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: 5 days 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 (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-11-04T16:59:25.000Z (about 1 year ago)
• Last Synced: 2023-11-04T17:33:33.745Z (about 1 year ago)
• Topics: r, sqlite
• Homepage:
• Size: 18.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• 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).