Are you ready to shape the future of marketing science at the 2025 conference and bring your ideas, methods, and questions to a community that values rigorous evidence and real-world impact?
Shaping the Future of Marketing Science Conference
You’re looking at a conference designed to connect the latest academic advances with the most pressing industry challenges in marketing science. The 2025 edition aims to create an inclusive forum where theoreticians, methodologists, data scientists, practitioners, and students work together to improve measurement, causal inference, experimentation, and ethical use of data in marketing.
What this conference is about
You’ll find sessions that emphasize both methodological rigor and practical relevance. The conference focuses on robust empirical methods, reproducibility, and how novel technologies — including AI and new data sources — change marketing practice and research.
Why attend Marketing Science Conference 2025
You’ll gain exposure to cutting-edge research, practical case studies, and actionable techniques you can apply immediately. Whether you’re presenting a paper, attending workshops, or seeking collaborators, the conference offers learning, career, and networking opportunities tailored to your goals.
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Key themes and tracks
You’ll encounter a broad set of themes designed to represent the state-of-the-art in marketing science. Each track balances theoretical advances and applications.
- Measurement and metrics: Advances in how you measure brand, customer behavior, and campaign effectiveness.
- Causal inference and experiments: Improved designs, identification strategies, and interpretation.
- Machine learning and AI in marketing: Responsible use of predictive and prescriptive models for personalization and targeting.
- Data privacy, ethics, and regulation: Practices that safeguard consumers while enabling research.
- Multichannel and digital analytics: Measurement across channels, attribution, and media mix modeling.
- Customer analytics and lifetime value: Modeling customer journeys, churn, and CLV with sophisticated methods.
- Field experiments and big-data trials: Scaling experiments in digital and offline settings.
- Reproducibility and open science: Sharing code, data, and protocols to increase confidence in findings.
Theme-to-question table
| Theme | Key question you’ll see addressed |
|---|---|
| Measurement and metrics | How do you develop valid, reliable indicators of marketing outcomes? |
| Causal inference | Which identification strategies let you infer cause from messy real-world data? |
| Machine learning & AI | How do you balance predictive accuracy with interpretability and fairness? |
| Privacy & ethics | How can you produce insights while respecting privacy and regulatory constraints? |
| Multichannel analytics | How do you attribute results across a fragmented media ecosystem? |
| Customer analytics | How do you model heterogeneity in customer lifetime value? |
| Field experiments | What practical considerations enable large-scale experiments in the wild? |
| Reproducibility | What best practices assure that your results are reproducible and reusable? |
Conference format and schedule overview
You’ll participate in a multi-day program featuring plenary keynotes, parallel technical sessions, poster sessions, workshops, and panels. The structure is intended to give you flexibility — from deep technical tutorials to short applied talks.
- Day 1: Tutorials and pre-conference workshops for hands-on skill building.
- Day 2: Keynotes, technical sessions, and poster sessions promoting academic and applied exchange.
- Day 3: Panels, industry case studies, and special sessions focused on policy, ethics, and implementation.
- Additional activities: Career fair, networking receptions, and mentorship meetings.
Typical daily schedule
| Time | Activity |
|---|---|
| 08:00–09:00 | Registration and breakfast networking |
| 09:00–10:30 | Plenary keynote |
| 10:45–12:15 | Parallel technical sessions |
| 12:15–13:30 | Lunch and sponsor booths |
| 13:30–15:00 | Workshops / Tutorials |
| 15:15–16:45 | Panel discussions / Case studies |
| 17:00–18:30 | Poster sessions and receptions |
You’ll appreciate how the schedule balances learning with social time to foster collaboration and community building.
Call for papers and submission guidelines
You’ll be invited to submit original, unpublished work across theoretical, methodological, empirical, and applied areas. Submissions are evaluated for novelty, rigor, and relevance to marketing science.
- Formats accepted: Full papers, short papers, poster abstracts, and practitioner case studies.
- Required components: Abstract, full manuscript (for full/short papers), data/code availability statement, and conflict of interest disclosure.
- Formatting: Follow the conference template (usually provided on the conference website) and adhere to page limits.
