Luxury Fashion Marketing in 2026: How Premium Brands Build Desire (Not Discounts)

Luxury fashion marketing is the discipline of building and sustaining desire for high-priced apparel, footwear and accessories — across brand, content, retail and paid media — without leaning on discounts to move stock. In 2026 it runs against a harder backdrop: the personal luxury goods market has stopped growing, roughly 70 million shoppers have left the category since 2022, and the brands holding their ground are the ones protecting price integrity and brand equity rather than buying volume with markdowns. The work is less about reach and more about desirability, scarcity, clienteling, and measurement that respects a long, considered purchase.

TL;DR

• The market shrank, not just slowed. Personal luxury goods came in around €358B in 2025, and the active customer base fell to roughly 330 million from 400 million in 2022 — the first contraction Bain has recorded in over two decades.
• Discounting is the slow poison; over-pricing was the fast one. Discounted sales now make up 35–40% of luxury revenue, while like-for-like iconic prices rose 50–70% since 2019 — and over half of consumers now call luxury overpriced. Desire has to be rebuilt between those two failures.
• Premium skews harder to brand: closer to 70/30, not 60/40. Brand-building reduces price elasticity; short-term activation never has. For a brand whose whole model is pricing power, that ratio is an economic argument, not a creative preference.
• Channels split into building desire and capturing it. YouTube, Demand Gen and TikTok build; Search, Shopping, Performance Max and Advantage+ capture. Luxury gets the split wrong when it runs only the capture half.
• The economics are different and they change the marketing. High AOV, fashion return rates near 24% online, and a top-customer cohort now worth ~46% of luxury spend mean ROAS without returns and CLV is a flattering fiction.
• Last-click flatters luxury more than any category. A long, non-linear purchase makes last-click attribute the sale to the final coupon-shaped touch. Incrementality, MMM and brand lift exist precisely for this problem.
• 2026 reality: AI summaries now appear on ~18% of Google searches and roughly halve click-through — discovery is moving, and brand strength is what survives it.

The market underneath the marketing

Most luxury-marketing advice is written as if the only question is taste. The harder question in 2026 is arithmetic.

Bain's 2025 study put the personal luxury goods market at about €358 billion, down from €369B in 2023 and €364B in 2024 — roughly a 2% decline, and flat once you strip out currency. That alone would be unremarkable. What matters underneath it is the customer base: it fell to around 330 million from 400 million in 2022, with about 20 million people leaving the category in 2025 alone. That is the first such contraction Bain has recorded in more than twenty years of tracking the market.

The brands feeling it most are not the ones with weak product. They are the ones that lost the aspirational consumer — the shopper who buys two or three luxury pieces a year, not twenty. Bain is explicit that the contraction is driven primarily by aspirational consumers pressured by steep price increases since 2019. Margins tell the same story from the inside: average luxury margins fell to roughly 15–16% in 2025, back to 2009 levels, after peaking near 21% in 2021–22.

So the marketing problem of 2026 is not "how do we reach more people." It is "how do we rebuild desire in a category that priced out a third of its own audience." That reframes everything below.

A quick glossary

A few terms used throughout, defined once so the rest reads cleanly:

• Luxury fashion marketing — building and protecting demand for high-priced fashion through brand, product, retail and paid media, with price integrity treated as a marketing asset rather than a lever.
• Brand equity — the commercial value of a brand's reputation: the reason a customer will pay more, wait longer, and come back without a discount prompting them.
• Pricing power — the ability to hold or raise price without losing the customer. In luxury it is the whole business model; protecting it is the point of the marketing.
• Brand vs activation — brand-building creates long-term demand and pricing power; activation (promotions, lower-funnel ads) converts demand that already exists. The split between them is a budget decision.
• Share of voice (SOV) / ESOV — your share of category advertising; "excess" share of voice is the gap between your voice share and your market share, which predicts growth.
• Demand Gen — Google's visual, upper-funnel campaign type across YouTube, Shorts, Discover and Gmail, built to create demand rather than capture it (it replaced Discovery campaigns).
• Performance Max — Google's automated campaign that serves across Search, Shopping, YouTube, Display, Discover and Gmail from one campaign, optimised toward a goal.
• Clienteling — the high-touch practice of building one-to-one relationships with top customers (personal outreach, early access, tailored service) to drive repeat spend.
• Incrementality — the lift a campaign actually caused, measured against a control that saw no ads — as opposed to the conversions a platform claims credit for.
• Blended ROAS / MER — total revenue divided by total media spend across all channels, rather than each platform's self-reported return.

