Android application Indian Fashion: Cook & Style developed by MagicTrunk is listed under category Game Simulation. According to Google Play Indian Fashion: Cook & Style achieved more than 5,000,000 installs. Indian Fashion: Cook & Style currently has 6,933 ratings with average rating value of 4.27. The current percentage of ratings achieved in last 30 days is 71.09%, percentage of ratings achieved in last 60 days is 510.04%. Indian Fashion: Cook & Style has the current market position #50440 by number of ratings. A sample of the market history data for Indian Fashion: Cook & Style can be found below. Last update on 2024-04-07.
| Title: | Indian Fashion: Cook & Style |
|---|---|
| Developer: | MagicTrunk |
| Category: | Game Simulation |
| Price: | Free |
| System: | Android |
| Total ratings: | 6933 |
|---|---|
| Growth (30 days): | 71.09% |
| Growth (60 days): | 510.04% |
| Average rating: | 4.27 |
| Installs (achieved): | 5,000,000+ |
|---|---|
| Installs (estimated): | 5,000,000 |
| 5 star ratings: | 4,930 |
|---|---|
| 4 star ratings: | 462 |
| 3 star ratings: | 616 |
| 2 star ratings: | 308 |
| 1 star ratings: | 616 |
Screenshots
Download level stats
| 2024-04-02: | Android application Indian Fashion: Cook & Style achieved 5,000,000 installs. |
|---|---|
| 2024-02-03: | Android application Indian Fashion: Cook & Style achieved 1,000,000 installs. |
| 2024-01-01: | Android application Indian Fashion: Cook & Style achieved 500,000 installs. |
Ratings
Number of ratings for Indian Fashion: Cook & Style.
Number of ratings for Indian Fashion: Cook & Style.
Installs (*estimated)
Estimated number of installs on Google Play.
Estimated number of installs on Google Play.
Average rating
Average rating value on Google Play. Given by active users of the application.
Average rating value on Google Play. Given by active users of the application.
Market lead percentage
Ratings count comparing to the market leading app.
Ratings count comparing to the market leading app.
Rating distribution
Rating distribution given by active users.
Rating distribution given by active users.
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