ACA Health Insurance Purchasers Age 50-64 Mailing List

A 50–64-year-old purchasing health insurance through the Affordable Care Act (ACA) marketplace is often in a complex transitional phase of life. These ""near-retirees"" may be self-employed, an early retiree, or facing health and financial challenges that make employer-sponsored or other private coverage prohibitively expensive. Affordability is a major concern, as their premiums are age-rated and they are more likely to have chronic health conditions. Demographics and employment Income levels: This group has diverse income levels, and their eligibility for subsidies is critical for accessing affordable coverage. Some are middle-to-high-income individuals with incomes above 400% of the federal poverty level. Many have lower incomes, with about half of affected consumers aged 50–64 having household incomes below 150% of the federal poverty level. Employment status: A significant portion of this demographic relies on the ACA marketplace due to their work situation. Self-employed: About 38% of those with incomes over 400% FPL who would lose subsidies are self-employed. Early retirees: Many are early retirees who are not yet eligible for Medicare. ""Job lock"": Even with the ACA, many older workers report delaying retirement or staying at a job specifically for employer-sponsored health insurance. Rural residence: Older adults living in rural areas are disproportionately represented among ACA enrollees who would be affected by changes in premium tax credits.

SEGMENTS COUNTS THROUGH 10/12/2025
1,034,353 TOTAL UNIVERSE / BASE RATE $95.00/M
 1,034,353 AGE 50-64/0-12 MONTH     $95.00/M
 102,455 AGE 50-64/MONTHLY HL     $15.00/M
DESCRIPTION

This list was curated by our group of data experts with various data backgrounds spanning over 35 years.   Our experts begin by analyzing consumers who self-reported their intent to purchase a specific product, their purchasing history regarding specific products, and their preferred channel as compared to those that did not.  The resulting algorithm is applied to a dataset of only known buyers and responders.  These filters will always generate a higher-than-average response rate in any channel. The study data sets were augmented with demographic, lifestyle, interest, behavioral, financial, recency, frequency, monetary, and other transactional data, then modeled to create this responsive specific audience of intenders.  There are over 3,000 data sources that contribute information to this unique solution.

 

 
ORDERING INSTRUCTIONS
MARKET: CONSUMER
CHANNELS: Mailing List Email List Telephone List  
SOURCE: OPT-IN E-MAIL, CREDIT CARDS, DIRECT RESPONSE, GIFT BUYERS, BUYERS, SINGLE BUYERS, MULTI SOURCED, AGENT SOLD, CASH BUYERS, DIRECT MAIL SOLD, CONTINUITY/CLUB/BUYER, RETAIL/POP, MULTI-BUYERS, CATALOG, LIFESTYLE QUESTIONNAIRE, INTERNET/ON-LINE 
PRIVACY: UNKNOWN 
DMA?: NO
STATUS: STANDARD PROVIDER
GEO: USA 
GENDER: 57% FEMALE 43% MALE  
SELECTS
100'S AVAILABLE   
DISCRETIONARY SPENDING INCOME   
DWELLING TYPE   
ETHNICITY   
EXACT AGE (YYMM BORN)   
GEOGRAPHY OR RADIUS   
HOME VALUE   
HOMEOWNER/RENTER   
LENGTH OF RESIDENCE   
MARITAL STATUS   
NARROW INCOME   
NET WORTH   
RECENCY   
SPANISH SPEAKING (LANGUAGE)   
TRANSACTIONAL DATA   
WEALTH (INVESTIBLE ASSETS)   
ADDRESSING
KEY CODING  $0.00/F
COUNTY FIPS & COUNTY NAME  
FILE DOWNLOAD  $25.00/F
FTP  $25.00/F
RADIUS