, Google Ads).
They optimize website content in terms of SEO, user experience, and brand design.
They analyze data from Google Analytics, CRM, and other sources to support marketing decisions.
They create personalized strategies and targeting based on segmentation and user data.
They are capable of planning digital activities effectively, even with a limited budget.

Professional Skills

They use AI tools in practice for ad creation, content development, SEO copywriting, and performance prediction.
They design surveys and analyze market research data using modern digital tools.
They design and test UX and web interfaces based on user behavior analysis.
They optimize social media campaigns according to trends and performance metrics.
They create targeted campaigns based on user data and e-shop behavior patterns.

Self-study

40 hod., optionally

Teacher / Lecturer

Individual preparation for an ending of the course

25 hod., optionally

Teacher / Lecturer