This conference examines the transformative potential of behavioral data in enabling hyper-personalized experiences that boost engagement among customers and employees alike. It explores data-driven strategies that capture, analyze, and utilize behavioral insights to tailor interactions, improve satisfaction, and foster loyalty. Key themes include AI-powered personalization, privacy and ethical data use, and scalable approaches to integrating behavioral intelligence in marketing and HR initiatives.
Structure and Sessions (Who Does What):
Organizing Committee: Develops the agenda, curates leading speakers, and manages event logistics.
Keynote Speakers: Experts in behavioral analytics, AI, marketing, and human resources share cutting-edge research and applications.
Session Chairs: Moderate sessions, encourage discussion, and lead Q&A interactions.
Presenters: Industry practitioners, researchers, and technology innovators present case studies, frameworks, and emerging tools.
Participants: Engage actively through interactive sessions, panels, and networking opportunities.
Technical Review Committee: Screens abstracts and papers for quality and relevance.
Participate and Contribute (Who Benefits):
Marketing and Customer Experience Leaders: Learn to harness behavioral data for personalized customer journeys.
HR and Talent Management Professionals: Explore behavioral analytics to enhance employee engagement and retention.
Data Scientists and AI Specialists: Showcase innovative methods and tools for behavioral data usage.
Academics and Researchers: Present research findings and publish in indexed journals.
Students and Practitioners: Gain insights into the future of data-driven personalization.
Benefits:
Certificate of Participation awarded after submission of post-event feedback.
Commemorative momento recognizing contributor engagement.
Abstracts and selected papers published in leading indexed journals including Scopus, CrossRef, Web of Science (WoS), Elsevier, and SCI.
Abstract Topics / Call for Papers (CFP) Tracks:
Behavioral Data Collection, Privacy, and Ethics
AI and Machine Learning for Hyper-Personalization
Enhancing Customer Experience Through Behavioral Insights
Employee Engagement and Retention Using Behavioral Analytics
Cross-Channel and Omnichannel Personalization Strategies
Predictive Analytics and Customer Lifetime Value
Data Visualization and Interpretation for Behavioral Data
Case Studies of Scalable Personalization in Marketing and HR
Measuring ROI on Personalization Initiatives
Future Trends in Behavioral Data-Driven Engagement
Registration:
Online registration open to marketing professionals, HR specialists, data scientists, researchers, and students.
Detailed abstract submission procedures with deadlines.
Participants access live sessions, recorded content, conference materials, certification, and publication pathways.
Detailed Program Grid (2 Half Days, 9 AM to 1 PM)
Time
Day 1
Day 2
09:00 – 09:15
Opening Remarks & Conference Welcome
Recap of Day 1 & Keynote Address
09:15 – 10:00
Keynote Session I: Behavioral Data Ethics and Privacy
Keynote Session III: Personalization at Scale
10:00 – 10:45
Technical Session I: AI Techniques for Behavioral Data
Technical Session II: Customer Journey and Data Insights
Panel Discussion: Case Studies and ROI in Personalization
11:45 – 12:30
Abstract Presentations and Research Highlights
Technical Session IV: Future Directions in Behavioral Analytics
12:30 – 13:00
Participant Feedback and Closing Discussions
Closing Ceremony & Certificate Distribution
This conference provides the latest insights and tools for leveraging behavioral data in customer and employee engagement, with opportunities for certification and publication in prominent academic venues.
