An agenda built through deep collaboration with our community to ensure every session delivers substance over soundbites. You’ll hear from true subject matter leaders via candid case studies, collaborative roundtables, and varied panel discussions —providing clarity on what’s driving success across the marketing landscape.
- Accelerate audience growth by replacing paid interruption with earned engagement through creator partnerships and owned digital ecosystems.
- Drive stronger campaign performance by unifying creative instinct and data intelligence into a single decision-making framework that informs every investment.
- Embed responsible AI across the marketing function to personalize at scale without compromising brand trust or consumer confidence.
Jane Wakely, EVP, Chief Consumer and Marketing Officer and Chief Growth Officer International Foods, PepsiCo
- Transform customer engagement at scale by replacing rules-based segmentation with AI decisioning models that respond to intent, context, and behaviour in real time
- Build accountable decisioning at enterprise scale without a governance bottleneck
- Drive measurable revenue growth through AI that closes the last mile of personalization: from signal detection to autonomous, auditable action
Jamie Domenici, Chief Marketing Officer, Klaviyo
Frank Freeman, Vice President, AI & Digital Disruption, Dermalogica
- Drive sustainable brand growth by anchoring every campaign decision in long-term brand equity rather than short-term conversion metrics
- Close the measurement gap by building frameworks that track brand health and emotional loyalty alongside traditional campaign performance
- Forge authentic Gen Z connection by designing singular, unrepeatable experiences that generate cultural resonance through craft and considered restraint
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Renée Horne, Chief Marketing & Experience Officer, Chase Auto, JPMorgan Chase & Co
Kathleen Dunlop, EVP Future of Marketing & Marketing Capabilities, Unilever
Jennifer Brain-Mennes, VP, Global Head of Digital Marketing & Strategy, Mondelēz International
- Build a defensible prioritisation framework that separates what stops, what is protected, and what gets rebuilt before the next budget review forces the decision for you
- Deliver sustained performance by reallocating spend across channels without destabilising brand equity or pipeline momentum
- Strengthen leadership credibility by converting lessons from cuts that backfired into a repeatable, board-ready investment protection playbook
Louisa Wee, Chief Marketing Officer, Strava
Lindsay Barrett, VP of Data Driven Marketing, Mars Pet Nutrition
- Discover how to realize immediate value from AI investment by starting with the tools and workflows already inside your martech stack, without replacing existing systems
- Learn how teams like AWS and T-Mobile are achieving results such as page creation up to 20x faster and campaign launch effort reduced from over 1,000 cumulative hours to 80, with QA and human oversight
- Turn early wins into board-ready ROI proof that secures investment for broader adoption and builds the foundation for an AI-native marketing organization
Lynn Girotto, CMO, Gradial
- Accelerate time-to-decision by redesigning the insight pipeline to deliver confident, actionable outputs without defaulting to the longest possible research cycle
- Build a blended intelligence model that combines traditional research with AI-driven and real-time inputs, so your team acts on current signal, not last quarter's data
- Eliminate the internal friction between insight, marketing, and compliance that slows decisions down and erodes the commercial value of research before it ever reaches the brief
Ken Muench, Chief Marketing Officer, Yum! Brands
Lisa Vortsman, Chief Marketing and Innovation Officer, The Magnum Ice Cream Company
Khalid El Khatib, Chief Marketing Officer, Consumer Reports
Manny Cabral, SVP, Marketing Analytics, First Horizon Bank
- Drive revenue recovery by mapping friction across targeting, fulfilment, ticket routing, and sales handoffs to locate exactly where customer journeys break down and value is lost
- Prioritise the highest-impact AI opportunities by determining which agents, assistants, and automation capabilities can improve engagement, accelerate conversion, and drive measurable growth at every stage of the customer lifecycle
- Equip your team with an actionable autonomous growth roadmap built around your highest-priority strategic goals and the capabilities you can deploy today
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Pauline Passley, Senior Solution Advisor, SAP
- Accelerate brand discovery by mapping how AI systems select, synthesize, and represent your brand in generated answers, closing the gap before a customer ever reaches your owned channels
- Unlock the customer intelligence hidden in short-form video by capturing visual behaviors, creator narratives, and emerging cultural trends that text-centric listening programs consistently miss
- Build the measurement frameworks and team capabilities to influence brand perception across AI-mediated discovery, video platforms, and the channels that now shape purchase decisions before your marketing begins
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Erin Henry, Sr. Solutions Consultant, Sprinklr
- Anchor your brand to what you can genuinely stand on, and design every touchpoint for the person behind the purchase rather than the revenue target
- Drive lasting loyalty by rebuilding around discovery instead of the sale, and by putting real people at the center of your storytelling
- Prove the value of hard-to-measure investments like experiential and emerging content platforms by tracing their impact to repeat purchase and lifetime value
- Use automation and ML to scale personalization while keeping the human voice, taste, and conviction that no algorithm can replicate
Simona Shakin, VP, Product & Retention Marketing, Etsy
The single-player AI trap: How AI adoption is making marketing teams more siloed & the only way to break out
- Scale AI across marketing without sacrificing collaboration, brand consistency, or creative alignment by giving teams shared rules and ways of working from the start
- Help marketing teams move faster together by replacing isolated AI use with multiplayer workflows that preserve shared context and improve team output
- Turn individual AI productivity gains into measurable business impact by giving the entire marketing organization a coordinated way to work with AI
George Huff, CEO, Opal
- Forge a distinctive brand narrative that cuts through by anchoring storytelling in human insight, cultural relevance, and the emotional depth that AI can amplify but never originate
- Strengthen brand equity and consumer trust by establishing the governance model that balances AI-driven content efficiency with the transparency, authenticity, and values-led positioning that build long-term loyalty
- Deliver an enterprise-wide storytelling capability by deploying AI to accelerate creative execution and channel consistency while preserving the human creative intelligence that translates brand narrative into measurable revenue impact
Zena Srivatsa Arnold, Chief Marketing Officer, Sephora
Alison Payne, Chief Marketing Officer, Heineken USA
Kelsey Agostinelli, VP Marketing Operations, Mars
- Transform constrained teams into high-output units by redesigning accountability structures around impact, not headcount or historic role design
- Optimise your tech stack by separating the tools that genuinely free capacity from those that add invisible friction and slow execution down
- Build a resilient team culture that sustains marketing performance through consolidation without depleting the talent that drives it
Sherina Smith, Chief Marketing Officer, American Family Insurance
Shelley Diamond, Chief Marketing Officer, UNICEF USA
Pam Piligian, Chief Marketing Officer, SVP, Navy Federal Credit Union
- Reframe brand strategy to capture AI-mediated discovery before the human buyer ever reaches your homepage or your competitor's
- Build the content structures, authority signals, and data integrity that LLMs use to evaluate, shortlist, and recommend brands at scale
- Drive measurable marketing ROI by aligning brand investment to the algorithmic layer where pre-purchase decisions are now made on your buyer's behalf
Chris Andrew, CEO and Co-founder, Scrunch
