HYBRID EVENT
: You Can Participate In Person At
Marseille, France
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ICDSCE · Registering as Listener
International Conference on Data Science for Customer Experience
20–21 Jan 2027
Marseille, France
Standard / Physical
Participation
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$
135
virtual · $195 in person
Registration Benefits:
Official invitation letter
Issued automatically after registration
Certificate & digital materials
Get certificate, slides and resource materials
Supporting global research
Connect with researchers across 30+ countries
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Standard / Physical
$195
On-site keynotes, talks, workshops, networking, conference kit and certificate.
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$135
Live streaming access to all sessions, digital materials and certificate.
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to
[email protected]
with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to
[email protected]
.
Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Predictive Analytics in Customer Experience
This track focuses on the application of predictive analytics techniques to enhance customer experience. Participants will explore methodologies for forecasting customer behavior and preferences through data-driven insights.
02
Personalization Strategies in E-commerce
This session examines the role of data science in developing personalized shopping experiences in e-commerce. Discussions will include algorithms and frameworks that enable tailored recommendations and targeted marketing.
03
Sentiment Analysis for Brand Management
This track delves into sentiment analysis as a tool for understanding customer perceptions and brand reputation. Researchers will present innovative approaches to analyze customer feedback and social media interactions.
04
Mapping the Customer Journey with Data
This session highlights techniques for mapping customer journeys using data analytics. Attendees will learn how to visualize and optimize touchpoints to improve overall customer satisfaction.
05
Behavioral Modeling for Enhanced Engagement
This track explores behavioral modeling techniques to predict and influence customer actions. Participants will discuss the integration of machine learning algorithms to enhance customer engagement strategies.
06
Experience Optimization through Data Insights
This session focuses on leveraging real-time data insights to optimize customer experiences. Experts will share case studies and frameworks that demonstrate effective experience enhancement.
07
Recommendation Systems in Marketing
This track investigates the development and implementation of recommendation systems in marketing strategies. Discussions will center on algorithms that drive customer engagement and conversion rates.
08
Data-Driven Engagement Strategies
This session emphasizes the importance of data-driven strategies in fostering customer engagement. Participants will explore various analytical tools and techniques that inform effective engagement practices.
09
Machine Learning Applications in CX
This track examines the integration of machine learning technologies in enhancing customer experience. Researchers will present innovative applications that improve service delivery and customer satisfaction.
10
CX Metrics and Performance Measurement
This session focuses on identifying and measuring key metrics that define customer experience success. Attendees will learn about frameworks for evaluating performance and driving continuous improvement.
11
Customer Profiling and Segmentation Techniques
This track explores advanced techniques for customer profiling and segmentation using data analytics. Participants will discuss methodologies that enable targeted marketing and personalized customer interactions.