If your loyalty strategy can be copied, it’s not a strategy.

Banking loyalty is shifting, from visible rewards and campaign mechanics to predictive relationship engineering. A small group of senior banking leaders in Malaysia will come together to explore what this shift means in practice and how to act on it.

Why Attend

This is not a product session. It’s a strategic discussion focused on outcomes. Walk away with:
  • A clearer view of where loyalty is losing impact Understand why traditional models are struggling to create meaningful differentiation.
  • A framework for identifying and growing high-value customers Learn how leading banks are focusing on relationship depth, not just product penetration.
  • A practical perspective on predictive decisioning See how real-time signals, propensity models, and next best actions can influence outcomes earlier.
  • Ways to improve growth without eroding margin Explore how incentives and engagement can be optimised based on value, risk, and potential.
  • A more connected approach across channels and teams From digital journeys to relationship managers and service interactions.

Who Should Attend

This session is curated for senior decision-makers responsible for growth, customer strategy, and transformation: CMOs, CIOs, Heads of Retail Banking, Digital, Data/Analytics, Wealth, and CX.

Event Details

Date: 16 July 2026, Thursday
Time: 8:00 AM (GMT +8)
Venue: ​​Hotel Maya, Kuala Lumpur City Centre

This is a limited, invitation-led session.

If you’re exploring how to move beyond traditional loyalty models and build more predictive, high-value customer relationships, we’d welcome your participation.

Register by filling out the form.

Agenda

The Future of Relationship Banking
(30 mins)
  • Why Banking Loyalty is Broken
  • The Power Client Economy
  • The 2nd Mechanism in Banking
  • The Predictive Core
  • The Orchestration Layer
  • Engineering Outcomes
  • A Day in the Life of a Predictive Bank
  • Demo Flow: Detection → decision → orchestration → invisible loyalty
  • Guided questions and interactive discussion
  • Summary of discussion and key takeaways
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