Desire, not discount — a two-sided discipline

The headline thesis of luxury marketing is easy to say and easy to oversimplify. "Luxury doesn't discount" is true, but it is only half the discipline — and the half most articles stop at. The 2026 reality is a brand caught between two opposite failures.

The first failure is discounting. Jean-Noël Kapferer, whose work underpins most serious luxury-strategy thinking, calls discounting "one of the unforgivable sins" of luxury marketing, and warns that too many accessible products "create sales but kill brand equity, dream, and pricing power." The mechanism is simple: a customer who learns to wait for the markdown has stopped believing the full price was real. And the industry is slipping here — discounted sales reached 35–40% of luxury revenue in 2025, around five percentage points higher than a decade earlier.

Scarcity is the inverse lever, and it is measurable. After Louis Vuitton introduced a waitlist on the Neverfull, its resale value retention rose from roughly 136% to 158% in a year, per a 2025 Brand Vision study; an Hermès Birkin in the right configuration retains well above 200%. Bain also notes a quieter form of scarcity: 70–80% fewer hero-bag launches in 2023–25 than in 2016–19. Fewer, better, harder to get — that is desire engineering, and it shows up in price retention, not just sentiment.

The second failure is the opposite — and it is the one that actually broke the market. Like-for-like prices on iconic bags rose 50–70% between 2019 and 2025. Analysts have been blunt about why: HSBC described post-COVID increases as brands raising prices "just because they could get away with it." The result is that more than half of consumers now consider luxury brands overpriced — and the aspirational shopper, priced out, simply left.

So the discipline is two-sided. You protect price by building desire — brand, scarcity, product newness, clienteling — not by discounting that hollows out equity, and not by reflexive price hikes that hollow out the customer base. Pricing power is earned through equity, not extracted through repricing. Every channel decision below is downstream of that single idea.

The brand–performance balance for premium

If desire is the asset, the next question is how much of the budget should build it versus convert it.

The general answer, from Les Binet and Peter Field's long body of effectiveness work, is roughly 60% brand-building, 40% activation to maximise total effect over time. The premium answer is more skewed: Binet has argued that premium brands should move closer to 70/30 in favour of brand. The reason is not that luxury is "more emotional" — it is economic. Brand-building reduces price elasticity; it makes the customer less sensitive to price. Short-term activation has never been shown to do that. For a business whose entire model is the ability to charge more, the channel that protects the right to charge more is the one that deserves the larger share.

This also explains why a pure last-click, lower-funnel programme underperforms for premium fashion. The purchase is high-consideration and non-linear — Google's own "messy middle" research found there is no typical journey, just "a confusing web of touchpoints" the buyer loops through before deciding. Spend everything at the bottom of that loop and you harvest demand other people's brand-building created; you don't create your own.

The practical trap is that activation is easy to measure and brand is not, so budgets drift toward activation quarter after quarter — until pricing power quietly softens and nobody can point to the campaign that did it.

The channels that build desire — and the ones that capture it

The cleanest way to plan a premium fashion media mix is to sort every channel into one of two jobs: building desire (upper-funnel, creating future demand) or capturing it (lower-funnel, converting demand that exists). Luxury brands most often fail by running only the capture half and wondering why the brand feels commoditised.

Building desire. This is where YouTube and connected TV, brand-awareness campaigns, and TikTok earn their place. On Google specifically, Demand Gen is the purpose-built tool here — visual, immersive placements across YouTube, Shorts, Discover and Gmail designed to create demand rather than skim it. TikTok matters less as a direct-response channel for luxury and more as cultural presence: it is where a house stays relevant to the next cohort of buyers, and where discovery increasingly begins. The metric for this layer is not ROAS — it is brand lift (recall, awareness, consideration), measured against a control group, because the return shows up later and elsewhere.

