Cart

US Off-Price Luxury Fashion Audience — 12.6M Records

₽76,640.50 ₽383,202.50Price range: ₽76,640.50 through ₽383,202.50

GDPR / Legal compliance info
Extra free email validation is included with purchased data.

Change currency:

Large-scale US consumer audience aligned with off-price luxury fashion retail. 12.6M deduplicated records with email, name, ZIP, and gender. Sold as-is for research and modeling use.

Clear
Share this page

Share this product

Description

Published February, 2026


Product Slices & Pricing Tiers

Tier NameCoverageDescriptionPrice
Metro Core Markets Pack~3.5M recordsConsumers located in top US fashion retail metros (Los Angeles, New York City, San Francisco Bay Area, Chicago, Miami, Houston). Strong female skew, dense ZIP coverage, ideal for urban market analysis and retail modeling.$1,500
California Fashion Audience~1.4M recordsCalifornia-based off-price luxury fashion shoppers concentrated in LA, SF Bay Area, Silicon Valley, San Diego, and surrounding suburbs. High relevance for West Coast retail, ecommerce, and brand expansion research.$1,200
East Coast Fashion Corridor~2.2M recordsConsumers across New York, New Jersey, Massachusetts, Pennsylvania, DC metro, and Florida. Suitable for regional demand analysis, audience overlap studies, and retail footprint planning.$1,500
Female-Only Fashion Audience~10.9M recordsFemale-identifying consumers nationwide with strong alignment to off-price and flash-sale fashion retail. Optimized for gender-focused modeling, research, and audience development.$2,000
Top 20 ZIP Prefixes Pack~6.1M recordsHigh-density ZIP-prefix clusters representing the strongest retail demand zones nationwide. Useful for geographic weighting, DMA modeling, and urban/suburban comparison studies.$2,500
Email-Domain Segments (Gmail / Yahoo)~10.8M recordsSplit audience files by dominant email domains (Gmail-only or Yahoo-only). Commonly used for deliverability testing, cohort comparison, and legacy vs modern user modeling.$1,000
Full US Audience (Complete Dataset)12,633,040 recordsEntire deduplicated US fashion-aligned audience with email, name, ZIP, gender, and limited DOB. Best suited for comprehensive research, modeling, and audience intelligence use.$5,000

 


This dataset contains 12,633,040 deduplicated US consumer records representing a large, geographically coherent audience strongly aligned with off-price and flash-sale luxury fashion retail behavior during the 2020–2022 period.


The audience profile closely matches the known characteristics of value-conscious, fashion-engaged US shoppers, with particularly strong coverage across California, New York, Texas, Florida, Illinois, and other major metropolitan markets.


The dataset is optimized for market research, audience analysis, geographic modeling, and lookalike development, rather than individual-level targeting.


Data Fields

Each record may include the following fields:

    • Email address

    • First name

    • Last name

    • ZIP code

    • Gender

    • Date of birth (limited availability)


 

Coverage highlights:

    • 100% email presence

    • 100% ZIP code coverage

    • ~88% female audience

    • Nationwide US distribution with dense urban clustering


FieldDescriptionFilledEmpty/InvalidFill Rate
emailEmail address12,633,0400100.0%
first_nameFirst name12,633,0373100.0%
last_nameLast name12,632,884156100.0%
zipZip code12,633,0400100.0%
countryCountry (US)12,633,0400100.0%
genderGender (F/M)12,452,093180,94798.6%
dobDate of birth382,46812,250,5723.0%


Audience Characteristics

    • Predominantly female fashion shoppers

    • Strong representation in urban and suburban retail markets

    • Concentration in high-value retail regions (CA, NY, TX, FL, IL)

    • Email domain distribution consistent with established consumer cohorts

    • Behaviorally aligned with off-price, outlet, and flash-sale fashion retail


 

Age data is sparsely available and should be treated as non-representative; the dataset is best used without strict age segmentation.


GENDER DISTRIBUTION

GenderCountPercentage
Female10,912,20487.6%
Male1,539,88912.4%
Total12,452,093100%

DATE OF BIRTH BREAKDOWN

StatusCountPercentage
Empty/Not provided12,250,57296.97%
Valid with age381,9933.02%
Invalid format4750.00%
Total12,633,040100%

AGE DISTRIBUTION (Valid DOBs Only)

Age CategoryCountPercentage
Under 1834,0578.9%
18-241,2100.3%
25-3413,5623.6%
35-44139,15736.4%
45-5493,27024.4%
55-6457,42315.0%
65+43,31411.3%
Total (Valid DOBs)381,993100%

ZIP CODE PREFIXES BY REGION

RegionStatesZip PrefixesTotal Records
West (CA dominant)CA90, 91, 92, 93, 94, 95, 96, 97, 98, 992,886,492
Southeast (FL/GA)FL, GA, SC, NC, AL30, 31, 32, 33, 34, 35, 36, 37, 38, 391,718,787
Midwest (IL/Great Lakes)IL, IN, OH, MI, WI60, 61, 62, 63, 64, 65, 66, 67, 68, 691,183,292
Northeast (NY/NJ)NY, NJ, CT, MA, PA10, 11, 12, 13, 14, 15, 16, 17, 18, 191,275,422
South Central (TX)TX, OK, AR, LA70, 71, 72, 73, 74, 75, 76, 77, 78, 791,654,459
Mid-AtlanticVA, WV, MD, DC, DE20, 21, 22, 23, 24, 25, 26, 27, 28, 291,545,579
New EnglandMA, CT, RI, VT, NH, ME00, 01, 02, 03, 04, 05, 06, 07, 08, 09802,571
Mountain/SouthwestAZ, NV, UT, CO, NM80, 81, 82, 83, 84, 85, 86, 87, 88, 89693,930
Pacific NorthwestWA, OR, ID, AK98, 99, 97337,709

