U.S. Fragrance Subscription Users Dataset – 1.08M High-Intent Perfume Discovery Consumers
Price range: $590.00 through $9,500.00
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U.S. dataset of 1.08M fragrance subscription users (2020–2025). High-intent perfume discovery consumers ideal for DTC, niche, and premium beauty targeting.
Description
Published Feb, 2026
💰 Pricing Tiers Table
| Tier | Records Included | Description | Best For | Price |
|---|---|---|---|---|
| Starter Sample | 50,000 | A compact test segment of U.S.-based fragrance subscription users. Includes gender and behavioral subscription signals to validate campaign performance before scaling. | Pilot campaigns, creative testing, niche launches | $590 |
| Growth Audience | 250,000 | A larger performance-ready segment of discovery-driven fragrance consumers. Designed for brands looking to move beyond testing into measurable acquisition campaigns. | Paid ads, influencer activation, lookalike modeling | $1,950 |
| Brand Expansion | 500,000 | A scaled audience of high-intent subscription fragrance users suitable for multi-channel deployment. Supports broader targeting across Meta, TikTok, and email ecosystems. | Multi-platform growth, national campaigns | $3,900 |
| Regional / Time-Zone Segment | Custom | Filtered audience based on U.S. time-zone clusters for localized campaigns, logistics alignment, or regional brand launches. Maintains behavioral targeting precision. | Regional launches, logistics-aware marketing | $2,800 |
| Full Dataset | 1,084,584 | Complete U.S. fragrance subscription user audience with behavioral subscription signals spanning 2020–2025. Ideal for brands seeking maximum reach and long-term activation potential. | Enterprise campaigns, scaling DTC brands | $9,500 |
Comprehensive consumer dataset from a leading US fragrance subscription platform operating 2020-2025, covering 1,084,584 user records from direct-to-consumer perfume sampling services. This dataset captures the rapidly expanding personalized fragrance subscription market, projected to reach $5.07 billion by 2033 with 17.2% annual growth.
This dataset contains over 1.08 million U.S.-based users of subscription-driven fragrance discovery platforms operating between 2020 and 2025.
These consumers actively engage in a modern “try-before-you-buy” model — receiving monthly 8ml fragrance samples instead of purchasing full-size bottles upfront.
Unlike generic beauty audiences, this segment represents:
High-intent fragrance buyers
Subscription-native shoppers
Discovery-driven consumers
Repeat purchase oriented users
The audience skews heavily toward Millennial and Gen Z consumers, with strong representation of digitally-native fragrance enthusiasts influenced by social media trends, influencer marketing, and personalized product curation.
This dataset reflects a behavioral shift in the fragrance market:
→ from ownership
→ to exploration
Users in this segment demonstrate:
willingness to spend on premium and niche scents
openness to new brands
interest in personalization
strong engagement with curated product ecosystems
Male participation is rapidly growing and shows strong spending behavior — especially among premium-tier subscribers.
Dataset Highlights
1,084,584 records
USA-based audience
Coverage: 2020–2025
Subscription behavior signal
Gender data available (100%)
Time-zone segmentation
Partial age categorization
Digital-first consumer base
Ideal Use Cases
This dataset is highly relevant for:
DTC fragrance brands
Niche perfume houses
Clean beauty brands
Subscription box startups
Influencer-led beauty products
Men’s grooming brands
Retail challenger brands
It enables targeting of consumers already comfortable with:
✔ premium sampling
✔ recurring purchases
✔ discovery-based shopping
| Attribute | Distribution |
|---|---|
| Female Users | 764,481 (70.49%) |
| Male Users | 319,982 (29.50%) |
| Primary Age Segment | 25-34 years (core demographic) |
| Geographic Focus | United States (New York headquarters) |
| Platform Type | Web-primary (294,290 users), iOS/Android secondary |
