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Marketing In Asia > Blog > Press Release > Australian Loyalty Association Launches Education Series on Loyalty Economics, AI and Behavioural Science to Help Leaders Navigate Economic Uncertainty
Press Release

Australian Loyalty Association Launches Education Series on Loyalty Economics, AI and Behavioural Science to Help Leaders Navigate Economic Uncertainty

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Last updated: 2026/04/14 at 10:21 AM
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The Australian Loyalty Association has announced the launch of a new executive education series designed to strengthen loyalty and marketing leaders’ ability to respond to rapid shifts in consumer behaviour in an increasingly uncertain economic environment. 

Across global markets, businesses are entering a period of heightened uncertainty. Rising interest rates, increasing fuel costs and shifting job market dynamics are placing pressure on household spending, resulting in more cautious consumer behaviour and greater scrutiny of marketing investment. According to recent research from the Australian Loyalty Association, 52% of Australians say their household budget is under significant pressure, with that number expected to rise as economic conditions tighten. At the same time, 86% of Australians report actively using cost-saving techniques, including switching to home brands, buying on promotion and comparing prices more frequently. 

Recent media coverage has also highlighted rising cost pressures, with inflation expected to creep back towards 5%, while fuel prices have surged, with unleaded petrol exceeding $2.40 per litre in many markets, up from around $1.80 just weeks earlier. 

These conditions are accelerating changes in consumer behaviour and increasing price sensitivity and brand switching. They also make it more important than ever for organisations to demonstrate that their loyalty strategies are delivering measurable commercial value. 

During these volatile times, when understanding why customers stay, advocacy is more important than ever. The Association’s new Education Series will explore the intersection of loyalty economics, artificial intelligence and behavioural science, three disciplines reshaping how organisations build lasting customer relationships. 

Participants will gain practical insights into how loyalty programs influence behaviour, increase customer lifetime value and strengthen brand advocacy. The courses are designed to equip leaders with the tools to design smarter, more effective loyalty strategies in a rapidly evolving commercial landscape. 

The Loyalty Economics course focuses on helping leaders quantify the financial impact of loyalty initiatives. Participants will explore incremental revenue modelling, program profitability, 

liability management, customer lifetime value and the financial frameworks needed to communicate program performance to boards and senior leadership. 

“During periods of economic instability, loyalty programs come under greater scrutiny,” said David Parsons, CEO of Ellipsis, Australian Loyalty Association Board Member and course leader. 

“Boards and executive teams are increasingly asking a simple but critical question: what measurable value is this program delivering to the business? 

“The ability to demonstrate incremental revenue, behavioural change and long-term customer value is no longer optional. It is essential.” 

Alongside financial accountability, the rapid acceleration of AI and emerging technologies is reshaping how brands engage customers. 

The Australian Loyalty Association research indicates more than 40% of consumers are willing to use AI tools to speed up shopping decisions and identify better value, highlighting how quickly AI-assisted discovery is entering everyday purchasing behaviour. 

The Association’s Agentic Commerce and AI course explores how organisations can prepare for the next wave of AI-driven commerce, where autonomous agents increasingly assist consumers with purchasing decisions, recommendations and brand interactions. The course examines how loyalty strategies must evolve to remain relevant in a world of AI-mediated customer relationships. 

“AI is not simply another technology layer. It is reshaping how consumers discover, evaluate and interact with brands,” said Sarah Richardson, CEO of the Australian Loyalty Association. 

“As more consumers begin using AI to compare prices, identify promotions and make faster purchase decisions, organisations that understand AI discovery and emerging agentic commerce models will be far better positioned to compete.” 

Complementing the economic and technological focus, the Association’s Behavioural Science course explores the human factors that underpin effective loyalty design. 

Drawing on behavioural economics and cognitive psychology, the course examines how motivations, biases and decision-making frameworks influence customer behaviour, and how organisations can design loyalty experiences that drive meaningful engagement. 

“Technology and data are powerful, but loyalty ultimately comes down to human behaviour,” Richardson said. 

“Understanding the psychological drivers behind engagement is critical if programs are going to deliver sustained impact,” said Dan Monheit, behavioural science expert and Chief CX Thinker at Thinkerbell. 

The new education series brings together leading practitioners, academics and industry experts to provide practical insight into the disciplines shaping the future of loyalty strategy. 

The courses are designed for loyalty leaders, marketing executives, CX professionals and senior decision-makers responsible for customer engagement and growth. 

“With customer expectations changing rapidly and economic pressures mounting, organisations need stronger capabilities in loyalty economics, emerging technology and behavioural design,” Richardson said. 

“These courses are about equipping the industry with the knowledge and tools needed to build programs that deliver real, measurable value.” 

The first courses in the series will run on 22–23 April 2026 in Sydney and online.

Legal Disclaimer: The Editor provides this news content "as is," without any warranty of any kind. We disclaim all responsibility and liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. For any complaints or copyright concerns regarding this article, please contact the author mentioned above.

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