These are The 98 Data Points Facebook Uses To Target You With Relevant Ads


    fbFacebook users are always bombarded with advertisements. Sometimes it is shocking how relevant they are.

    For instance, you may have been Googling about computer shops some moments earlier, and the first ad you see upon logging into Facebook is that of a computer shop.

    It has long been a mystery what criteria the social media giant uses to target its users, but now they have released a list of data points they use.

    Using onsite activity, location setting, and internet connection, Facebook is able to show ‘useful and relevant’ ads.

    Every day, we tell Facebook about that job promotion, whether we’re getting married, buying a car, going on a vacation, what TV show we’re interested, what brands we use etc.

    This is through normal activity like liking pages, commenting and updating our profiles.

    Here are the key points Facebook uses to show us targeted ads.

    1. Location

    2. Age

    3. Generation

    4. Gender

    5. Language

    6. Education level

    7. Field of study

    8. School

    9. Ethnic affinity

    10. Income and net worth

    11. Home ownership and type

    12. Home value

    13. Property size

    14. Square footage of home

    15. Year home was built

    16. Household composition

    17. Users who have an anniversary within 30 days

    18. Users who are away from family or hometown

    19. Users who are friends with someone who has an anniversary, is newly married or engaged, recently moved, or has an upcoming birthday

    20. Users in long-distance relationships

    21. Users in new relationships

    22. Users who have new jobs

    23. Users who are newly engaged

    24. Users who are newly married

    25. Users who have recently moved

    26. Users who have birthdays soon

    27. Parents

    28. Expectant parents

    29. Mothers, divided by “type” (soccer, trendy, etc.)

    30. Users who are likely to engage in politics

    31. Conservatives and liberals

    32. Relationship status

    33. Employer

    34. Industry

    35. Job title

    36. Office type

    37. Interests

    38. Users who own motorcycles

    39. Users who plan to buy a car (and what kind/brand of car, and how soon) 

    40. Users who bought auto parts or accessories recently

    41. Users who are likely to need auto parts or services

    42. Style and brand of car you drive

    43. Year car was bought

    44. Age of car

    45. How much money user is likely to spend on next car

    46. Where user is likely to buy next car

    47. How many employees your company has

    48. Users who own small businesses

    49. Users who work in management or are executives

    50. Users who have donated to charity (divided by type)

    51. Operating system

    52. Users who play canvas games

    53. Users who own a gaming console

    54. Users who have created a Facebook event

    55. Users who have used Facebook Payments

    56. Users who have spent more than average on Facebook Payments

    57. Users who administer a Facebook page

    58. Users who have recently uploaded photos to Facebook

    59. Internet browser

    60. Email service

    61. Early/late adopters of technology

    62. Expats (divided by what country they are from originally)

    63. Users who belong to a credit union, national bank or regional bank

    64. Users who investor (divided by investment type)

    65. Number of credit lines

    66. Users who are active credit card users

    67. Credit card type

    68. Users who have a debit card

    69. Users who carry a balance on their credit card

     70. Users who listen to the radio

    71. Preference in TV shows

    72. Users who use a mobile device (divided by what brand they use)

    73. Internet connection type

    74. Users who recently acquired a smartphone or tablet

    75. Users who access the Internet through a smartphone or tablet

    76. Users who use coupons

    77. Types of clothing user’s household buys

    78. Time of year user’s household shops most

    79. Users who are “heavy” buyers of beer, wine or spirits

    80. Users who buy groceries (and what kinds)

    81. Users who buy beauty products

    82. Users who buy allergy medications, cough/cold medications, pain relief products, and over-the-counter meds

    83. Users who spend money on household products

    84. Users who spend money on products for kids or pets, and what kinds of pets

    85. Users whose household makes more purchases than is average

    86. Users who tend to shop online (or off)

    87. Types of restaurants user eats at

    88. Kinds of stores user shops at

    89. Users who are “receptive” to offers from companies offering online auto insurance, higher education or mortgages, and prepaid debit cards/satellite TV

    90. Length of time user has lived in house

    91. Users who are likely to move soon

    92. Users who are interested in the Olympics, fall football, cricket or Ramadan

    93. Users who travel frequently, for work or pleasure

    94. Users who commute to work

    95. Types of vacations user tends to go on

    96. Users who recently returned from a trip

    97. Users who recently used a travel app

    98. Users who participate in a timeshare

    Source: Nairobi Wire