Cognitive Recognition: If You See It, You Already Know It
Transforming the digital experience of premium fragrances through AI-generated storytelling.
2025
13 weeks
Luxury / Fragrance & Beauty
Starting position
Starting position
- ≈ 150,000–200,000 €
Monthly online revenue
6-month rolling average
- 1.2%
Webshop conversion rate
- 1.8x
Blended ROAS before
- ≈ 3,500–5,500 €
Creative production cost / asset
Market size
≈ 30–50 M €
Premium fragrance e-commerce (HR + SLO + SRB)
Approx. budget
50,000 – 199,999 €
Budget breakdown
Budget bucket per Clutch.co project cost category. Exact figures under NDA.
13-week structured rollout
13 weeks
- 1
Weeks 1–2
Discovery, baseline measurement, attribution setup
- 2
Weeks 3–6
AI creative production & pilot launch
- 3
Weeks 7–11
Geo incrementality test & MMM calibration
- 4
Weeks 12–13
Budget reallocation & scaling
Navigating the Intangibility of Scent
The fundamental problem in fragrance e-commerce is the sensory gap: customers buy perfumes for the scent, but the online environment is exclusively visual. The goal was to create desire for the intangible.
Premium fragrances require high-level sensory experience, traditionally absent in digital channels.
Target audience (women 30-55, high purchasing power) demands narrative depth and brand exclusivity.
Building purchase confidence for artisanal products where standard photography doesn't justify premium pricing.
Standard visual materials fail to convey the complex emotional architecture of niche fragrances.
Visual Scent Synesthesia
We developed an AI-powered campaign that transforms fragrance profiles into visual narratives. By using neurological associations, such as visualizing rain for the scent of petrichor, we enabled customers to intuitively experience the product.
AI Interpretation of Fragrance Notes
Custom AI video generation processes that translate fragrance notes like sweetness, warmth, and elegance into visual stimuli that evoke scent memories.
Structured Four-Week Narrative
A structured campaign covering perfumes, home fragrances, and body care, systematically building a complete and coherent brand universe.
Central Data Architecture
Consolidating metrics from all platforms into a unified and reliable data source (Single Source of Truth), eliminating isolated information systems.
Independent Attribution System
Transition from biased platform reports to objective multi-touch attribution models directly owned by the brand.
Marketing Mix Modeling & Incrementality Testing
Application of Marketing Mix Modeling (MMM) and geographically-based incrementality tests for precise calibration of the true impact of marketing investments.
Predictive Scenario Planning
Predicting budget reallocation outcomes using calibrated models to simulate return on investment before actual cost realization.
Product and pricing adjustments that supported the campaign
Marketing alone rarely moves the needle — concurrent changes to the offering compounded the impact. We disclose them for transparency.
SKU expansion
Before
12 SKUs
After
18 SKUs + 3-piece sample set
Sample set lowered the trial barrier for first-time buyers.
Entry tier
Before
Min. 89 €
After
Min. 49 € (sample set)
Funnel-widening play to capture top-of-funnel demand from AI creatives.
Checkout
Reduced checkout from 4 to 2 steps with guest option.
ROI achieved within 13-week campaign window
≈ 4–7x
ROAS
≈ 320,000–370,000 €
campaign-attributed
50,000 – 199,999 €
Payback period
6 weeks
Method
Geo incrementality test + MMM
Confidence
High — validated against holdout regions
Incremental revenue measured during the 13-week campaign window only. Halo effect on subsequent quarters not included.
Operational Excellence with AI Technology
By integrating AI into creative production and implementing a measurement framework, we achieved significant cost efficiency while maximizing ROAS. Every budget decision was data-validated.
Blended ROAS
Before
1.8x
After
6.1x
Weeks 7–13 vs. pre-campaign baseline
Creative production cost / asset
Before
≈ 3,500–5,500 €
After
≈ 1,500–2,500 €
AI-assisted vs. traditional shoot
Webshop conversion
Before
1.2%
After
2.1%
Last 4 weeks of campaign
Wasted ad spend
Before
≈ 28% of media
After
≈ 17% of media
Identified via incrementality test
“They recognized that we're not selling a product, but a memory and an emotion. The AI visuals precisely articulated the very essence of our fragrances, resulting in a customer response that was truly interactive.”
Brand Director
Premium Fragrance Brand
