A burger crossover with a globally recognised entertainment IP gives consumers a reason to visit beyond hunger. A limited-edition chip flavour turns an everyday snack into something people seek out and share. A pair of sneakers, through design and cultural storytelling, becomes identity expression rather than footwear.

The pattern: products are no longer competing only through what they do. Increasingly, they compete through the meaning they carry, the experiences they create and the connection they build.

For decades, competitive advantage meant functional superiority - better taste, stronger performance, higher quality, lower price. That advantage is becoming harder to sustain: as manufacturing, supply chains and technology mature, functional differences narrow across categories, and innovation is easier to replicate and harder to defend.

The mechanism is speed, not scarcity: a feature that once took a competitor eighteen months to match now takes a single sourcing cycle, so the functional lead a product launches with is often gone before its growth curve has peaked. Around 25% of new products are no longer bought a year after launch, rising to 40% within two years (Marketing Letters, 2021) - novelty alone rarely holds attention, or spend, for long.

For growth, the implication is direct: the revenue captured in the first year after launch is often the revenue a brand will ever see from function alone. What happens after that depends on something else entirely.

The strategic question is changing. It is no longer only about creating a better product - it is about creating products that earn attention, create meaning and remain relevant beyond the moment of purchase.

Redefining product value beyond function

Products have traditionally existed to fulfil needs. Increasingly, the most valuable ones do more: they become expressions of identity, carriers of culture and platforms for connection. When a product carries a story, consumers aren't just buying an item - they're choosing what it represents.

A superior product once created its own momentum through word of mouth, because functional differences were meaningful and defensible.

Competing only on "tastier", "more durable" or "more comfortable" tends to produce incremental improvement, not meaningful differentiation. The opportunity is to expand what a product delivers:

• Products as cultural assets: vehicles for stories, ideas and cultural meaning. A burger crossover is valuable not just as food, but as a connection to a broader cultural moment. In food and grocery, 38% of consumers say they're more likely to buy a product labelled "limited edition" - the highest of any category tested, ahead of phones and accessories at 23% (YouGov, 2024)

• Consumption as an extended experience: value created through how consumers discover, purchase, share and remember a product, not just the product itself. New launches built around collaborations and strong narratives drove an 18% increase in total sales for 2023's top-performing new CPG products, against 11% growth the year before (Circana, 2024). The mechanism isn't heavier media spend - it's converting attention that already exists in culture into a transaction, which is why the uplift shows up in sales, not just awareness

Products are no longer simply outputs for consumption. They are strategic assets that earn attention, strengthen affinity and build lasting connection.

Redefining growth through demand creation

Growth used to run on supply-side advantage: more stores, more distribution, more portfolio breadth, backed by the assumption that functional superiority would drive choice. That assumption is becoming less reliable.

As supply increases and markets mature, availability alone creates less differentiation. Analysis of 872 brands over 2006-2022 found meaningful difference accounted for 35% of brand share performance, against just 0.6% for salience alone (Kantar BrandZ / Oxford Saïd Business School, 2023) - being different, not merely visible, is what drives growth now.

A limited-edition product or a distinctive brand experience may not change the product itself, but it changes the reason consumers choose it - and the reason determines whether a purchase repeats, what price it commands and how far it travels through word of mouth. That's the mechanism connecting demand creation to revenue: it doesn't just add a spike at launch, it lifts the ceiling on what the product earns across its whole life.

The implications for brands:

• Products need to create more than transactions: earning attention, relevance and preference

• Meaning becomes part of product strategy: storytelling and experience designed in from the start, not added after

• Demand creation becomes a growth engine: attracting attention and building connection beyond the initial purchase

The future of growth won't come only from selling more products - it will come from products that generate more value over time.

Extending product value through digital experience

Cultural relevance doesn't create lasting value automatically - brands need a way to extend it beyond the moment of purchase. That role belongs to the Digital Product: the website, app, membership platform, ordering system or digital ecosystem built around the physical product.

Digital Products were historically operational tools, used to display, transact and track loyalty. Their strategic role has since broadened. Repeat customers already spend around 67% more per transaction than first-time buyers, and the top 5% of customers generate roughly 35% of total revenue (Smile.io, 2025) - most of the value sits in the ongoing relationship, not the first sale.

For a growth agenda, this reframes where effort belongs: replacing a churned customer costs more than deepening the relationship with one already spending - the lever a Digital Product is built to pull.

