Consistent Humanitarian Donors-RFM Donor Data! Mailing List

People who to donate to humanitarian causes are often those with a higher income, older individuals, particularly Baby Boomers, and people who are strongly motivated by personal values and beliefs; however, individuals from all income levels contribute to charitable giving, with most donations coming from average citizens with moderate income levels. Key points about people who donate to humanitarian causes: Age: Older generations, like Baby Boomers, tend to donate more frequently and in larger amounts compared to younger generations. Income level: Individuals with higher incomes are more likely to donate significantly to humanitarian causes. Motivation: People who strongly align their donations with their personal values and beliefs are more likely to be regular donors. Donation frequency: Many people donate at least once a year, with some opting for recurring donations on a monthly or yearly basis. Factors influencing donation frequency: Exposure to causes: People who are regularly exposed to information about humanitarian issues through news, social media, or personal connections might be more likely to donate. Personal experiences: Individuals who have personally experienced hardship or challenges similar to those they are donating to may be more likely to give. Religious beliefs: Some individuals may be motivated to donate due to their religious faith and teachings.

SEGMENTS COUNTS THROUGH 06/04/2025
1,878,121 TOTAL UNIVERSE / BASE RATE $95.00/M
 988,201 AGE 50+/0-12 MONTH     $95.00/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
POPULARITY: 99
MARKET: CONSUMER
CHANNELS: Mailing List Email List Telephone List  
SOURCE: DIRECT RESPONSE, SINGLE BUYERS, CREDIT CARDS, CONTINUITY/CLUB/BUYER, BUYERS, INTERNET/ON-LINE, MULTI SOURCED, OPT-IN E-MAIL, RETAIL/POP, GIFT BUYERS, LIFESTYLE QUESTIONNAIRE, AGENT SOLD, DIRECT MAIL SOLD, CASH BUYERS, MULTI-BUYERS, CATALOG 
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  
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