Kicking off with an overview of the latest MarTech trends, global market stats & insights by The MarTech Summit Team.

– Marketers have long promised personalised digital experiences, but rarely deliver on that promise due to outdated MarTech stacks.
– New composable architectures are providing the foundation needed for unifying customer data to deliver holistic experiences.
– New Agentic Marketing Platforms can leverage customer data foundations to empower marketers to improve and expedite the marketing campaign process.
– The combination of these new technologies will help marketers finally deliver the right message to the right customer at the right time!

– What does a genuinely AI-native marketing workflow actually look like?
– How are your teams actually governing AI outputs, to make sure strategic direction and compliance don’t slip through the cracks?
– When AI is handling data, optimisation, and content at scale, what does the human role become, and how do you prepare and educate your teams?

– Move beyond traditional attribution models toward agent-led measurement combining MMM, MTA, and incrementality without enterprise-level complexity
– Discover how AI agents automate data science workflows — from exploratory analysis to model calibration — delivering faster, more reliable marketing insights
– Enable conversational analytics through semantic layers and AI co-pilots, allowing marketers to interrogate performance data and make confident budget decisions in real time.

– Why AI experimentation often fails to drive real operational change
– Individual productivity vs system-wide workflow transformation
– Avoiding bottlenecks caused by disconnected AI tools
– Practical approaches to scaling AI impact across marketing operations

– Adapt to shifting customer expectations and an expanding channel landscape while maintaining strategic clarity
– Strengthen cross-channel orchestration to improve performance and deliver connected customer experiences
– Align teams, measurement, and execution to drive measurable business impact in an increasingly complex marketing environment.

– As AI adoption accelerates, how are you evolving your marketing operating model and team capabilities to drive measurable business impact rather than just efficiency gains?
– With growing pressure to prove ROI, how are you prioritising AI and MarTech investments that genuinely contribute to pipeline, revenue, and long-term growth?
– What are the biggest challenges you still face around attribution and proving marketing effectiveness across the funnel, and how are you addressing them?

– How AI orchestration is reshaping the Growth Marketing playbook across the buyer journey
– Why GTM context is the missing layer that turns generic AI tools into truly impactful systems
– A practical blueprint to transition from manual execution to autonomous AI orchestration.

– How can brands increase their chances of being recommended by AI agents and answer engines?
– What content, data, or authority signals matter most when customers rely on AI-led discovery?
– How should SEO and brand strategy evolve when the customer journey becomes less visible and less linear?

– Why impact doesn’t happen in the feed — it happens in the brain.
– How to stop the thumb in under two seconds.
– How to activate your brand, even without a logo.
– How to trigger emotions and aid comprehension, even for silent, fast-scrolling viewers.
– How to drive action with the 3–5 second playbook.

– Moving beyond fragmented MarTech: Learn how connected platforms can unify data, teams, tools, and channels to improve marketing speed, consistency, and customer experience.
– Embedding AI across the workflow: Explore how agent-driven systems can optimise campaigns end-to-end, turning AI from a productivity tool into a strategic capability.

– What customer journey insight or data point completely changed how your organisation approaches growth or conversion today?
– Many companies talk about being ‘customer-centric’, but where do journeys still break down internally between teams, platforms, or KPIs, and how have you tackled that in practice?
– From your perspective, what is currently working well, and what still isn’t working, between sales and marketing in driving growth?

– Why most personalisation strategies fail to deliver real impact
– Shift from static segmentation to adaptive, real-time experiences
– Align data, tech, and teams to remove fragmented journeys
– Scale personalisation without adding complexity
– Turn personalisation into measurable growth and performance outcomes.

– What stage is your organisation at in evolving its demand generation strategy and capabilities today?
– What approaches have you seen work best for aligning these channels, improving performance, and proving ROI and profitability impact?
– How do you prioritise the accounts most likely to drive pipeline and revenue impact?

– Discover how predictive AI can learn, decide, and execute in real time across customer journeys
– Enable marketers to activate AI-driven decisions at scale without relying on data science teams
– Move beyond insight generation toward autonomous marketing execution
– Build trust, governance, and performance with AI that continuously optimises engagement and outcomes.

– What are the biggest factors within Modern Marketing Organisations?
– Can you share a specific example of where your marketing operating model had to change to support business growth, and what actually made the biggest difference?
– Most companies say they want alignment between marketing, product, tech, and sales, but where does friction still genuinely exist inside your organisation, and how are you tackling it?
– What’s one workflow, process, or automation your team introduced that significantly improved speed, efficiency, or impact and what did you learn from implementing it?

Extend the day’s conversations over an exclusive dinner – invitation only.