| Column | Fill Rate | Data Type | Description |
|---|---|---|---|
| 100.00% | User contact identifier | ||
| firstname | 51.78% | string | First name |
| Last name | 51.76% | string | Surname |
| birthday | 4.90% | date | Date of birth |
| sex | 100.00% | string | Gender (male/female) |
| subscription_cart | 99.99% | boolean | Active subscription status |
| time_zone (NY relative) | 84.10% | numeric | UTC offset from Eastern Time |
| latest_skin_type | 0.35% | string | Skin profile (combination/normal/dry/sensitive/oily) |
| latest_age_category | 4.66% | string | Age bracket (FROM18TO24/FROM25TO34/FROM35TO44/FROM45TO54/FROM55TO64/FROM65/LE17) |
| application_version | 27.76% | string | Platform access method (web/iOS/Android) |
| Time Zone | Count | Percentage | Primary Regions |
|---|---|---|---|
| -5.0 (EST) | 268,359 | 29.42% | East Coast, Northeast |
| -4.0 (EDT) | 264,493 | 29.00% | East Coast (Daylight) |
| -7.0 (MST/PDT) | 108,711 | 11.92% | Mountain/West Coast |
| -6.0 (CST) | 89,382 | 9.80% | Central US |
| -8.0 (PST) | 30,619 | 3.36% | Pacific Coast |
| Status | Count | Percentage |
|---|---|---|
| False (inactive) | 648,510 | 59.80% |
| false | 252,636 | 23.30% |
| True (active) | 151,488 | 13.97% |
| true | 31,825 | 2.93% |
| Category | Count | Percentage |
|---|---|---|
| FROM25TO34 | 17,338 | 34.27% |
| FROM35TO44 | 11,034 | 21.81% |
| FROM18TO24 | 10,662 | 21.08% |
| FROM45TO54 | 5,932 | 11.73% |
| LE17 | 2,573 | 5.09% |
| FROM55TO64 | 2,361 | 4.67% |
| FROM65 | 682 | 1.35% |
| Type | Count | Percentage |
|---|---|---|
| Combination | 1,327 | 35.29% |
| Normal | 1,205 | 32.05% |
| Dry | 445 | 11.84% |
| Sensitive | 392 | 10.43% |
| Oily | 385 | 10.24% |
| Method | Count | Percentage |
|---|---|---|
| web | 294,290 | 97.75% |
| iOS | ~4,308 | 1.43% |
| Android | ~2,472 | 0.82% |
- File Size: 56.26 MB
- Total Records: 1,084,584
- Date Range: 2020-2025
- Format: CSV
- Overall Completeness: 52.53%
- Total Cells: 10,845,840
- Filled Cells: 5,697,341
- Competitive analysis for fragrance subscription entrants
- Customer acquisition modeling for DTC beauty brands
- Regional market penetration studies
- Gender-based product development research
- Churn prediction modeling for subscription services
Sample data:
email firstname Last name birthday sex subscription_cart time_zone (NY relative) latest_skin_type latest_age_category application_version [email protected] female false -4 web [email protected] Karen Fightsover female false -5 FROM35TO44 web [email protected] male false -4 web [email protected] Ashley Criss female false -6 web [email protected] Odis Parker III male false -4 web [email protected] Charmen Marshall female false -4 web [email protected] ohh Fabian female false -7 web [email protected] Alejandro Melendez male false -7 web [email protected] female false -4 web [email protected] Carlos Ramirez Palacios female false -4 web [email protected] Jacob Burgess female false -5 web [email protected] Maranda Stamm female false -4 FROM25TO34 web [email protected] Shawn Taylor male false -7 web [email protected] Makayla Olson female false web [email protected] desiree springer 1965-12-02 00:00:00.000 female false -4 FROM45TO54 [email protected] Sheron Davis female false iOS [email protected] Steven Marquez male false iOS [email protected] jovanni orejel male false -7 web [email protected] male true -4 [email protected] female false -5 web [email protected] female false 2 web [email protected] female false -4 web [email protected] Jason Castle male false -5 web [email protected] Dan Norenberg male false -5 web [email protected] Emma Adair female false -4 LE17 web [email protected] male false -4 web [email protected] Ethel Goode female false -4 web [email protected] Earia Ellis female false -5 web [email protected] female false -5 web
Additional information
| Pricing tier (see table below) | Starter Sample – 50K Records, Growth Audience – 250K Records, Brand Expansion – 500K Records, Regional / Time-Zone Segment – Custom, Full Dataset – 1,084,584 Records |
|---|






