• Examining how rapidly shifting consumer expectations are redefining the relationship between marketing, digital and customer experience
• Demonstrating how organisations can turn data into insight and insight into outcomes through integrated decision-making and real-time responsiveness
• Establishing the capabilities, leadership behaviours and operating models required to deliver measurable impact across the end-to-end journey
• Exploring how CMOs are aligning brand, product, digital and service functions to create cohesive journeys that convert and retain
• Leveraging customer insight, AI and cross-functional collaboration to move from influence to tangible commercial impact
• Connecting brand promise with operational delivery to strengthen trust, accountability and long-term customer value
Join us in this Speed Networking Session where you will be able to meet other participants at the event! During this session, you will have the opportunity to engage with several leaders in a short amount of time and exchange business cards to take the conversation beyond the event.
With Asia representing its largest and most diverse fanbase, the NBA must tailor its positioning, content, and engagement strategies market by market. This session explores how the league blends localisation, partnerships, and AI-driven personalisation to grow fandom, nurture loyal audiences, and power its direct-to-consumer ecosystem.
• Localising marketing and content strategy to reflect each country’s maturity - whether building new fandoms, nurturing existing communities, or partnering with local cultural icons like K-pop stars
• Using big data and AI to personalise the experience across the NBA ecosystem, enabling fans to follow specific players, teams, storylines, and game moments
• Leveraging technology to simplify the sheer volume of games and content, helping fans find what matters most to them
• Strengthening the league’s direct-to-consumer funnel through personalised journeys that drive League Pass adoption and deeper long-term engagement
• Identifying the highest-value signals that indicate propensity, intent or churn risk
• Designing predictive models that directly support acquisition efficiency and retention outcomes
• Refining activation strategies based on model accuracy, bias detection and performance feedback loops
• Prioritising spend towards audiences with the highest likelihood of conversion or long-term value
• Generating campaign variations aligned to brand guidelines and audience-specific formats
• Redesigning roles, processes and governance to enable faster experimentation and decision-making
• Upskilling teams in data literacy and AI fluency to ensure effective adoption and ownership
• Aligning AI-driven initiatives to commercial objectives to secure stakeholder buy-in
• Monitoring performance through transparent dashboards that tie activity to outcomes
• Mapping behavioural drop-off points that impede progression across digital and physical touchpoints
• Connecting marketing, e-commerce and on-ground service to deliver a consistent experience from pre-trip planning through post-travel engagement