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AI in marketing, retail media, privacy, Australian market trends

Gen Z Loyalty Programs Are Broken. Here’s Why.

Gen Z Loyalty Programs Are Broken - Industry Trends - Trevor Services

Gen Z joins more loyalty programs than any other generation. They also abandon brands faster than any other generation. If that paradox doesn’t keep your loyalty team up at night, you’re not paying attention.

According to the Australian Loyalty Association, Gen Z consumers are 60% more likely to join a loyalty program than the global average of 43%. Sounds brilliant. Except that 32% of them have abandoned at least one brand in the past twelve months — the highest rate of any demographic. They sign up, glance around, and leave. Your program isn’t retaining them. It’s auditioning for their attention and failing.

The problem isn’t Gen Z. The problem is that most Australian loyalty programs were architected around Baby Boomer psychology: accumulate points over months, redeem occasionally, feel vaguely rewarded. That model worked when brand switching was inconvenient and choices were limited. Neither of those things is true anymore.

Why Points-Based Programs Miss the Mark with Gen Z

Here’s the number that should reframe every loyalty strategy conversation: only 51% of Gen Z consumers say money-saving benefits motivate their loyalty program engagement. Globally, that figure is 71%. Gen Z isn’t uninterested in value — they’re redefining what value means.

For older demographics, value is transactional. Spend money, get points, redeem for discounts. It’s a rational equation. For Gen Z, value is relational. They want to feel that a brand understands them, reflects their identity, and earns their trust through actions — not reward tiers.

This isn’t soft thinking. It’s backed by hard data. Research from 2025 shows 35% of Gen Z actively seek out brands based on values alignment, compared to just 15% of Baby Boomers. Nearly four in ten Gen Z shoppers have abandoned a brand specifically because its environmental or social practices didn’t meet their expectations.

If your loyalty program’s most exciting feature is a points balance, you haven’t built loyalty — you’ve built a spreadsheet that Gen Z will never open.

What Does Gen Z Actually Want from a Loyalty Program?

The answer is deceptively simple: relevance. Not relevance as a marketing buzzword, but relevance as a lived experience — communications that feel personal, rewards that match their life stage, and interactions that don’t waste their time.

Immediate Gratification Over Accumulation

Australian loyalty programs are already shifting from long-term point accumulation to instant redemption at checkout, partly driven by cost-of-living pressures. This shift happens to align perfectly with Gen Z expectations. They don’t want to save 10,000 points over six months for a $20 voucher. They want something useful now.

The streaming industry learned this lesson the hard way. Research from 2026 shows 59% of Gen Z users subscribe to streaming platforms for a single title, then cancel. The loyalty is to the content, not the platform. The same logic applies to retail: Gen Z’s loyalty is to the experience, not the card.

Friction Is a Deal-Breaker

Gen Z shows significantly higher frustration with clunky loyalty experiences than any other generation. Studies show 24% cite lengthy signup processes as a reason for disengagement (compared to 16% globally), and 28.5% point to technical errors as trust-breakers (versus 24% globally).

This generation grew up with apps that load in milliseconds. If your loyalty signup requires a physical form, a verification email, three screens of personal data, and a two-day wait for activation, you’ve lost them before they’ve earned their first point.

They’re also more comfortable with digital identification — 33% are happy providing phone numbers or emails at checkout rather than carrying a plastic card. The lesson: meet them where they already are, which is on their phones, not at your membership desk.

Is AI the Key to Gen Z Loyalty?

Here’s a stat that should shape your 2026 roadmap: 55% of Gen Z consumers say they’re more likely to join a loyalty program that uses AI. They don’t want AI for its own sake — they want the outcomes AI delivers. Better personalisation. Smarter recommendations. Offers that actually reflect their behaviour rather than a generic segment they’ve been dumped into.

This is where platforms like Trevor Services’ Trudy come in. Predictive promotional intelligence isn’t a nice-to-have for Gen Z engagement — it’s the baseline. If your program can’t personalise at the individual level, you’re sending the same offer to a 19-year-old university student and a 67-year-old retiree and wondering why response rates are flat.

How Does Genuine Gen Z Loyalty Work?

Seventy-seven percent of Gen Z say they’re willing to try new brands — the highest proportion of any age group. That sounds disloyal. It’s actually the opposite. Gen Z isn’t disloyal; they’re perpetually evaluating. Every interaction is a data point. Every experience either builds or erodes trust.

This means loyalty isn’t a program. It’s a continuous proof of value. The brands that win with Gen Z aren’t the ones with the most generous earn rates. They’re the ones that demonstrate relevance at every touchpoint.

