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HALEIA / META ADS

Luxury on the surface. Performance underneath.

Savoir rebuilt HALEIA’s paid-social approach around clearer audience signals, stronger commerce data and creative that could remain editorial while doing a commercial job.

Paid AdvertisingMetaShopifyCase Study
HALEIA model in a flowing burgundy and black ruffled dress
HALEIA model in a sculptural cream gown with a textured train
Back view of a HALEIA model in a pale lavender textured gown
HALEIA model in an avant-garde pale green and white structured look
CASE STUDY / 01

A fashion brand should not have to choose between desirability and accountability.

HALEIA needed paid media capable of reaching new audiences and supporting commerce without turning its visual identity into generic direct-response advertising.

01 / SIGNAL

Better data had to become part of the media system.

The existing platform setup limited the depth of integration and analytics available to campaign decisions. The move to Shopify created a stronger foundation for Meta tracking and optimisation.

02 / FUNNEL

Different levels of intent needed different campaign jobs.

Awareness, engagement, product interest, conversion and re-engagement were treated as distinct states rather than collapsed into one audience and one message.

03 / CREATIVE

Creative needed range without losing the brand.

Short-form, carousel and static formats had to create enough variation for learning while retaining HALEIA’s clean, elevated visual register.

OBJECTIVES / 03

What the system had to solve.

The live case study defines six objectives. Here they become a compact editorial index rather than six disconnected paragraphs.

01

Elevate global brand presence

Build recognition in priority international markets through region-aware paid media while maintaining HALEIA’s luxury positioning.
02

Drive targeted website engagement

Bring fashion-conscious audiences into the Shopify experience through interest and intent-led acquisition.
03

Maximise sales performance

Optimise campaigns around meaningful commerce events rather than reach alone.
04

Cultivate data-driven audiences

Use customer, pixel and behavioural signals to improve segmentation and lookalike quality.
05

Strengthen creative identity

Build ad executions that could be tested and refreshed without separating performance work from the brand world.
06

Re-engage and convert

Use layered retargeting for carts, browsers and engaged social audiences rather than one generic remarketing pool.
PAID MEDIA ARCHITECTURE / 04

A circular system of intent.

Each layer feeds the next while creating new audience signals for optimisation.

HALEIAMeta × Shopify
01

Prospecting

New-audience discovery.

02

Engagement

Video, social and site signals.

03

Consideration

Product and collection interest.

04

Conversion

Commerce-event optimisation.

05

Retargeting

Intent-specific re-engagement.

CREATIVE WALKTHROUGH / 05

One brand world, several campaign jobs.

01
HALEIA model presenting a pale gown in an ornate runway setting
01 / Brand-led prospecting
Group of fashion models posed together in an editorial campaign scene
02 / Product storytelling
Fashion models in pale gowns staged across a desert landscape
03 / Editorial consideration
Backstage event moment with two women in evening fashion under blue light
04 / Social proof and brand context
METHOD / 06

Six phases. One continuous feedback loop.

The process begins with the platform and brand context, then moves through funnel architecture, creative, testing, optimisation and ongoing management.

01

Audit

Review platform limitations, historical advertising and brand constraints.

02

Plan

Map audiences and campaign jobs across the funnel.

03

Create

Develop brand-aligned formats and audience-specific messages.

04

Test

Launch staged variations and read live campaign signals.

05

Optimise

Reallocate attention toward stronger combinations and refresh fatigued creative.

06

Manage

Continue refining the account after launch rather than treating delivery as a one-off event.

Back view of a model in a dark lace gown in a blue-lit runway environment
WHAT CHANGED / 07

Better conditions for performance.

No numeric HALEIA result set is published on the current case-study page, so this direction keeps the outcome section qualitative rather than inventing metrics.

01

More useful signals

Shopify and Meta integrations created a stronger basis for campaign learning and optimisation.

02

More precise audience states

The account could distinguish prospecting, engagement, product interest, conversion and re-engagement.

03

More adaptable creative

Multiple formats and messages could be refreshed as the account learned without abandoning HALEIA’s aesthetic.

04

Continued management

The case study describes an ongoing optimisation relationship rather than a campaign that ended at launch.

HALEIA model presenting a pale gown in an ornate runway setting
CLIENT VOICE / 08

“They understood our vision and translated it into both design and performance.”

Kubilay Aktaş
Co-founder, HALEIA