Submission types and requirements
| Submission type | Typical length | Data/code requirement | Purpose |
|---|---|---|---|
| Full paper | 8–12 pages (plus appendices) | Strongly encouraged | Complete empirical/theoretical contributions |
| Short paper | 4–6 pages | Encouraged | Work-in-progress or focused contributions |
| Poster abstract | 250–500 words | Optional but recommended | Early-stage ideas and preliminary results |
| Practitioner case study | 2–6 pages | Data description required | Applied lessons from industry |
When you prepare a submission, ensure reproducibility where possible by including data or synthetic datasets and well-documented code.
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Review process and acceptance criteria
You’ll have your work reviewed by an international program committee that values methodological soundness and contribution to theory or practice. Reviews typically address novelty, clarity, evidence quality, and reproducibility.
- Double-blind review: Many conferences use double-blind review to minimize bias; follow the anonymization guidelines.
- Review criteria: Originality, methodological rigor, clarity of exposition, practical or theoretical relevance, and reproducibility.
- Decision stages: Desk review for scope and formatting, followed by peer review and program committee decisions.
What reviewers look for
You’ll want to demonstrate clear research questions, rigorous methodology, credible results, and transparent reporting. Providing replication materials will improve reviewers’ confidence in your findings.
Important dates and deadlines
You’ll need to plan ahead to meet submission and registration deadlines. Below is a sample timeline to guide your preparation; check the official site for exact dates.
| Milestone | Typical timeline (example for 2025) |
|---|---|
| Call for papers announced | January 2025 |
| Submission deadline | March 2025 |
| Notification of acceptance | May 2025 |
| Camera-ready submissions | June 2025 |
| Early-bird registration deadline | June 2025 |
| Conference dates | August 2025 |
You’ll benefit from submitting early to allow time for revisions and to secure travel arrangements.
Registration, fees, and scholarships
You’ll find multiple registration categories to match your status and needs. The conference typically offers reduced rates for students, early-bird registrants, and low-income country participants.
- Categories: Regular, student, retired, virtual, and single-day registrations.
- Additional costs: Workshop fees, banquet tickets, and tutorial registrations may be extra.
- Scholarships and travel grants: Many conferences offer limited travel grants and fee waivers for students and underrepresented participants.
Sample fee structure
| Registration type | Early-bird fee | Standard fee |
|---|---|---|
| Regular | $650 | $800 |
| Student | $250 | $350 |
| Virtual | $150 | $200 |
| One-day | $300 | $350 |
You should apply early for financial aid and check eligibility criteria to maximize your chances.
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Travel, venue, and logistics
You’ll want to plan travel and lodging early. The conference usually partners with local hotels for discounted rates and offers guidance on local transport, visa requirements, and accessibility.
- Venue selection: Chosen for accessibility, capacity, and tech infrastructure to support hybrid sessions.
- Accommodation: Range of hotels and university housing options for students.
- Accessibility: Materials and spaces are usually planned to accommodate differing needs; request accommodations in advance.
Tips for travel planning
- Book flights when early-bird registration opens to get lower fares.
- Look for refundable or changeable tickets.
- Reserve hotels in the conference block to access shuttle services and networking opportunities.
Keynote speakers and panel sessions
You’ll hear from a mix of leading academics, industry research leaders, and policy experts. Keynotes are chosen for visionary perspectives and practical insights that challenge conventional thinking.
- Keynotes: Broad, strategic talks addressing the future of measurement, AI, or ethics in marketing.
- Panels: Multiple perspectives on topics such as regulation, industry adoption of new methods, and education in marketing science.
- Practitioner talks: Case studies that show how academic advances translate into business decisions.
You’ll want to attend keynotes to gain broad context and panels to hear debates that can stimulate new research directions.
Workshops and tutorials
You’ll be able to take part in hands-on workshops that build skills in statistical methods, experimental design, causal inference, and implementation of models in production.
Common workshop topics include:
- Advanced causal inference methods (synthetic controls, instrumental variables, difference-in-differences).
- Experimentation at scale (A/B testing pipelines, sequential testing).
- Machine learning for marketing (feature engineering, model fairness, deployment).
