Starting off my new project for predicting users who might be considering to purchase premium services. The goal is to help marketing team to identify target customers for their marketing campaign.

1. Spotify Data
Predicting Potential Premium Subscribers
-Anupama Kamdi
-Milind Jagre

2. About Spotify
Spotify is a music-listening Social
networking website
Operates under “freemium”
model
Provides basic features for free of
cost
Additional features are provided
for premium users with added cost

3. About Data
86682 records
27 predictors
No Missing values
All Numeric variables

4. Attribute
Information
Attribute Name Type Explaination
Adopter Binomial User become subscriber within 6 months
after marketing campaign
User_id Integer Unique user id
Age Integer Age in years
Male Integer (0 or 1) 1-male; 0-female
Friend_cnt Integer Number of friends current user has
Avg_friend_age Real Average age of friends
Avg_friend_male Real Percentage of males among friends
Friend_country_cnt Integer number of different countries among friends
Subscriber_friend_cnt Integer number of friends who are subscribers
songsListened Integer total number of tracks this user listened
lovedTracks Integer total number of songs that the user “liked”
Posts Integer number of forum or discussion board posts
Playlists Integer number of playlists created
Shouts Integer number of wall posts received
Good_country Integer (0 or 1) 0-where free usage is limited, 1-less limited.
Tenure Integer number of months since user registered
Delta_<attribute-name> integer Change in the corresponding attribute

5. Data Snapshot
adopter user_id male age friend_cnt avg_friend_age avg_friend_male friend_country_cnt subscriber_friend_cnt songsListened lovedTracks
0 10 0 24 20 26.33333333 0.777777778 6 0 37804 4
0 58 1 29 12 26.9 0.818181818 6 1 15955 19
0 72 0 22 4 21 1 2 0 31441 7
0 121 0 27 1 29 1 1 0 0 0
0 137 1 22 4 21.25 0.75 1 0 774 0
0 178 1 20 19 19.21428571 0.733333333 5 0 25728 40
0 241 1 24 4 26 0.5 2 0 15066 0
0 261 1 21 2 23 0.5 1 0 5098 0
0 270 1 18 27 23.47368421 0.5 12 0 84287 5
0 281 1 23 21 28.4 0.6875 9 2 16498 0
0 306 0 18 3 18.5 0.666666667 1 0 14036 1
0 320 1 23 5 25.5 0.8 1 1 14823 1
0 322 1 21 2 24 0.5 1 0 12643 0
0 336 1 24 131 23.90740741 0.431034483 22 4 3457 227
0 346 1 23 9 22.44444444 0.444444444 2 0 44342 132
0 355 1 23 15 21.55555556 0.461538462 2 1 7506 0
0 366 1 21 3 23.33333333 0.666666667 1 0 431 0
0 382 1 22 13 21.90909091 0.769230769 3 1 2409 12
0 395 1 22 12 20.66666667 0.375 1 0 37407 0

6. Descriptive Statistics
1540 Adopters, 85142
Non Adopters
Average user Age= 24
Songs listened by
users: Average=18193;
Minimum=0;
Maximum=922370
Male Adopters= 1117;
Female Adopters= 423
Max Songs listened by
adopters= 325141

7. To Be
Continued….