Consumer Mobile App Usage Stats
This dataset provides daily, aggregated mobile app usage statistics, including launch counts, session lengths, and retention rates, segmented by platform, country, and device type. It enables detailed analysis of user engagement, retention, and growth trends across different mobile applications and markets, supporting strategic decisions for app development and marketing.
Sample rows
preview · 8 of 202 rows · all 15 columns| app_idstring | device_typestring | min_session_length_secondsfloat | countrystring | app_namestring | platformstring | datedate | total_launchesinteger | unique_usersinteger | avg_session_length_secondsfloat | median_session_length_secondsfloat | max_session_length_secondsfloat | day_1_retention_ratefloat | day_7_retention_ratefloat | day_30_retention_ratefloat |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| social.chat.whisper | smartphone | 7.2 | US | Whisper | iOS | 2024-06-02 | 4280 | 3550 | 110.8 | 101.2 | 790.5 | 62.3 | 34.2 | 19.6 |
| music.stream.jamzone | tablet | 33.7 | KR | JamZone | Android | 2024-06-03 | 13240 | 10500 | 1246.2 | 1189.3 | 3900.8 | 95.4 | 85.2 | 68.1 |
| shopping.deals.dealio | smartphone | 11.3 | GB | Dealio | iOS | 2024-06-04 | 3905 | 3320 | 92.2 | 88.1 | 970.6 | 56.7 | 28.4 | 13.2 |
| fitness.run.runfast | tablet | 52.1 | SE | RunFast | Android | 2024-06-05 | 16130 | 11020 | 1807.5 | 1740.1 | 5600.9 | 97.2 | 91.7 | 72.2 |
| video.player.flicks | tablet | 41.3 | AU | Flicks | iOS | 2024-06-06 | 10500 | 8300 | 1548.7 | 1526.1 | 4200.6 | 89.3 | 72.1 | 50.6 |
| music.listen.melofy | tablet | 24.5 | CA | Melofy | Android | 2024-06-07 | 13230 | 11080 | 1003.4 | 971.2 | 3200.4 | 87.6 | 76.2 | 56.7 |
| social.share.snapd | smartphone | 10.2 | FR | Snapd | iOS | 2024-06-08 | 5720 | 4430 | 194.3 | 183.7 | 710.2 | 49.8 | 28.1 | 15.7 |
| reading.books.readit | tablet | 37.2 | NL | ReadIt | Android | 2024-06-09 | 8900 | 6720 | 1344.9 | 1322.2 | 3200.7 | 89.9 | 78.5 | 60.1 |
| shopping.food.eatup | smartphone | 9.7 | IN | EatUp | iOS | 2024-06-10 | 2370 | 1940 | 73.9 | 67.5 | 402.8 | 40.3 | 19.4 | 7.2 |
| editor.photo.pixly | smartphone | 18.1 | AE | Pixly | Android | 2024-06-11 | 3660 | 2860 | 198.7 | 188.2 | 1116.1 | 53.8 | 22.7 | 12.6 |
| finance.budget.trackit | smartphone | 0 | BR | TrackIt | Android | 2024-06-12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| weather.report.skycast | smartphone | 0.6 | DE | SkyCast | Android | 2024-06-13 | 17 | 13 | 4.2 | 3.9 | 18.9 | 2.1 | 0.7 | 0.2 |
| utility.tools.countit | smartphone | 0.2 | MX | CountIt | Android | 2024-06-14 | 1 | 1 | 0.3 | 0.3 | 0.4 | 0 | 0 | 0 |
| travel.guide.rover | smartphone | 5.2 | ZA | Rover | Android | 2024-06-15 | 208 | 180 | 41.9 | 39.4 | 128.5 | 7.5 | 2.4 | 1.2 |
| education.kids.learnup | tablet | 33.4 | JP | LearnUp | iOS | 2024-06-16 | 290 | 210 | 580.6 | 570.2 | 2100.8 | 88.1 | 62.7 | 37.2 |
| language.study.lingo | tablet | 42.8 | IT | Lingo | Android | 2024-06-17 | 110 | 95 | 110.3 | 109.1 | 632.5 | 95.2 | 67.7 | 29.6 |
| kids.games.funzone | tablet | 38.9 | ES | FunZone | iOS | 2024-06-18 | 450 | 350 | 320.7 | 310.7 | 1800.2 | 75.2 | 45.7 | 22.8 |
| finance.invest.trackpro | smartphone | 0.1 | SG | TrackPro | Android | 2024-06-19 | 12 | 7 | 0.6 | 0.4 | 1.2 | 0 | 0 | 0 |
| editor.video.clipit | smartphone | 16.2 | US | ClipIt | iOS | 2024-06-20 | 2150 | 1720 | 191.2 | 179.6 | 1007.8 | 54.1 | 24.7 | 10.9 |
