Neuromarketing & Artificial Intelligence - How to Improve a Brand's Communication on Social Media

At the end of the course the participant will be able to:

• improve a brand's communication on social media using Neuromarketing & Artificial Intelligence
• create different messages (content and media types) for various social media platforms and publish on collaborative platforms (e.g., Padlet.com)
• learn how to use diverse digital neuromarketing and analytics tools in order to craft social media strategies more efficiently (e.g., machine learning solution)
• receive more information on how to find and select social media and digital influencers for company/brand using special analytics tools, etc.).

• Overview of Neuromarketing & Consumer Neuroscience
• Interactive workshop with Neuromarketing and Artificial Intelligence tools (e.g., Eye-tracking (machine learning) solutions, Facial Expression recognition software)
• Social Media Platforms & best practice of Sustainable Brand Communication
• Artificial Intelligence solutions for Social Media data
• The main social media channels will be covered: Facebook, LinkedIn, Instagram

At the end of the course, participants will receive a certificate of attendance issued by the House of Training.

Egle Vaiciukynaite

Egle Vaiciukynaite is co-founder of Neuromarketing & AI pop-up lab. She is a Neuromarketing expert and a project manager/researcher at the Digitalisation Research Group, School of Economics and Business, Kaunas University of Technology (KTU). She has over seven years of experience in international (EU, US) and national research projects related to information and communication technologies, customer emotions and customer behaviour. Currently, she is working on five EU (and national) research and study projects related to digitalisation in business, customer emotions, and customer engagement behaviour. Her research interests cover the use of eye-tracking, neurophysiological methodologies, the effect of brand-initiated post variables on social media, and the applying machine learning to predict customer engagement on social media platforms.

She has been working as a (neuro) marketing consultant for business for over seven years. Industry research and consulting experience include international and national brands from various industries: beauty, chemical and biotechnological, food and drink, hospitality, pharmacy, public relations, and communication, etc. Currently, she is working on multiple EU (and national) research and study projects: as a researcher for the international KTU, KEEN and COST (CA16121) project; as an analyst for a national project related to a healthy lifestyle and sustainable food consumption (Neuromarketing); as a leader for international Erasmus+ entitled BSR Cluster manager education project; as a project expert for international Erasmus+ related to the entrepreneurial mindset of non-business academics in Europe.

Linas Damanskis

Linas Damanskis has 25 years of experience in public relations and corporate affairs, media relations and marketing communications. He is actively involved in the strategic development of public affairs, corporate communication, and social initiatives for international and local companies. His work also covers crisis prevention and management, brand awareness, and rebranding campaigns. He was the spokesman of the Ministry of European Affairs of the Republic of Lithuania.
His professional portfolio includes strategic consulting and supervision of integrated communications, as well as crisis management for international companies and brands: Circle K, ERGO, Audi, ZOLFO Cooper, Phillip Morris International, Inchcape, and other brands. He was senior supervisor implementing the National Euro adoption campaign in Lithuania. He was also strategic consultant of national & Pan-Baltic campaigns of integrated communication projects for Sanofi, MARS, Novo Nordisk, Kalnapilis-Tauras group, Laufen, Fresenius Kabi, and others.

Marius Vileiniskis

Marius Vileiniskis holds BSc and MSc degrees in Applied Mathematics from Kaunas University of Technology and a PhD from the University of Nottingham. He has more than 10 years of experience applying Machine Learning to real-world problems. He held Senior Data Scientist/Machine Learning Engineer roles in companies such as Danske Bank, HomeToGo, IBM, Mambu and currently Majid Al Futtaim. Throughout his experience, he has worked on end-to-end cross-industry solutions to help big companies such as Lufthansa, SIBS, James Fisher to use Data Science and Machine Learning techniques to benefit their business processes. He has mentored numerous aspiring Data Scientists to kick-start or accelerate their careers as well as served as a jury member for MSc Business Big Data Analytics at Kaunas University of Technology.