- Privacy-preserving analytics (differential privacy, secure multi-party computation).
Sample workshop schedule
| Workshop | Duration | Who should attend |
|---|---|---|
| Causal inference hands-on | Half-day | Researchers and analysts with basic stats background |
| ML for customer analytics | Full-day | Data scientists and marketing analysts |
| Privacy & regulation in practice | Half-day | Legal and analytics teams |
| Experimentation engineering | Full-day | Engineers and product managers |
You’ll benefit most from workshops if you prepare in advance by reviewing recommended readings and installing any required software.
Technical sessions and posters
You’ll find sessions organized by topic with 15–25 minute presentations, followed by Q&A. Poster sessions are crucial for informal conversation and collaboration building.
- Oral presentations: Focus on clear problem statements, methods, and takeaways.
- Poster sessions: Ideal for presenting work-in-progress and getting direct feedback.
- Presentation tips: Practice timing, focus on clarity for non-specialist audience members, and prepare one-slide takeaways.
You’ll want to tailor your talk to the audience: highlight intuition and implications rather than only technical derivations.
Reproducibility, open science, and data sharing policies
You’ll be encouraged to share code and data whenever possible to support reproducibility. The conference may require a data/code availability statement and encourage pre-registration for experiments.
- Reproducibility expectations: Clear documentation, versioned code, and instructions to reproduce main results.
- Data sharing: Where legal and ethical, share anonymized datasets or synthetic alternatives.
- Pre-registration: For experiments and confirmatory analyses, pre-registration increases credibility.
Reproducibility checklist for your submission
| Item | Why it matters |
|---|---|
| Versioned code repository (Git) | Enables reproducible workflows |
| README with run instructions | Lowers barrier for replication |
| Data availability statement | Clarifies what others can access |
| Computational environment (Docker/Conda) | Ensures reproducible execution |
| Seeded random generators | Replicates stochastic results |
When you follow these steps, your work will be easier to validate and build upon.
Ethical considerations and privacy
You’ll face ethical questions in design, data collection, and deployment. The conference emphasizes responsible research that respects consumer rights and legal standards.
- Consent and transparency: Ensure informed consent where applicable and transparent use of consumer data.
- De-identification: Use best practices to reduce re-identification risk.
- Fairness and bias: Evaluate whether models disadvantage specific groups and take steps to mitigate harms.
- Regulatory compliance: Consider GDPR, CCPA, and local laws when designing studies and sharing data.
You’ll want to include an ethics statement in your submission explaining how you addressed potential harms and privacy concerns.
Industry engagement and applied tracks
You’ll see industry case studies that demonstrate how organizations measure ROI, run experiments, and operationalize models. These sessions help you link academic advances to business impact.
- Applied tracks: Short formats for practitioners to share results and lessons learned.
- Collaboration opportunities: Mixed sessions to foster partnerships between academia and industry for data access and joint experimentation.
- Implementation lessons: Practical issues like deployment, monitoring, and model maintenance are emphasized.
You’ll leave with both conceptual insights and practical steps to implement in your organization.
Sponsorship and exhibition opportunities
You’ll find sponsor booths showcasing tools, platforms, and services for analytics, experimentation, and marketing measurement. Sponsorship supports scholarships and conference infrastructure.
- Sponsorship tiers: Varying benefits such as booth space, speaking slots, and visibility.
- Exhibitor goals: Demonstrate solutions, recruit talent, and initiate pilot projects.
- Ethical sponsorship: Sponsors are expected to respect the academic independence of sessions and support open science values.
You’ll have opportunities to meet vendors and test tools in person, making it easier to evaluate whether a solution fits your needs.
Student involvement and mentoring
You’ll see programs designed to support student growth, including reduced fees, travel grants, and mentoring. Students often present posters, short papers, and participate in competitions.
- Student sessions: Student paper sessions and awards recognize outstanding early-career research.
- Mentoring programs: Pair students with senior researchers for career guidance and networking.
- Competitions: Data challenges or innovation prizes for practical problem-solving.
If you’re a student, take advantage of mentoring and networking to accelerate your research and career prospects.