Top 10 Individual Zip Prefixes

RankPrefixRegionRecordsMajor Cities
192xxxxCA (Los Angeles)446,945Los Angeles, Long Beach
260xxxxIL (Chicago)430,755Chicago, Aurora, Naperville
333xxxxFL (Miami)392,904Miami, Fort Lauderdale
411xxxxNY (NYC)391,066New York City, Brooklyn
590xxxxCA (LA West)367,599West LA, Beverly Hills
610xxxxNY (NYC)364,291Manhattan, Bronx
730xxxxGA (Atlanta)341,328Atlanta, Marietta
894xxxxCA (SF Bay)328,757San Francisco, Oakland
977xxxxTX (Houston)323,637Houston, Sugar Land
1095xxxxCA (Silicon Valley)299,979San Jose, Santa Clara

Summary Statistics

MetricValue
Total US Records12,633,040
Female Dominance87.6%
Complete Email Coverage100%
Complete Zip Coverage100%
DOB Availability3.02%
Primary Age Group (of valid DOBs)35-44 (36.4%)
Top RegionCalifornia (22.9%)
Top MetroLos Angeles (6.4%)

Email domain distribution

DomainCountDomainCount
@gmail.com5,745,732@neo.rr.com2,672
@yahoo.com5,127,223@san.rr.com2,627
@icloud.com55,321@ca.rr.com2,601
@charter.net51,530@att.com2,589
@outlook.com34,068@yaoo.com2,542
@nordstrom.com4,809@knology.net2,491
@comcast.com4,462@email.arizona.edu2,472
@umich.edu3,958@udel.edu2,437
@msu.edu3,852@usc.edu2,404
@kent.edu3,620@temple.edu2,403
@indiana.edu3,464@uga.edu2,401
@umn.edu3,450@ufl.edu2,390
@crimson.ua.edu3,348@yahoo.cn2,356
@vt.edu3,270@auburn.edu2,314
@cs.com3,183@wisc.edu2,289
@osu.edu3,103@cornell.edu2,285
@columbus.rr.com3,100@yhoo.com2,279
@satx.rr.com3,080@hotmai.com2,216
@asu.edu2,994@socal.rr.com2,203
@nyu.edu2,887@yahoo.com.mx2,169
@yahoo.co2,876@colorado.edu2,133
@psu.edu2,861@mail.usf.edu2,132
@wildblue.net2,856@ec.rr.com2,130
@mailinator.com2,774@yhaoo.com2,103
@virginia.edu2,763@live.cn2,065
@myway.com2,726@google.com2,064

Domain Distribution Summary

CategoryCountPercentage
Gmail + Yahoo10,872,95586.1%
Apple (iCloud)55,3210.4%
Microsoft (Outlook)34,0680.3%
ISPs (RR, Charter, etc.)~250,0002.0%
Educational (.edu)~75,0000.6%
Typos (yaoo, yhoo, etc.)~15,0000.1%
Other~1.4M11.5%


Intended Use Cases

This dataset is suitable for:

    • Market and audience research

    • Geographic and demographic analysis

    • Retail expansion and site selection studies

    • Audience overlap and suppression modeling

    • Lookalike and seed audience development

    • Historical consumer behavior analysis


Important Limitations & Disclosure

    • This dataset is sold strictly as-is

    • Data was compiled via multi-source matching and aggregation and manually cleaned for basic validity

    • No claim of first-party origin, direct retailer sourcing, or customer relationship is made

    • No guarantees are provided regarding deliverability, accuracy, or recency

    • Date of birth data is largely incomplete and should not be relied upon for age targeting

    • Buyer is solely responsible for legal, regulatory, and compliance obligations related to any use of the data

This product is intended for research, modeling, and analytical use. It is not marketed as a compliance-ready marketing list.

 


Sample data:

emailfirst_namelast_namezipgenderdob
[email protected]BrettMarkinson90046M
[email protected]VictoriaTatar90015F
[email protected]LISABERNSTEIN90265F
[email protected]TakaStephens91505F
[email protected]ZulemaTapia90034F
[email protected]TracyMa'ae90808F
[email protected]GLADYSFLORES92677F1980-10-23 00:00:00
[email protected]AshleyWalters27405F
[email protected]Kelly=)90650F
[email protected]dinabraun91302F
[email protected]AndriaVenturina90036F
[email protected]MichalleThompson92708F
[email protected]StaciBuckley90405F1966-08-25 00:00:00
[email protected]RobbynCoffey90303F
[email protected]catherinethompson90265F
[email protected]AlisonVolk90266F
[email protected]DanielleVandermade91355F1987-03-25 00:00:00
[email protected]AnnieBarrueta91203F
[email protected]lilyhuante90505F
[email protected]JenniferWeigel93041F1961-05-30 00:00:00
[email protected]BarbaraJohnson92325F
[email protected]VeraCuno92683F
[email protected]ClaudineGuerrero90005F
[email protected]casashabergman90802F
[email protected]J. J.CHENG90029F
[email protected]PatriceRichardson90631F
[email protected]JulieLee91755F
[email protected]JazmyneBacani90720F1990-10-11 00:00:00
[email protected]HeidiVandermade90048F2007-06-04 00:00:00

Additional information

Product tier (see table below)

Metro Core Markets Pack, California Fashion Audience, East Coast Fashion Corridor, Female-Only Fashion Audience, Top 20 ZIP Prefixes Pack, Email-Domain Segments (Gmail / Yahoo), Full US Audience (Complete Dataset)

int(0)