Summit agenda is subject to change.
Lin Duan, Head of Events, The MarTech Summit Team @ BEETc
– The common pitfalls of being overly “data-driven” in marketing
– What it means to adopt a decision-first approach to analytics
– Real examples from GCash: uplift modeling, A/B testing, and insight frameworks
– How to ask better questions to get more actionable insights
– Ways to make your MarTech stack work harder by focusing on what really matters
– How has your understanding of digital transformation evolved over time, and what triggered the biggest mindset shift?
– How do you measure success beyond traditional ROI, what cultural or behavioral shifts tell you transformation is taking root?
– What’s Your Vision for the Future of AI-Powered Marketing? How are you balancing emerging AI opportunities with a human-centered marketing vision?
– How would you describe the current level of collaboration between marketing, sales, and other functions in your organisation? What are the biggest gaps you’re seeing today?
– What are the most effective ways to align marketing, sales, and customer success teams around shared revenue and customer journey goals?
– How can organisations overcome resistance to collaboration and shift from a siloed mindset to a customer-centric culture?
– Discover actionable strategies for breaking down departmental silos and creating a culture of collaboration, what tools or technologies have helped your teams collaborate better across functions, and how do you measure their impact?
– How has the role of the physical store changed in your category in the e-commerce era?
– How are you creating a seamless online + offline customer journey?
– How do you scale during demand peaks like holidays, sales campaigns, or viral moments
– How do you leverage data to respond to changing consumer behaviors?
– What’s one piece of advice you’d give to brands trying to future-proof their e-commerce strategy?
– How has AI transformed the personalisation landscape, and what are the most impactful use cases today? How can organisations leverage AI-driven personalisation in day-to-day customer engagement?
– What are the key challenges businesses face when implementing personalisation strategies, and how can these be effectively overcome?
– Where should companies begin their personalisation journey, how can they scale it over time, and what does “next-level” personalisation look like?
– Biggest drivers of change in current landscape of digital content strategy.
– How to deal with the next generation (e.g. Gen Z, Gen Alpha) engagement?
– Challenges in evolving digital content strategy, and Factors of its success
– Metrics and success for content marketing / brand engagement
– How AI and marketing automation are transforming the MarTech landscape in South East Asia.
– The strategic role of Customer Data Platforms (CDPs) in unifying data and enabling hyper-personalised experiences.
– Key innovations driving customer engagement and shaping the region’s digital future.
– How do you break down data silos to create connected customer experiences?
– How do you balance personalisation with privacy?
– How do you blend data and human touch to build loyalty?
– Where has AI made the biggest impact so far on your engagement strategy?
– How do we know if we’re over investing in marketing, and what data helps us decide?
– How do we build a marketing culture that avoids wasted investment and aligns with business goals?
– What are the internal barriers to using analytics well, and how have you overcome them?
– How is AI reshaping the marketer’s role—from tactical execution to strategic decision-making?
– What are the most effective ways to use conversational and voice AI to enhance customer engagement at scale?
– How can non-creative teams leverage AI to generate platform-specific content that still feels personalised?
– In what ways can AI-driven insights from 1st-party data improve targeting, budget allocation, and campaign performance?
– How are you winning Gen Z’s attention?
– What does authenticity look like today?
– How are you building loyalty with Gen Z & Gen Alpha?
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