A Digital Product is becoming the infrastructure that extends value, deepens connection and continuously learns from behaviour, across four shifts:

Beyond what's available: why a product matters

Digital channels used to answer "what is available". Consumers now also want to know why a product matters - the idea behind it, the story that shaped it. Advertising creates a moment of awareness; a Digital Product carries meaning throughout the journey.

Consumers as co-creators

Brand communication used to be one-directional. Consumers now discover, review, recommend and share within their own communities - among younger Australians, 65% say friends are a crucial influence on what they buy, and 59% look to friends over influencers for inspiration (Snapchat / Crowd DNA, 2024).

Digital Products create deeper involvement through exclusive access, early releases and membership experiences. The value isn't interaction itself - it's stronger attachment to the brand.

Relevance built around the individual

Digital experiences used to be built for broad audiences, with personalisation limited to basic segments. Digital Products can now respond to individual behaviour, preferences and context: personalisation typically lifts revenue by 10-15% and can cut acquisition costs by up to half (McKinsey, 2023), and faster-growing companies already draw 40% more revenue from personalisation than slower-growing peers (McKinsey, 2021).

A regular morning customer, a collector and a family shopper can all get a different experience from the same brand. The objective isn't only conversion - it's consumers feeling recognised, not targeted.

Every interaction as a signal

Digital Products give brands continuous insight into what attracts attention, influences purchase and drives repeat behaviour. Combined with AI, this becomes a feedback loop between consumer understanding, product development and growth.

Scaling consumer relevance through AI

The challenge for brands has rarely been a lack of ideas - it's been delivering meaningful experiences consistently and at scale. That used to require significant human effort, so only flagship products got the full treatment.

That constraint is easing fast: 79% of organisations now use generative AI somewhere in the business, up from 33% two years earlier, and marketing is already the single most common function using it regularly, at 42% of organisations (McKinsey, 2025).

Marketing led the adoption curve for a specific reason: content can be tested, reviewed and reversed cheaply, so it carries less risk than functions where an AI error is harder to undo - which is exactly why the growth upside shows up there first.

AI changes the economics of relevance, connecting products, digital experience and consumer intelligence at a scale previously out of reach:

Storytelling at portfolio scale

Brands used to reserve real storytelling effort for hero products and major launches. Generative AI extends richer narratives across broader portfolios, adapted by audience, occasion and channel.

Klarna's use of generative AI for imagery and campaign content cut its image-development cycle from around six weeks to seven days, and reduced sales and marketing costs by 11% in a single quarter (Klarna, 2024).

The growth mechanism is compounding, not one-off saving: a six-week cycle allows a handful of tests a year; a seven-day cycle allows dozens. More cycles mean more chances to find what converts before a competitor does - the gain is speed of learning, not labour saved on any one asset. The goal isn't more content - it's making more products relevant, faster than the market can copy them.

Adapting in the moment, not from history

Personalisation used to rely on past behaviour. AI now responds to real-time context - behaviour, preferences, location, timing - and can drive up to 110% more items added to basket, with spend per visit rising by as much as 40% (BCG, cited 2024) - both well above the 10-15% average lift personalisation delivers overall.

The gap between average and upper bound is the mechanism worth naming: a system built on last year's history is optimising for the wrong signal, because what predicts today's purchase is what's happening right now. That's the difference between personalisation that nudges revenue and personalisation that changes it.

Ahead of the shift, not behind it

Consumer research used to mean periodic snapshots. AI can read reviews, search behaviour and social conversation continuously to surface emerging needs faster - and speed matters against real behavioural change.

Brands can move from reacting to consumer change towards anticipating it.

The compounding growth loop

Growth used to run a linear cycle: create, launch, measure, adjust. AI turns it into a continuous loop - products create value, Digital Products capture signals, intelligence improves decisions, and every interaction strengthens the next. AI doesn't replace the human side of branding - it strengthens a brand's ability to understand consumers, respond to change and create relevance.

Two forces are reshaping consumer competition: functional advantage is harder to defend as markets mature, while consumers increasingly choose brands on what they represent, not just what they do.

The definition of product value is expanding - and so is the definition of growth. Growth used to mean selling more units to more people. Increasingly, it means extending what each product earns across its whole life: more attention per launch, more revenue per customer, more relevance per dollar spent, not just more volume.

The strongest brands won't simply create products people need. They'll create products people notice, remember, connect with and keep paying for:

• Products become cultural assets: earning attention and meaning beyond function

• Digital Products extend value: turning individual purchases into ongoing experiences

• AI scales relevance: personalising, learning and improving continuously

The gap between leading brands and the rest won't be defined only by product capability. It will be defined by the ability to keep creating relevance, strengthening connection and evolving with expectations.