Warehouse

From Warehouse to Action

As AI reshapes the modern marketing stack, many organisations face the same challenge: How do you make warehouse data truly usable for the teams responsible for growth?

18:30 - 21:30 GMT
In Person AI-Driven Marketing Warehouse Investment

As AI reshapes the modern marketing stack, many organisations face the same challenge:

How do you make warehouse data truly usable for the teams responsible for growth?

Customer data platforms, data warehouses, and AI tools promise transformation - but too often the reality includes slow cycles, endless tickets, inconsistent definitions, and activation friction.

Join a select group of senior B2C marketing, data and technology leaders for a private, closed-door dinner in Mayfair to explore one practical questions:

How can organisations translate warehouse investment into measurable outcomes - conversion, retention, lifetime value, and CAC efficiency?

 

Key Discussion Topics:

If You Could Remove One Bottleneck Tomorrow..

Tickets, slow cycles, inconsistent definitions, identity gaps, activation friction. Which one most limits impact today - and what operating model or tooling change would actually fix it?

What Does "Activation-Ready" Data Look Like?

For marketing and CRM teams to confidently self-serve, certain foundations must exist. What minimum standards need to be true in your organisation?

  • Identity resolution
  • Freshness and near real-time signals
  • Consent-aware permissions
  • Business-friendly definitions
  • Self-serve audience creation

Where Does Value Leak Between Warehouse and Channels?

Many organisations invest heavily in data platforms but struggle to translate them into measurable outcomes.

Where does the biggest gap exist today?

  • Audience creation
  • Suppression logic
  • Journey triggers
  • Personalisation
  • Measurement and attribution
  • Or simply speed to executive

What should you measure first to prove value - incrementality, CAC efficiency, LTV, or churn reduction?

AI Is The Headline - What's the Real Prerequisite?

AI promises decision-making at scale: next-best-action, predictive insights, automated journeys. But most organisations still lack the foundation required to make AI operational. 

What is the one prerequisite that must be solved first?

  • Trusted identity
  • Usable business semantics
  • Real-time signals
  • A flexible integration/API layer
  • Clear operational ownership

 

Featured Speakers

Thierry Sequeira - CEO, Massive Rocket

Thierry is a global leader in modern customer engagement and loyalty, with deep expertise in the Quick Service Restaurant (QSR) sector.

Over the past two decades, he has led digital transformation initiatives for global brands including Yum! Brands, Restaurant Brands International, Dominos, Papa Johns, GoPuff, and Just Eat Takeaway.

 

Projjol Banerjea - Founder & Chief Product Officer, Zeotap

Projjol leads Zeotap's mission to transform fragmented enterprise data into secure, operational customer context. 

His work focuses on bridging the gap between complex technical infrastructure - identity, data architecture, and governance - and real-time business outcomes.

He has helped global brand including Sky, Virgin Media O2, and FC Bayern Munich modernise customer engagement across digital and physical channels.

Projjol is also co-founder of the women's wellness company Nua and Chair of the National Youth Jazz Orchestra. 

 

Requestion an Invitation

Attendance is strictly limited to maintain a high-quality peer discussion.

Register your interest below to join fellow leaders in London for an evening exploring how to turn warehouse data into measurable marketing impact in the age of AI.

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