| social.video.quickvid | smartphone | 6.7 | CA | QuickVid | Android | 2024-06-02 | 5950 | 4760 | 138.4 | 131.6 | 915.3 | 58.8 | 39.4 | 21.3 |
What the 202 rows show
from the 202-row sampleTablet (device type) stands out: mean min_
- 22.3median min_
session_ length_ seconds - 2platforms
- 3,124median total_
launches - 2,279median unique_
users - 235.0median avg_
session_ length_ seconds - 222.5median median_
session_ length_ seconds
Median 22.3, from 0.0 to 62.1.
- string 5
- integer 2
- float 7
- date 1
Columns
15 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 5 columns | |||
app_id | string | Unique identifier for the mobile application | social.chat.whisper |
app_name | string | Human-readable name of the mobile application | Whisper |
platform | string | Mobile operating system platform (e.g., iOS, Android)iOS · Android | iOS |
country | string | Country where the usage statistics were collected (ISO 3166-1 alpha-2 code)optional | US |
device_type | string | Type of device (e.g., smartphone, tablet)smartphone · tablet · optional | smartphone |
| Numbers 9 columns | |||
total_launches | integer | Total number of app launches on the specified date0 or more | 4280 |
unique_users | integer | Number of unique users who launched the app on the specified date0 or more | 3550 |
avg_session_length_seconds | float | Average session length in seconds for all sessions on the specified date0 or more | 110.8 |
median_session_length_seconds | float | Median session length in seconds for all sessions on the specified date0 or more · optional | 101.2 |
max_session_length_seconds | float | Maximum session length in seconds for all sessions on the specified date0 or more · optional | 790.5 |
min_session_length_seconds | float | Minimum session length in seconds for all sessions on the specified date0 or more · optional | 7.2 |
day_1_retention_rate | float | Percentage of users who returned to the app on the day after installation (0-100)0 to 100 · optional | 62.3 |
day_7_retention_rate | float | Percentage of users who returned to the app seven days after installation (0-100)0 to 100 · optional | 34.2 |
day_30_retention_rate | float | Percentage of users who returned to the app thirty days after installation (0-100)0 to 100 · optional | 19.6 |
| Dates and times 1 column | |||
date | date | Date for which the aggregated statistics are reported | 2024-06-02 |
Use it for
A technology dashboard
Min_
session_ length_ seconds by device_ type and a breakdown of country. Excel, Power BI or Tableau. Why do the 94 tablet rows have a mean min_
session_ length_ seconds of 39.0? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Apps202social.chat.whisper7.2smartpho…music.stream.jamzone33.7tabletshopping.deals.dealio11.3smartpho…
A software demo
Believable apps with app_
name, platform and date to fill a screen in front of a buyer.
This dataset202 rows15 columns
Yours1,000 rows15 columnscountry: UK only
blueprint · consumer-mobile-app-usage-stats
Behind this dataset
Same schema. As many rows as you need.
These 202 rows came out of a blueprint — 15 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
Rules it was built with
- User segment: age, region, device OS
- Session length distribution: 10s to 120m
- Launch source: direct, notification, ad
- Retention measured at days 1, 7, 30
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- consumer-mobile-app-usage-stats