Your online privacy has likely been compromised
Data brokers freely collect and resell records with your personal information, spreading intimate details from one person to another. Brokers and marketers may know more about us than our own families.
There are dozens of sources for online data miners
Data miners have an access to public records, social network shares, likes, subscriptions, telephone orders and online transactions, including loyalty rewards programs, extended warranties, registration cards, donations to non-profit organizations, memberships and online forms. It's almost impossible to participate in any activity online and stay unnoticed.
Your records are being used for marketing purposes
Brokers store data about nearly every U.S. consumer. Your purchase behavior, financial habits, personal interests and consumer information is a valuable commodity to marketers. They claim to do this in order to enhance your shopping experience and offer advertising targeted to your interests. As a result, you just spend more and more.
Your personal records are vulnerable and accessible
Your online profiles and personal information may already appear on people search platforms like spokeo.com, peekyou.com, nubwer.com, peoplefinders.com, mylife.com, etc., all without your knowledge or consent. Virtually anyone can search these sites and gain access to your private data, and there’s simply no telling how they may use it.
Inaccurate data could harm your reputation
Not every piece of personal data about you may be accurate or current. Data brokers collect this information but don't bother to verify its validity, and any untrue or erroneous information about you could harm your online reputation.
Some Data Aggregated by Data Brokers
Identifying Data
- Name
- Address
- Birth date
- Phone numbers
- Email address
- Social security number
- Driver’s license number
Financial Data
- Annual income
- Credit score
- Credit card info
- Ownership of stocks or bonds
- Recent mortgage borrower
- Life insurance
- Loans
Demographic Data
- Age
- Height
- Weight
- Marital status
- Country of origin
- Education level
- Occupation
Purchase Behavior
- Amount spent on goods
- Buying activity
- Number of orders
- Buying channel preference
- Types of purchases
- Type of food purchased
- Type of entertainment purchased
Health Data
- Ailments and prescriptions
- Allergy sufferer
- Health insurance plan
- Weight loss & supplements
- Disability insurance
- Purchase history in health topics
- Smoker in the household
ALSO
- Court and public record data
- Social media and technology data
- General interest data
- Home and neighborhood data
- Vehicle data
- Travel data
- and other biographical facts