https://github.com/hungreeee/lifetime-value-analysis
Perform data analysis regarding the revenue and LTV of a hypothetical mobile game sqlite3 database using R and SQLite.
https://github.com/hungreeee/lifetime-value-analysis
r sqlite
Last synced: 2 months ago
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Perform data analysis regarding the revenue and LTV of a hypothetical mobile game sqlite3 database using R and SQLite.
- Host: GitHub
- URL: https://github.com/hungreeee/lifetime-value-analysis
- Owner: Hungreeee
- Created: 2023-01-01T15:40:46.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-11-04T16:59:25.000Z (over 2 years ago)
- Last Synced: 2025-03-01T13:14:52.506Z (over 1 year ago)
- Topics: r, sqlite
- Homepage:
- Size: 18.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Lifetime-value-Analysis
Perform data analysis based on a hypothetical mobile game database created by Supercell as a test using R and SQLite.
## Warm-up tasks
Analyze monthly revenue throughout 2016.
Analyze the geographic split by highest revenue countries and continents.
## Task 1: Lifetime Revenue
Segment ARPPU by daily cohort. Perform Logarithimic Regression to generate the 180-day cummulative ARPPU and LTV using the "top-down" monetization approach.
Compute and analyze monthly LTV throughout 2016 using the same "top-down" approach. Predict monthly LTV for different user's acquired platform (platform segmentation).