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Summit agenda is subject to change.
– How to prioritise retention to reduce acquisition pressure and unlock compounding value from existing customers.
– How to detect early churn risks and trigger personalised, multi-channel retention campaigns using behavioural data.
– How to use behavioural and contextual signals to identify the right moments for timely, relevant engagement.
– How to coordinate personalised messaging across channels without creating fragmented or repetitive customer experiences.
– How to measure the impact of real-time engagement on retention, loyalty and customer lifetime value.
– How to build a unified orchestration vision that aligns marketing, data, and tech teams around customer-centric triggers.
– How to integrate CDPs, APIs, and automation tools to trigger real-time actions based on behavioural and contextual data signals.
– How to unify fragmented customer signals and identities into trusted, AI-ready data that models and agents can actually understand and use.
– How to embed consent, privacy and data governance into the customer data foundation without slowing down innovation or creating additional silos.
– How to design an interoperable customer data layer that connects warehouses, MarTech platforms and AI ecosystems, enabling brands to evolve their technology stack without being locked into a single platform.
– Move beyond functional journeys and build emotionally resonant experiences that deepen loyalty and brand connection.
– How to incorporate emotional drivers into personalisation to create memorable, brand-defining customer experiences across key touchpoints.
– How to capture, interpret, and act on emotional signals using first-party data, sentiment tools, and AI modelling.
– Learn how Thai brands are using Generative AI to scale content, personalise messaging, and improve speed-to-market
– Explore practical use cases across campaign creation, customer communications, and internal workflows
– Understand how to measure impact across efficiency, engagement, and revenue
– Move beyond reporting to turn marketing data into insights that drive real business decisions
– Learn how leading brands connect analytics to optimisation, forecasting, and ROI measurement
– Understand how to align marketing metrics with commercial outcomes that leadership cares about
A relaxed networking buffet, giving attendees time to connect and recharge between sessions.
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Private Lunch Roundtable (Invite-Only): Bring together senior MarTech leaders for a curated, topic-driven discussion over lunch in an intimate setting.
Host a Private Lunch
– How to maintain brand integrity across touchpoints by embedding clear guidelines, systems, and creative alignment across teams.
– How to implement content governance tools and modular design systems to ensure consistency at scale and speed.
– Customer Intelligence powers the middle, connecting data, AI and decisions with teams and touchpoints that
make up the marketing ecosystem. It turns fragmentation into flow and complexity into confidence.
– When the middle works, marketing works.
– Learn how social platforms and creators influence real purchase decisions, not just engagement
– Discover how brands convert social trust into sales, foot traffic, and repeat local spend
– Understand how to connect social activity with commerce, CRM, and loyalty programmes in Thailand
– Understand why Thai consumers choose to spend locally or cross the border and what influences those decisions
– Learn how data, personalisation, and experience design can shift spending behaviour back to Thailand
– Explore how loyalty, partnerships, and ecosystem strategies help brands retain local spend
– How to align transformation goals with business impact to gain executive buy-in and drive stakeholder collaboration.
– How to phase out conventional systems while maintaining data integrity and enabling seamless integration with modern platforms.
– How to attract qualified leads by delivering tailored value exchanges that align with audience intent and lifecycle stage.
– How to apply lead scoring and behaviour signals to prioritise follow-up and personalise nurture paths across channels.
– Why large volumes of customer data do not automatically translate into AI readiness, and where organisations typically get the foundation wrong.
– How to establish trusted data through quality, governance, consistent definitions and scalable architecture before deploying AI at scale.
– How data leaders can connect AI investment to measurable business outcomes rather than treating data and AI transformation as purely technical initiatives.
– Why large volumes of customer data do not automatically translate into AI readiness, and where organisations typically get the foundation wrong.
– How to establish trusted data through quality, governance, consistent definitions and scalable architecture before deploying AI at scale.
– How data leaders can connect AI investment to measurable business outcomes rather than treating data and AI transformation as purely technical initiatives.
– How can marketing leaders determine whether AI investments are creating meaningful business value rather than simply increasing experimentation?
– What are the biggest barriers preventing teams from adopting AI consistently, and how can leaders overcome them?
– What practical approaches can organizations use to embed AI into everyday marketing workflows and drive sustainable integration across teams?
– How can marketing leaders determine whether AI investments are creating meaningful business value rather than simply increasing experimentation?
– What are the biggest barriers preventing teams from adopting AI consistently, and how can leaders overcome them?
– What practical approaches can organizations use to embed AI into everyday marketing workflows and drive sustainable integration across teams?
– Legal Landscape for Children’s Data: What legal obligations should businesses be aware of when handling children’s personal data, and how can they determine when parental consent or other safeguards are required?
– What Does Good Practice Look Like? How are businesses implementing practical measures such as age verification, parental consent, privacy-by-design, and other safeguards when collecting and managing children’s personal data? Through practical examples and real-world case studies, this session will explore how organizations are translating legal requirements into effective and responsible business practices.
– Enforcement Trends: What lessons can businesses learn from recent enforcement actions, and what common compliance pitfalls are attracting regulatory attention?
– Legal Landscape for Children’s Data: What legal obligations should businesses be aware of when handling children’s personal data, and how can they determine when parental consent or other safeguards are required?
– What Does Good Practice Look Like? How are businesses implementing practical measures such as age verification, parental consent, privacy-by-design, and other safeguards when collecting and managing children’s personal data? Through practical examples and real-world case studies, this session will explore how organizations are translating legal requirements into effective and responsible business practices.
– Enforcement Trends: What lessons can businesses learn from recent enforcement actions, and what common compliance pitfalls are attracting regulatory attention?
– How to decide between packaged CDPs, composable architectures, cloud data platforms and hybrid approaches based on real business requirements.
– How zero-copy, APIs and interoperability are changing how customer data moves between warehouses, MarTech platforms and activation tools.
– How to reduce duplicate data, integration complexity and technology costs while keeping the architecture flexible for future use cases.
– How to decide between packaged CDPs, composable architectures, cloud data platforms and hybrid approaches based on real business requirements.
– How zero-copy, APIs and interoperability are changing how customer data moves between warehouses, MarTech platforms and activation tools.
– How to reduce duplicate data, integration complexity and technology costs while keeping the architecture flexible for future use cases.
– How brands can collaborate with partners, publishers, retailers and other data ecosystems without exposing sensitive customer information.
– Where clean rooms, data sharing and enrichment can create meaningful value across audience insights, media activation and measurement.
– How to determine which data partnerships genuinely create incremental business value rather than simply adding more data.
– How brands can collaborate with partners, publishers, retailers and other data ecosystems without exposing sensitive customer information.
– Where clean rooms, data sharing and enrichment can create meaningful value across audience insights, media activation and measurement.
– How to determine which data partnerships genuinely create incremental business value rather than simply adding more data.