Design for Identity, Not Transactions

Gen Z wants to feel that supporting your brand says something about who they are. Patagonia doesn’t need a points program because the brand itself is the loyalty mechanism. Most brands aren’t Patagonia, but every brand can ask: what does membership in our program say about the person? If the answer is “nothing,” that’s the problem.

Make Every Communication Earn Its Place

With 51% of loyalty program members admitting they engage with only one program despite being enrolled in several, attention is the scarcest resource. Every email, push notification, and app alert needs to deliver genuine value or risk being the reason they mentally check out. Trevor Services works with brands to build promotional campaigns that connect the right message to the right person at the right moment — because Gen Z won’t give you a second chance at a first impression.

Close the Loop Between Values and Action

If you claim sustainability matters, show proof. If you say you value your community, demonstrate it. Gen Z has a well-documented intolerance for performative marketing. The gap between what brands say and what they do has never been more visible — or more costly.

Consider the contrast: in Australia, the majority of Gen Z and Millennials say loyalty programs influence their purchasing behaviour, but only 35% of Baby Boomers feel the same way. The generational divide isn’t subtle — it’s structural. The generation that your program was designed for is the one least influenced by it, while the generation most open to being influenced is the one your program is failing to engage.

This is where working with a promotional partner like Trevor Services changes the equation. Rather than retrofitting a Boomer-era program with a Gen Z veneer — a new app skin, a few Instagram posts — the smarter play is to build engagement mechanics that treat relevance as the core currency. Promotional campaigns, loyalty experiences, and data-driven personalisation need to work together, not as separate line items on a marketing plan.

The Billion-Dollar Question for Australian Brands

Australia’s loyalty market is projected to reach approximately US$1.13 billion in 2026, growing at 13.5% annually. That’s a lot of money flowing into programs that may be structurally misaligned with the fastest-growing consumer demographic.

The brands that capture disproportionate value from this market won’t be the ones with the biggest rewards budgets. They’ll be the ones who understand that Gen Z loyalty isn’t earned through points — it’s earned through proof. Proof that you know them. Proof that you respect their time. Proof that your values aren’t just copy on an About page.

The real question isn’t whether your loyalty program can attract Gen Z. They’re already joining. The question is whether it can keep them past the first week.

Want to build a loyalty and promotions strategy that actually resonates with the next generation of Australian consumers? Talk to the team at Trevor Services.

How AI Agents Are Reshaping Marketing in 2026

How AI Agents Are Reshaping Marketing in 2026 - Trevor Services

Marketing teams have spent years building automation workflows — trigger-based emails, scheduled social posts, rule-driven ad bidding. But in 2026, a fundamental shift is underway. AI agents are moving beyond simple automation into autonomous decision-making, and Australian brands that understand the difference will have a serious competitive edge.

This article explores what AI agents actually are, how they differ from traditional marketing automation, and what practical steps brands should take to prepare for an agentic future.

What Are AI Agents in Marketing?

An AI agent is software that can perceive its environment, make decisions, and take actions to achieve a defined goal — without step-by-step human instruction. Unlike a traditional automation rule that follows a predetermined path (if customer opens email, then send follow-up after 48 hours), an AI agent evaluates context, weighs options, and chooses the best course of action in real time.

In a marketing context, this means an AI agent might analyse campaign performance data, identify that a particular audience segment is underperforming, test alternative creative messaging, reallocate budget toward higher-performing channels, and report back on results — all without a human manually adjusting each lever.

According to Capgemini research, 82% of organisations globally plan to integrate AI agents into their operations by 2026. In Australia specifically, 68% of ASX-listed companies are already utilising some form of agentic AI, driving a reported 40% increase in operational productivity across major sectors.

How Do AI Agents Differ from Marketing Automation?

Traditional marketing automation is powerful but rigid. You build workflows, set rules, and the system executes them faithfully. The limitation is that these workflows cannot adapt to unexpected changes without human intervention.

AI agents represent the next evolution. Where automation follows instructions, agents pursue outcomes. A marketing automation platform might send a promotional SMS at 10am because that is when it was scheduled. An AI agent would analyse historical engagement data for each recipient, factor in recent purchase behaviour, consider the current competitive landscape, and determine both the optimal send time and message variant for each individual customer.

From Scheduled Workflows to Self-Optimising Systems

The shift from automation to agentic AI is not about replacing your existing martech stack. It is about adding an intelligence layer on top. Trevor Services has observed this transition firsthand through its work with Australian brands — campaign orchestration platforms like Trudy are increasingly incorporating predictive intelligence that adapts promotional mechanics based on real-time consumer response patterns rather than static rules.

