1. Demographics
1.1. Age Groups
1.1.1. 18-24
1.1.2. 25-34
1.1.3. 35-44
1.1.4. 45-54
1.2. Gender
1.2.1. Male
1.2.2. Female
1.3. Marital Status
1.3.1. Single
1.3.2. In a Relation
1.3.3. Married
1.3.4. Divorced
1.4. Family Size
1.4.1. Couples
1.4.2. Couples with babies
1.4.3. Couples with babies & Parents
1.5. Income Status
1.5.1. Unemployed
1.5.2. 0-30K
1.5.3. 30-70K
1.5.4. 70-1.5 Lakh
1.5.5. 1.5-3 Lakh
1.5.6. Above 3 Lakh
1.6. Education Status
1.6.1. 12th passout
1.6.2. Under Graduate
1.6.3. Graduate
1.6.4. Graduation Drop Out
1.7. Profession
1.7.1. Student
1.7.2. Self Employed
1.7.3. Job Person
1.7.4. Business Person
2. Geographic
2.1. Country
2.1.1. India
2.1.2. Foregion
2.2. State
2.2.1. Rajasthan
2.2.2. UP
2.2.3. Bihar
2.2.4. MP
2.2.5. Gujrat
2.2.6. Maharastra
2.2.7. Utrakhand
2.2.8. Himachal Pradesh
2.2.9. Andhra Pradesh
2.2.10. Arunachal Pradesh
2.2.11. Assam
2.2.12. Haryana
2.2.13. Punjab
2.2.14. Jharkhand
2.2.15. Sikkim
2.2.16. Karnataka
2.2.17. Kerala
2.2.18. Manipur
2.2.19. Meghalaya
2.2.20. Mizoram
2.2.21. Goa
2.2.22. Tamil Nadu
2.2.23. Telangana
2.2.24. Tripura
2.2.25. West Bangal
2.2.26. Odisha
2.2.27. Nagaland
2.2.28. Chhattisgarh
2.3. City
2.3.1. Churu
2.3.2. Jaipur
2.3.3. Jodhpur
2.3.4. Jhunjhunu
2.3.5. Bikaner
2.3.6. Dausa
2.3.7. kota
2.3.8. Bhilwara
2.3.9. Sikar
2.3.10. Ganganar
2.3.11. Hanumangarh
2.3.12. Banswara
2.3.13. Bundi
2.3.14. Baran
2.3.15. Ajmer
2.3.16. Karoli
2.3.17. Jaisalmer
2.3.18. Pali
2.3.19. Nagor
2.3.20. Chittorgarh
2.3.21. Barmer
2.3.22. Dholpur
2.3.23. Bharatpur
2.3.24. Dungargarh
2.3.25. Jalore
2.3.26. jhalawad
2.3.27. Sirohi
2.3.28. Swai Madhopur
2.3.29. Pratapgarh
2.3.30. Rajsamand
2.3.31. Tonk
2.3.32. Udaipur
2.3.33. Alwar
3. Behavioral
3.1. Purchase Behavior
3.1.1. Habitual Purchasing Behavior
3.1.2. Discount Hunters Behavior
3.1.3. Trend Following Behavior
3.2. Online Shoping Habits
3.2.1. Bargain Hunters
3.2.2. Quick Purchasers
3.2.3. Comparison Shoppers
3.3. Product Usage
3.3.1. Frequntly Users
3.3.2. Ocasionally users
3.3.3. Seasonal Users
3.4. Time Spent On Site
3.4.1. Short Time Visitors
3.4.2. Long Time Visitors
3.4.3. Bounce Visitors
3.5. Device Type
3.5.1. Desktop
3.5.1.1. Computers
3.5.1.1.1. Mac users
3.5.1.1.2. Windows User
3.5.1.1.3. Linux Users
3.5.1.1.4. Ubntu users
3.5.1.2. Laptops
3.5.1.2.1. Mac users
3.5.1.2.2. Windows User
3.5.1.2.3. Linux Users
3.5.1.2.4. Ubntu users
3.5.2. Tablet
3.5.2.1. Ipad Os
3.5.2.2. Android
3.5.2.3. Window
3.5.3. Mobile
3.5.3.1. Android
3.5.3.2. IOS
4. Interests and Hobbies
4.1. Sports
4.1.1. Football
4.1.2. Cricket
4.1.3. Bassketball
4.1.4. Tennis
4.1.5. Badminton
4.2. Gaming
4.2.1. Video Gaming
4.2.2. Mobile Games
4.2.3. PC Games
4.3. Fitness
4.3.1. Yoga
4.3.2. Gym
4.3.3. Running
4.4. Music
4.4.1. Clasical
4.4.2. Pop
4.5. Movies
4.5.1. Action
4.5.2. Romantic
4.5.3. Comedy
4.5.4. Thriller/Horror
4.6. Reading
4.6.1. Books
4.6.2. Blogs
4.6.3. Articles
4.6.4. Maxzine
4.6.5. News pappers
4.7. Travel
4.7.1. By Road
4.7.1.1. Bus
4.7.1.2. Cars
4.7.1.3. Bike
4.7.1.4. Train
4.7.2. By Air
4.7.2.1. Airoplane
4.7.2.2. Helicopter
4.7.3. By Water
4.7.3.1. Ships
4.7.3.2. Boats
4.8. Cooking
4.9. Gardening
4.10. Art & Craft
4.10.1. Drawings
4.10.2. Designing
4.10.3. DIY Crafting
4.10.4. Painting
4.10.5. Paper Crafting