Facebook Users datapoints

	A	B	C	F
1	User Data Point		Relevance for a subscription system	source Washington Post
2	Income and net worth	x	Propensity to pay for news
3	Home value	x	Propensity to pay for news
4	Users who are away from family or hometown	x	More willing to get news from home
5	Users who are friends with someone who has an anniversary, is newly married or engaged, recently moved, or has an upcoming birthday	x	Oh, a subscription to (...) what a cool present
6	Users who have new jobs	x	New job= new needs for information
7	Users who have recently moved	x	More willing to get news from home
8	Conservatives and liberals	x	Important to select the commercial message
9	Employer	x	Segmentation
10	Industry	x	Segmentation
11	Job title	x	The higher in the food chain, the more likely to pay
12	Interests	x	Important segmentation data
13	Users who plan to buy a car (and what kind/brand of car, and how soon)	x	Important segmentation data
14	How much money user is likely to spend on next car	x
15	Users who work in management or are executives	x	The higher in the food chain, the more likely to pay
16	Expats (divided by what country they are from originally)	x	More willing to get news from home
17	Users who investor (divided by investment type)	x	Important segmentation data
18	Users who recently acquired a smartphone or tablet	x	Right time to push a mobile subscrpition
19	Users who access the Internet through a smartphone or tablet	x	Right time to push a mobile subscrpition
20	Users who travel frequently, for work or pleasure	x	More willing to get news from home
21	Users who commute to work	x	Could be intrested by a good podcast
22	Education level	x	Propensity to pay for news
23	Field of study	x	Important segmentation data
24	Office type
25	Location
26	Age
27	Generation
28	Gender
29	Language
30	School
31	Ethnic affinity
32	Home ownership and type
33	Property size
34	Square footage of home
35	Year home was built
36	Household composition
37	Users who have an anniversary within 30 days
38	Users in long-distance relationships
39	Users in new relationships
40	Users who are newly engaged
41	Users who are newly married
42	Users who have birthdays soon
43	Parents
44	Expectant parents
45	Mothers, divided by “type” (soccer, trendy, etc)
46	Users who are likely to engage in politics
47	Relationship status
48	Users who own motorcycles
49	Users who bought auto parts or accessories recently
50	Users who are likely to need auto parts or services
51	Style and brand of car you drive
52	Year car was bought
53	Age of car
54	Where user is likely to buy next car
55	How many employees your company has
56	Users who own small businesses
57	Users who have donated to charity (divided by type)
58	Operating system
59	Users who play canvas games
60	Users who own a gaming console
61	Users who have created a Facebook event
62	Users who have used Facebook Payments
63	Users who have spent more than average on Facebook Payments
64	Users who administer a Facebook page
65	Users who have recently uploaded photos to Facebook
66	Internet browser
67	Email service
68	Early/late adopters of technology
69	Users who belong to a credit union, national bank or regional bank
70	Number of credit lines
71	Users who are active credit card users
72	Credit card type
73	Users who have a debit card
74	Users who carry a balance on their credit card
75	Users who listen to the radio
76	Preference in TV shows
77	Users who use a mobile device (divided by what brand they use)
78	Internet connection type
79	Users who use coupons
80	Types of clothing user’s household buys
81	Time of year user’s household shops most
82	Users who are “heavy” buyers of beer, wine or spirits
83	Users who buy groceries (and what kinds)
84	Users who buy beauty products
85	Users who buy allergy medications, cough/cold medications, pain relief products, and over-the-counter meds
86	Users who spend money on household products
87	Users who spend money on products for kids or pets, and what kinds of pets
88	Users whose household makes more purchases than is average
89	Users who tend to shop online (or off)
90	Types of restaurants user eats at
91	Kinds of stores user shops at
92	Users who are “receptive” to offers from companies offering online auto insurance, higher education or mortgages, and prepaid debit cards/satellite TV
93	Length of time user has lived in house
94	Users who are likely to move soon
95	Users who are interested in the Olympics, fall football, cricket or Ramadan
96	Types of vacations user tends to go on
97	Users who recently returned from a trip
98	Users who recently used a travel app
99	Users who participate in a timeshare
100