The practical impact is significant. Businesses that have invested in agentic approaches are reporting 20% ROI increases and 19% cost reductions compared to traditional automation, according to 2026 data from Salesforce’s State of Marketing report.

How Are AI Agents Changing Campaigns?

AI agents are transforming several core marketing functions simultaneously. Understanding where the impact is greatest helps brands prioritise their investment.

Predictive Campaign Optimisation

Rather than waiting for a campaign to run its course before analysing results, AI agents continuously monitor performance metrics and make mid-flight adjustments. This includes shifting budget between channels, pausing underperforming creative variants, and scaling winning combinations — all within parameters set by the marketing team.

For promotional campaigns, this capability is particularly valuable. A purchase-to-enter competition that traditionally required manual monitoring can now be dynamically optimised, with an AI agent adjusting promotional messaging, entry mechanics visibility, and channel distribution based on real-time participation rates.

Personalisation at Scale

Domain-specialised AI agents can now generate and optimise personalised messaging for millions of customers simultaneously. These are not simple mail-merge personalisations — they adapt tone, offer structure, and creative elements based on individual customer profiles and predicted preferences.

For loyalty programmes, this means members can receive genuinely tailored reward recommendations and engagement prompts rather than generic tier-based communications. The AI agent learns what motivates each member and adjusts its approach accordingly, improving both redemption rates and programme satisfaction.

The Data Foundation AI Agents Require

Here is the reality that many brands overlook: AI agents are only as effective as the data they can access. The most sophisticated agent in the world cannot deliver results if it is working with fragmented, incomplete, or siloed customer data.

Building an effective data foundation for AI agents involves several critical elements. First, a unified customer data platform that connects purchase history, engagement data, loyalty programme activity, and promotional participation into a single customer view. Second, real-time data pipelines that feed current information to the agent rather than day-old batch reports. Third, clean, well-structured data with consistent identifiers across channels.

This is where many Australian brands are finding that their existing promotional and loyalty platforms play a crucial strategic role. Platforms such as Trudy from Trevor Services are designed to capture and unify first-party data across promotional touchpoints, creating the kind of rich, real-time data environment that AI agents need to function effectively.

The shift toward first-party data has become even more urgent as the cookieless era takes hold. With third-party cookies fully deprecated across all major browsers, brands that have invested in consent-driven data collection through promotions, loyalty programmes, and direct customer engagement are finding themselves far better positioned to leverage AI agents than those still relying on third-party data.

Risks and Considerations for Australian Brands

Adopting AI agents is not without challenges. Australian brands need to consider several factors before diving in.

Privacy and compliance remain front of mind. Australia’s evolving privacy landscape, including anticipated reforms to the Privacy Act, means that any AI agent operating on customer data must be designed with privacy-by-design principles. Consent management, data minimisation, and transparency about how AI is being used to make decisions are not optional — they are essential.

There is also the question of human oversight. While AI agents can operate autonomously, the most successful implementations maintain what the industry calls “human-in-the-loop” governance. Marketing teams set the strategic parameters, define acceptable risk thresholds, and retain the ability to override agent decisions when necessary. Complete autonomy without guardrails is neither advisable nor what most enterprise-grade platforms offer.

Finally, brands should be realistic about implementation timelines. Moving from traditional automation to agentic AI is a journey, not a switch. It typically begins with narrow, well-defined use cases — such as automated bid management or dynamic content selection — before expanding to broader campaign orchestration.

What Should Australian Brands Do Now?

For marketing managers and CMOs evaluating their AI readiness, the priority actions are clear. Start by auditing your data infrastructure to determine whether you have the unified, real-time customer data that AI agents require. Identify one or two campaign functions where agentic AI could deliver measurable improvement — promotional optimisation and loyalty personalisation are strong starting points for most brands.

Invest in platforms and partners that are building agentic capabilities into their core offering rather than bolting on AI as an afterthought. And importantly, upskill your team to work alongside AI agents — the future marketing professional is not replaced by AI but rather becomes the strategist who directs and governs autonomous systems.

The AI marketing industry is projected to grow from $47.32 billion in 2025 to $107.5 billion by 2028. Australian brands that build their agentic foundations now will be the ones capturing disproportionate value as the technology matures.

Looking to explore how AI-powered promotional intelligence could work for your brand? Get in touch with the Trevor Services team to see how Trudy is helping Australian brands stay ahead of the curve.