Career and networking opportunities
You’ll discover job openings, internships, and collaborative projects through the conference’s career fair and informal networking events. Recruiters often attend to meet top candidates.
- Career fair: Companies and academic institutions recruit for research and data roles.
- Networking receptions: Structured and unstructured events to meet peers and potential collaborators.
- Elevator pitches: Prepare a concise summary of your work and goals to make strong impressions.
You’ll maximize outcomes by having clear goals: know who you want to meet and prepare concise materials like a one-page resume or a research synopsis.
Practical takeaways and how to prepare
You’ll want to leave with concrete next steps for your research, practice, or career. Preparation will help you get the most from the conference.
- What to bring: Business cards, laptop, printed posters, and a list of people you want to meet.
- Pre-conference tasks: Read abstracts, schedule meetings, and sign up for workshops.
- Presentation preparation: Rehearse, time your talk, and prepare responses to likely questions.
Pre-conference checklist
| Task | When to do it |
|---|---|
| Register and pay fees | As soon as possible |
| Book travel and accommodation | At early-bird registration |
| Submit final materials (camera-ready) | Before the camera-ready deadline |
| Prepare poster and slides | 2–3 weeks before |
| Reach out to contacts and schedule meetings | 1–2 weeks before |
You’ll benefit from planning so you can focus on learning and networking during the event.
After the conference: publications, proceedings, and follow-up
You’ll find multiple ways to extend the conference’s impact through proceedings, special journal issues, and working groups. Many papers are later published in peer-reviewed journals.
- Proceedings: A formal record of accepted papers, often with DOI assignment.
- Special issues: Thematic journal issues may collect extended versions of top conference papers.
- Working groups: Topic-specific groups formed at the conference can continue collaboration year-round.
You’ll want to follow up with contacts, share replication materials, and consider how to translate feedback into revised submissions.
How this conference shapes the future of marketing science
You’ll participate in shaping norms around rigor, transparency, and practical relevance. The conference promotes methods that improve decision making for firms while protecting consumer welfare.
- Methodological impact: Encourages stronger causal identification, better measurement, and more robust evaluation.
- Practical impact: Helps organizations adopt evidence-based approaches to marketing that are scalable and ethical.
- Community impact: Fosters cross-pollination between academia, industry, and policy to address real-world challenges.
When you contribute your work and engage with the community, you help influence standards and priorities in marketing science.
Future trends to watch that will appear at the conference
You’ll encounter emerging topics that will likely define future research and practice, such as privacy-preserving analytics, real-time experimentation, and hybrid causal–predictive methods.
- Privacy-preserving methods: Differential privacy, federated learning, and secure computation enable analysis without centralized raw data.
- Real-time experimentation: Continuous delivery of tests and adaptive experiments will be more prevalent.
- Hybrid modeling: Integration of causal inference with machine learning for both interpretability and predictive power.
- Generative AI: Synthetic data generation and content personalization raise both opportunities and ethical concerns.
You’ll want to keep monitoring these trends to ensure your research and practice remain relevant.
Frequently asked questions (FAQ)
You’ll likely have common questions; here are concise answers to help you plan.
Q: Who should attend? A: Anyone working at the intersection of marketing, analytics, data science, and methodology, including academics, practitioners, students, and policymakers.
Q: Can I share data and code? A: Yes — and you’re encouraged to. If data cannot be shared, provide a data availability statement and consider synthetic datasets.
Q: Are virtual attendance options available? A: Most conferences offer virtual access to plenaries and selected sessions; hybrid formats are common.
Q: How competitive is acceptance? A: It varies by year, but program committees typically maintain selective standards focused on contribution and rigor.
Q: How can I get travel funding? A: Apply for conference travel grants, seek departmental support, or contact sponsors that fund student travel.
Final advice for making the most of the conference
You’ll get the greatest value by planning your time, engaging in sessions outside your immediate expertise, and following up after the event. Be open to feedback, and be ready to use the conference to both present your best work and learn from others’ approaches. Your active participation — through questions, collaboration, and reproducible practices — helps shape a robust and ethical future for marketing science in 2025 and beyond.