Capturing demand. This is Search, Shopping and Performance Max on Google, Meta Advantage+ and retargeting on Meta, RLSA and Customer Match for known audiences. Two cautions matter more for luxury than for mass retail. First, placement control: Performance Max serves across all of Google's inventory, so for a luxury brand the brand-safety and placement-exclusion settings are not optional housekeeping — they decide whether the brand appears next to inventory that cheapens it. Second, the feed is the campaign: Shopping and PMax are only as good as the product feed behind them, and for high-AOV fashion, accurate variant, material and availability data does more for performance than any creative refresh.

Meta's automation has become hard to ignore at this scale — the company's end-to-end automated solutions passed a $60 billion annualised run-rate by Q3 2025, and Advantage+ Shopping alone crossed $20B, up 70% year over year. Meta reports figures like a $4.52 average ROAS and 22% higher returns for AI-driven targeting; treat those as the platform's own numbers and validate them against your business, but the direction is clear — manual audience-building is no longer where the edge is. The edge is in feed quality, creative, and the retrieval and ranking changes reshaping how Meta matches ads to people.

The economics premium brands actually run on

Two numbers quietly decide whether a luxury fashion programme is profitable, and most reporting hides both.

The first is returns. US retail return rates ran at 15.8% of sales in 2025 (NRF), online returns at 19.3%, and apparel online specifically near 24.4% — with roughly 70% of fashion returns driven by fit and style. A campaign reporting a 4× ROAS on apparel where a quarter of the units come back is not running at 4×. ROAS that ignores returns is a flattering fiction, and for footwear — where sizing drives even higher return rates — it is the single most common way a "profitable" account is quietly losing money.

The second is customer concentration. Bain's 2025 work found that top customers now account for roughly 46% of luxury spending, up from about 30% in 2019. The economics of luxury are concentrating into a smaller, more valuable cohort — which is exactly why clienteling and first-party CRM are no longer a retail nicety but a media strategy. The brands winning in 2026 spend disproportionately to identify, retain and re-engage that cohort, then feed those audiences back into Customer Match and lookalike modelling.

One myth worth retiring: this is not about a "cookieless future." Google reversed course in April 2025 and third-party cookies remain in Chrome. The real driver of first-party data's importance is signal loss from app-tracking restrictions, privacy regulation and platform change — not a deprecation that never arrived. The practical implication is the same either way: own your customer data, keep your conversion signal clean with server-side tagging, and stop renting your audience back from the platforms one campaign at a time.

Measurement: why last-click flatters luxury

A long, considered, high-AOV purchase is the worst possible case for last-click attribution. The customer discovers the brand on TikTok, sees it again on YouTube, searches it three times over two weeks, reads a review, and finally converts on a branded search — and last-click hands the entire credit to that final touch, making the brand-building that did the real work look worthless. Cut the "inefficient" upper funnel on that logic and conversions fall a quarter later with no campaign to blame.

The fix is not a better dashboard; it is better measurement design. Moving from last-click to data-driven attribution alone is enough to change decisions — one travel brand saw 24% more bookings and a 15% lower CPA after the switch, because the model finally let it bid confidently on upper-funnel terms. Beyond attribution, incrementality testing answers the question platforms can't ("what would have happened with no ads?"), and marketing mix modelling — now far more accessible since Google open-sourced its Meridian model — measures the whole mix in a privacy-durable way. For the brand layer specifically, brand lift studies measure recall and consideration directly rather than guessing at them.

This is also why we connect platform numbers to business numbers every day rather than reading each channel in isolation — so the budget lands where it actually delivers, not where the last click happened to fall. Done well, the channels stop being four separate stories and become one reconciled view of how acquisition is really behaving, reconciled against GA4 and the order book.

How we approach this at Space Ads

We run daily audits across 25+ client accounts and analyse roughly 14 million data points a month through Space Ads OS, our internal operating system. In premium fashion accounts, that operating rhythm matters because the margin is often hidden in details that a campaign dashboard does not understand: feed structure, returns, stock availability, product grouping, branded-search incrementality, customer value and seasonality.

The first pattern is that the feed, not the creative, is often the constraint. Before we scale a premium apparel account, we look at variant structure, availability accuracy, item grouping, product imagery and how returns flow back into the commercial view. Public work for Philipp Plein, Plein Sport and Billionaire shows that this is not just "ad management"; the media only works when product data, measurement and account structure are treated as one system.

The second pattern is returns-aware reconciliation. We line platform-reported conversions up against GA4, ecommerce data and the order book so the brand can see what actually landed in the business. On a premium account with high AOV, that discipline is not reporting hygiene; it is the difference between scaling contribution and scaling a leak.

The third pattern is signal quality decides the ceiling. Bidding only ever gets as smart as the data feeding it, so we treat tracking, server-side events, product data and exclusion logic as strategic work rather than back-office maintenance. None of this is dramatic on a slide. It is the quiet layer underneath the campaigns, applied daily, so the brand can protect desire while still making commercial decisions on real numbers.

For a brand at the level where paid scale starts to behave non-linearly, that daily discipline is the work. If you want the channel-by-channel version for premium fashion and footwear specifically, that is what our fashion & footwear paid media practice is built around — and for brands positioned at the very top of the market, our luxury marketing agency practice.

A 90-day plan to market a premium fashion brand without discounting

Luxury cycles are long, so the plan is staged in months, not days. The goal of the first quarter is to fix the foundation, prove the brand layer with measurement, and earn the right to scale.

• Days 1–30 — clean the foundation. Audit the product feed and conversion tracking first; reconcile platform numbers against GA4 and the order book; set Performance Max placement exclusions and brand-safety controls; build first-party audiences from your CRM into Customer Match. Decide the brand/activation split deliberately — closer to 70/30 for true luxury.
• Days 31–60 — turn on the build layer with measurement. Launch the upper funnel (Demand Gen, YouTube, TikTok) with a brand-lift study attached from day one, so the spend is accountable on its own terms. Hold activation steady; resist the urge to judge brand spend on last-click ROAS.
• Days 61–90 — scale what's incremental, retire what's not. Run an incrementality test on a meaningful channel; reallocate budget by contribution, not platform-claimed ROAS; deepen clienteling and retention for the top-customer cohort. Now you can scale spend on evidence rather than instinct — and on returns-adjusted economics, not headline ROAS.

If any number surprises you in a given month — a return rate, a reconciliation gap, a ROAS that's too good — stop and reconcile before widening. Trust is earned account by account.

Stop doing / do instead

Common mistakes in luxury fashion marketing

• The discount reflex. Reaching for a markdown when sales soften trains the customer to wait, and the next full-price season is harder than the last.
• Believing last-click. It systematically undervalues the brand-building that drives a long, considered purchase — and it always recommends cutting the very spend that fills the funnel.
• ROAS without returns. On apparel and footwear, return rates near 20–24% online mean unadjusted ROAS overstates profit, sometimes dramatically.
• Performance Max on autopilot. Without placement controls, a luxury brand can end up advertised in contexts that quietly erode the equity it spends millions to build.
• Treating TikTok as direct response. For luxury it is a cultural and discovery channel first; judged purely on last-click conversions it will always look like it "doesn't work."
• No brand investment at all. The accounts that look most efficient on a spreadsheet are often the ones quietly spending down brand equity built years earlier.

FAQ

What is luxury fashion marketing?

Luxury fashion marketing is the practice of building and protecting desire for high-priced apparel, footwear and accessories across brand, content, retail and paid media — with price integrity treated as an asset rather than a lever. Unlike mass-market retail, it prioritises brand equity, scarcity and clienteling over promotion, because the entire business model depends on pricing power that discounting erodes.

How do luxury brands market without discounting?

By building desire instead of buying volume. That means investing in brand-building (storytelling, YouTube, Demand Gen), engineering scarcity (limited drops, waitlists, fewer hero launches), deepening relationships with top customers through clienteling, and protecting distribution so the product never appears cheapened. Discounting drives short-term sales but trains customers to wait and erodes the brand equity that justifies the price.

What's the right brand-to-performance split for a luxury brand?

For premium and luxury brands, closer to 70% brand-building and 30% activation, versus the 60/40 baseline for most categories. The rationale is economic: brand-building reduces price sensitivity, which protects pricing power, while short-term activation does not. The exact ratio depends on the brand's maturity and distribution, but skewing toward brand is the defensible default for a pricing-power-led business.

Which ad channels work best for a luxury fashion brand?

Sort them by job. To build desire: YouTube and connected TV, Google Demand Gen, brand-awareness campaigns, and TikTok for cultural relevance. To capture demand: Search, Shopping and Performance Max, Meta Advantage+, and retargeting on first-party audiences. Most luxury brands over-invest in the capture half and under-invest in the build half, which slowly commoditises the brand.

Does Performance Max work for luxury fashion?

It can, with two conditions. First, the product feed must be accurate and well-structured, because Shopping and Performance Max are only as good as the feed behind them. Second, placement exclusions and brand-safety controls must be set deliberately, since Performance Max serves across all of Google's inventory and an uncontrolled placement can put a luxury brand in a context that cheapens it. On defaults, it is a risk; configured carefully, it is a strong demand-capture engine.

How do you measure luxury fashion marketing with such a long purchase cycle?

Not with last-click. A long, non-linear purchase makes last-click credit the final touch and undervalue everything that built the demand. Use data-driven attribution as the baseline, incrementality tests to isolate true lift, marketing mix modelling for the whole mix, and brand-lift studies for upper-funnel spend. Then reconcile platform numbers against GA4 and the order book so the reported return reflects the business, not the platform's self-assessment.

How do return rates affect luxury fashion ad performance?

Heavily. Online apparel return rates run near 24%, and footwear higher because of sizing — so a campaign's real return is well below its headline ROAS once returns are netted out. Reporting returns-adjusted, blended ROAS rather than platform-reported ROAS is the difference between knowing you're profitable and assuming it.

Is TikTok worth it for a luxury brand?

Yes, but as a cultural and discovery channel rather than a direct-response one. It is where a house stays relevant to the next generation of buyers and where product discovery increasingly starts. Judged on last-click conversions it will underperform; judged on reach, engagement and the lift it drives in branded search and site visits, it earns its place in the build layer.

In short

• The personal luxury goods market shrank to about €358B in 2025, with the customer base down to ~330M from 400M in 2022 — the marketing problem is rebuilding desire, not buying reach.
• Desire is a two-sided discipline: avoid the discounting that erodes equity and the reflexive price hikes that priced out the aspirational customer.
• Premium brands should skew closer to 70/30 brand-to-activation, because brand-building protects the pricing power the whole model rests on.
• Split channels into building desire (YouTube, Demand Gen, TikTok) and capturing it (Search, Shopping, PMax, Advantage+) — and don't run only the second half.
• Run the real economics: returns near 24% online, a top-customer cohort worth ~46% of luxury spend, and first-party data as a media strategy.
• Measure with incrementality, MMM and brand lift — not last-click — and report returns-adjusted, blended ROAS against the order book.

Sources and further reading

• Bain & Company — Finding a New Longevity for Luxury (2025 study)
• NRF & Happy Returns — 2025 retail returns report
• Marketing Week — Les Binet on why premium brands shift to 70:30
• Google — Decoding Decisions: the messy middle of purchase behaviour
• Google — Meridian: open-source marketing mix modelling
• Pew Research — Google users click less when an AI summary appears
• Google / Privacy Sandbox — the decision to keep third-party cookies

Continue learning

• Performance Max campaigns: what to know and how to create them
• What is a Demand Gen campaign in Google Ads and how to launch one
• Meta Advantage+: what it is and how it works after the changes
• Why brand awareness matters and how to build a successful campaign
• Incrementality testing and geo experiments with Meta, Google and Meridian
• What is a product feed and how to use it