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US Off-Price Luxury Fashion Audience — 12.6M Records

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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.

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Description

Published February, 2026


Product Slices & Pricing Tiers

Tier Name Coverage Description Price
Metro Core Markets Pack ~3.5M records Consumers 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 records California-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 records Consumers 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 records Female-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 records High-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 records Split 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 records Entire 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


Field Description Filled Empty/Invalid Fill Rate
email Email address 12,633,040 0 100.0%
first_name First name 12,633,037 3 100.0%
last_name Last name 12,632,884 156 100.0%
zip Zip code 12,633,040 0 100.0%
country Country (US) 12,633,040 0 100.0%
gender Gender (F/M) 12,452,093 180,947 98.6%
dob Date of birth 382,468 12,250,572 3.0%


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

Gender Count Percentage
Female 10,912,204 87.6%
Male 1,539,889 12.4%
Total 12,452,093 100%

DATE OF BIRTH BREAKDOWN

Status Count Percentage
Empty/Not provided 12,250,572 96.97%
Valid with age 381,993 3.02%
Invalid format 475 0.00%
Total 12,633,040 100%

AGE DISTRIBUTION (Valid DOBs Only)

Age Category Count Percentage
Under 18 34,057 8.9%
18-24 1,210 0.3%
25-34 13,562 3.6%
35-44 139,157 36.4%
45-54 93,270 24.4%
55-64 57,423 15.0%
65+ 43,314 11.3%
Total (Valid DOBs) 381,993 100%

ZIP CODE PREFIXES BY REGION

Region States Zip Prefixes Total Records
West (CA dominant) CA 90, 91, 92, 93, 94, 95, 96, 97, 98, 99 2,886,492
Southeast (FL/GA) FL, GA, SC, NC, AL 30, 31, 32, 33, 34, 35, 36, 37, 38, 39 1,718,787
Midwest (IL/Great Lakes) IL, IN, OH, MI, WI 60, 61, 62, 63, 64, 65, 66, 67, 68, 69 1,183,292
Northeast (NY/NJ) NY, NJ, CT, MA, PA 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 1,275,422
South Central (TX) TX, OK, AR, LA 70, 71, 72, 73, 74, 75, 76, 77, 78, 79 1,654,459
Mid-Atlantic VA, WV, MD, DC, DE 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 1,545,579
New England MA, CT, RI, VT, NH, ME 00, 01, 02, 03, 04, 05, 06, 07, 08, 09 802,571
Mountain/Southwest AZ, NV, UT, CO, NM 80, 81, 82, 83, 84, 85, 86, 87, 88, 89 693,930
Pacific Northwest WA, OR, ID, AK 98, 99, 97 337,709

Top 10 Individual Zip Prefixes

Rank Prefix Region Records Major Cities
1 92xxxx CA (Los Angeles) 446,945 Los Angeles, Long Beach
2 60xxxx IL (Chicago) 430,755 Chicago, Aurora, Naperville
3 33xxxx FL (Miami) 392,904 Miami, Fort Lauderdale
4 11xxxx NY (NYC) 391,066 New York City, Brooklyn
5 90xxxx CA (LA West) 367,599 West LA, Beverly Hills
6 10xxxx NY (NYC) 364,291 Manhattan, Bronx
7 30xxxx GA (Atlanta) 341,328 Atlanta, Marietta
8 94xxxx CA (SF Bay) 328,757 San Francisco, Oakland
9 77xxxx TX (Houston) 323,637 Houston, Sugar Land
10 95xxxx CA (Silicon Valley) 299,979 San Jose, Santa Clara

Summary Statistics

Metric Value
Total US Records 12,633,040
Female Dominance 87.6%
Complete Email Coverage 100%
Complete Zip Coverage 100%
DOB Availability 3.02%
Primary Age Group (of valid DOBs) 35-44 (36.4%)
Top Region California (22.9%)
Top Metro Los Angeles (6.4%)

Email domain distribution

Domain Count Domain Count
@gmail.com 5,745,732 @neo.rr.com 2,672
@yahoo.com 5,127,223 @san.rr.com 2,627
@icloud.com 55,321 @ca.rr.com 2,601
@charter.net 51,530 @att.com 2,589
@outlook.com 34,068 @yaoo.com 2,542
@nordstrom.com 4,809 @knology.net 2,491
@comcast.com 4,462 @email.arizona.edu 2,472
@umich.edu 3,958 @udel.edu 2,437
@msu.edu 3,852 @usc.edu 2,404
@kent.edu 3,620 @temple.edu 2,403
@indiana.edu 3,464 @uga.edu 2,401
@umn.edu 3,450 @ufl.edu 2,390
@crimson.ua.edu 3,348 @yahoo.cn 2,356
@vt.edu 3,270 @auburn.edu 2,314
@cs.com 3,183 @wisc.edu 2,289
@osu.edu 3,103 @cornell.edu 2,285
@columbus.rr.com 3,100 @yhoo.com 2,279
@satx.rr.com 3,080 @hotmai.com 2,216
@asu.edu 2,994 @socal.rr.com 2,203
@nyu.edu 2,887 @yahoo.com.mx 2,169
@yahoo.co 2,876 @colorado.edu 2,133
@psu.edu 2,861 @mail.usf.edu 2,132
@wildblue.net 2,856 @ec.rr.com 2,130
@mailinator.com 2,774 @yhaoo.com 2,103
@virginia.edu 2,763 @live.cn 2,065
@myway.com 2,726 @google.com 2,064

Domain Distribution Summary

Category Count Percentage
Gmail + Yahoo 10,872,955 86.1%
Apple (iCloud) 55,321 0.4%
Microsoft (Outlook) 34,068 0.3%
ISPs (RR, Charter, etc.) ~250,000 2.0%
Educational (.edu) ~75,000 0.6%
Typos (yaoo, yhoo, etc.) ~15,000 0.1%
Other ~1.4M 11.5%


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)

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