LOADING CASE STUDY

Breaking the Glass:
Global Fragrance House (NDA)

A case I can’t fully name, but you’ve seen them: if you’ve ever walked into a national beauty retailer or a premium fragrance section — online or offline — you’ve seen this group on the shelves. This is how we rebuilt their position in mass and masstige fragrances by fixing preference, loyalty, and the language of scent under NDA.

01 // THE QUESTION

“Where Do We Actually Win and Lose?”

The client is a major global fragrance manufacturer with a portfolio spread across mass, masstige and selective channels. Because of contractual obligations I can’t reveal the name, but it’s the kind of portfolio most people instinctively associate with “this must be one of the big groups I see everywhere”.

Their question was not tactical. It wasn’t “what campaign should we run next?”. It was a structural question:

“Across the whole customer journey — where exactly do we win, where do we leak, and how do we grow share without simply spending more?”

"This wasn’t a media brief. This was an X-ray request: show us the real map, with us on it."

At Publicis, I led the workstream that pulled the category apart into stages, signals and systems: national beauty chains, multi-brand online platforms, search, social, TV, digital video, loyalty ecosystems and review surfaces.

02 // THE LEAKS

Awareness Was Fine. Preference Was Not.

When we plotted the full journey, the result was almost uncomfortable in its clarity. Awareness was not the problem. The portfolio was visible everywhere that mattered: on shelves, in hero placements, in advertising.

The leaks happened later — at:

Preference — the moment someone stands in front of a fragrance wall or scrolls a digital grid and has to choose one bottle;
Loyalty — the moment it’s time to refill or switch, and habits are either reinforced or broken by someone else’s promotion.

FIG 1.0 // JOURNEY LEAK RAIL
Awareness Stable
Preference Leakage
Loyalty Leakage
Awareness Layer Multi-channel visibility, shelf presence and media reach were already at competitive levels. Spending more here produced diminishing returns.
Preference Layer At point-of-choice, other brands were more distinctive and better encoded emotionally, so the portfolio underperformed its own awareness.
Loyalty Layer Refill and re-purchase cycles were weakly engineered; loyalty systems were treated as background, not as a repeat engine.

In plain language: the group paid to enter the conversation, but didn’t fully engineer what happens from “I know this brand” to “I choose this brand again and again”.

03 // THE LANGUAGE OF SCENT

Teaching Fragrances to Speak Digital

Most fragrance content behaves as if dropping fruits and flowers next to a bottle is enough. It isn’t. That’s decoration, not communication. It doesn’t transmit the scent, it fills the frame.

I designed a sensory content framework — a way to estimate and benchmark how well visuals and copy actually make you feel the fragrance through a screen.

FIG 2.0 // SENSORY CONTENT 2×2
Low → High Sensory Clarity Low → High Brand Distinctiveness
Generic Noise
Pretty visuals, no real sense of scent. Could belong to almost any brand in the category.
Ownable but Vague
Recognizable brand codes with weak translation of notes, mood or wearing moments.
Clear but Anonymous
Good sensory cues (you roughly feel the scent), but assets are interchangeable across competitors.
Sensory Anchor Zone
Assets that both carry the scent and clearly belong to this portfolio. This is where we pushed the client’s future creative platform.

We then benchmarked the client’s assets against the full competitive field in mass and masstige, and produced a ranked gap-map: where the portfolio needed to evolve to win preference, not just share impressions.

04 // SYSTEMS: LOYALTY & REPEAT

Using Retail Ecosystems as an Engine, Not a Backdrop

The second blind spot was structural. Large beauty ecosystems — national chains, multi-brand platforms, subscription boxes — all run their own loyalty universes: tiers, points, personalized offers, events, early access mechanics.

Most brands treat these systems as a backdrop: “we’re listed, we’re in the catalog, we appear in rotation sometimes”. A small set of competitors treat them as a separate battleground and, predictably, dominate repeat purchases.

We unpacked how these ecosystems actually work for fragrances and turned them into a loop, not a random sequence.

FIG 3.0 // LOYALTY LOOP
Discovery Event
Program Trigger
Refill Moment
Personalized Nudge
Engineered Fragrance Habit
From One-Off Promo to Loop Instead of thinking in isolated promotions, we defined a repeat pattern: how someone discovers a fragrance, how the ecosystem “remembers” that, and how to bring them back exactly at refill time.
What Changed for the Client Loyalty programs stopped being a black box owned “by the retailer”. They became a controllable environment: with specific triggers, cycles and expectations for repeat behavior.

For the client this translated into concrete playbooks: how to participate, how often, with which offers, and what success should actually look like beyond “we ran a promo”.

05 // REPUTATION AS HORIZON

Seeing Reviews as a Landscape, Not as Stars

In fragrances, reviews are not just a vanity metric. They are the quiet, accumulated argument that either confirms “buy” or quietly redirects a shopper elsewhere.

Instead of counting stars, I built a reputation horizon across key environments: how dense, how recent, how specific and how aligned with the intended story each brand really is.

FIG 4.0 // REPUTATION STRIPS
Volume
Solid count of reviews, but below top competitors in several high-intent environments.
Freshness
Too many “old” reviews: good ratings, but weak signal that the fragrance is still a live choice.
Specificity
When people did write, they wrote with detail: notes, longevity, projection — a strong base to build on.

For each major environment we defined the mechanics: when to ask, how to ask, what kind of post-purchase touch nudges people to leave a credible, specific review instead of a generic star.

// FINAL EXECUTION LOG STATUS: LANGUAGE & SYSTEMS UPGRADED
What Was Installed
Journey X-ray Sensory Framework Loyalty Loop Design Reputation Horizon
The brand moved from “we’re visible, but not sure why we lose” to a clear, instrument-level view of where share is leaking, how scent is (or isn’t) carried through content, and what levers exist inside modern beauty ecosystems.
Strategic Shift
From Media-First To Preference-First To Loyalty-Conscious
Instead of simply increasing spend or chasing reach, the client now orients decisions around engineered preference and repeat — with a shared language for creative, trade and CRM teams.
// IMPACT TELEMETRY DATA SOURCE: MULTI-CHANNEL DIAGNOSTICS
STREAM: PREFERENCE
UP
Point-of-Choice Strength
Sharper, more sensory-accurate content and clearer competitive benchmarks improved the portfolio’s ability to be chosen at the shelf and in digital grids, not just noticed.
STREAM: LOYALTY
UNLOCKED
Ecosystem Mechanics
Loyalty programs and repeat triggers stopped being a black box and became a set of levers the brand could deliberately pull to protect and grow existing users.
STREAM: REPUTATION
RICHER
Review Profiles
The review landscape became denser, more recent and more specific, strengthening the “silent argument” for the portfolio at high-intent decision moments.
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