+1 7178835943 [email protected]
Hybrid Event (In-person or Virtual participation)

International Conference on Data-Driven Customer Relationship Management · Registering as Listener

ICDCRM
📅 1 – 2 Feb 2027 📍 Milan, Italy 👥 Standard / Physical Participation
Listener Registration From
$165
Registration Benefits:
Official invitation letterIssued automatically after registration
🎖 Certificate & digital materialsGet certificate, slides and resource materials
🌐 Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Coupon Code (If Any)

Have a code? Apply it here — the discount updates the total immediately.

🏷

For Support Please Contact

VISAMASTERCARDNET BANKINGUPI

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceInternational Conference on Data-Driven Customer Relationship Management
ModeStandard / Physical
ParticipationListener
Registration fee$165.00
Bank charges (5.8%)$9.57
Total payable $174.57

Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

📞 +91 93445 35349

Benefits of Registering as Listener

👥Access to Conference Sessions
🔗Networking Opportunities
🎖Certificate of Participation
Invitation Letter Support
📚Conference Kit / Materials
🎤Access to Keynote Sessions
• Conference Session Tracks •
SDG

SDG-Aligned Research Themes

Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 SDG 9 SDG 12

This track focuses on the latest advancements in CRM analytics, exploring tools and techniques that enhance customer insights. Participants will discuss methodologies that drive effective decision-making in customer relationship management.

This session will delve into predictive modeling techniques that facilitate deeper customer engagement. Researchers will present case studies demonstrating how predictive analytics can enhance customer interactions and satisfaction.

This track examines innovative approaches to customer segmentation, emphasizing data-driven methods. Presentations will highlight the impact of effective segmentation on targeted marketing and customer retention.

This session will explore the role of behavioral insights in shaping marketing strategies. Attendees will learn how understanding customer behavior can lead to more effective marketing campaigns and improved customer loyalty.

This track focuses on retention strategies that leverage data analytics to maintain customer loyalty. Discussions will center on best practices and innovative techniques for reducing churn rates.

This session will investigate various analytics platforms that enhance business intelligence capabilities. Participants will evaluate the effectiveness of different tools in driving data-informed decisions.

This track will cover data mining techniques specifically tailored for customer relationship management. Presentations will illustrate how these techniques can uncover valuable insights from large datasets.

This session will explore the intersection of marketing automation and customer loyalty programs. Experts will discuss how automation can streamline processes and enhance customer engagement.

This track focuses on the importance of real-time insights in improving customer experience. Attendees will learn about technologies and strategies that enable businesses to respond swiftly to customer needs.

This session will address the challenges and solutions related to data integration in CRM systems. Presenters will share insights on creating a unified view of customer data to drive better business outcomes.

This track will explore emerging trends and future directions in data-driven marketing. Participants will discuss the implications of new technologies and methodologies on customer relationship management.

COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED