REGISTRATION & REFRESHMENTS

Welcome Remarks

[Opening Fireside Chat]

Data as the growth engine: Developing the marketing foundation behind smarter customer decisions

• Identifying where useful customer data is really coming from today
• Reassessing why many brands still struggle to turn data into growth
• Discussing what senior marketers must fix before data can drive better decisions

[Case Study]

First-party reality: Building a value exchange customers will actually return to

• Designing data exchanges that give customers a clearer reason to identify themselves
• Strengthening owned customer relationships beyond one-off acquisition and retargeting
• Measuring how richer consented data improves retention, loyalty, and lifetime value

[Panel Discussion]

Omnichannel data: Closing the gap between online behaviour and offline intent

• Interpreting how customers move across digital, retail, and commerce environments
• Connecting behavioural signals with purchase context to build a more complete customer view
• Applying customer intelligence to improve targeting, journey design, and conversion decisions

[Lightning Talk]

Loyalty as a data engine: Creating value beyond points and rewards

• Exploring how loyalty programmes can help marketers understand customer value, repeat behaviour, and personalisation opportunities.

[Case Study]

Digital shelf intelligence: Managing visibility across marketplaces and owned commerce channels

• Tracking how product ranking and availability affect conversion
• Improving product content to strengthen shopper confidence
• Using marketplace performance to sharpen media and promotion decisions

[Lightning Talk]

Retail media, real signals: Moving beyond paid placement to sharpen shopper marketing decisions

• Assessing how retail intelligence can improve shopper understanding, campaign timing, and product focus.

[Panel Discussion]

From 4Ps to 5Cs in the world of data: Customers, campaigns, commerce, CRM, and conversion

• Breaking down why campaign planning and conversion data still sit apart
• Using CRM and commerce insight to close the loop between targeting and retention
• Feeding performance data back into planning so the next campaign gets smarter

[Fireside Chat]

Real-time analytics: Turning live data into sharper marketing decisions

• Reading campaign performance before momentum is lost
• Using analytics to adjust spend and messaging faster
• Turning reporting into action for stronger ROI

[Case Study]

AI-powered personalisation: Scaling relevance without weakening customer trust

• Using AI to adapt customer journeys around behaviour and intent
• Strengthening the data foundations needed for more relevant engagement
• Balancing automated personalisation with consent, trust, and long-term brand equity

[Lightning Talk]

Data governance: Cleaning the inputs before marketing automation scales the mistakes 

• Assessing how clearer ownership, better data quality, and stronger governance can prevent analytics and AI from amplifying poor assumptions.

[Lightning Talk]

B2B pipeline discipline: When digital leads do not convert into sales conversations

• Looking at how marketers can tighten lead qualification, CRM handover, and sales follow-up so digital demand does not disappear after capture.

[Case Study]

Cross-border demand: Designing smarter journeys for Hong Kong’s evolving customer base

• Understanding how local and Mainland customers discover brands differently
• Adapting digital journeys to changing travel and purchase behaviour
• Using customer behaviour to improve cross-border targeting and conversion

[Closing Panel Discussion]

The machine in the marketing department: Preparing teams for the next wave of digital transformation 

• Examining the gap between AI ambition and real marketing capability
• Building the right foundations before automation becomes everyone’s shortcut
• Reassessing what marketers must fix before AI scales the wrong habits