Player behavior, game analytics, virtual economies
Time-based retention rates, average lifetime value
This dataset provides detailed player retention cohort metrics for gaming studios, including time-based retention rates, average lifetime value, and segmentation by platform and region. It enables robust analysis of player engagement, monetization, and cohort performance, supporting data-driven decisions for game development and marketing strategies.
Player identifiers, item details, transaction amounts, payment methods
This dataset provides detailed records of in-game purchases across multiple games, platforms, and regions, including player identifiers, item details, transaction amounts, payment methods, and promotional usage. It enables game studios and publishers to analyze monetization strategies, player spending behavior, and the effectiveness of promotions for optimizing revenue and engagement.
Engagement actions, achievements, session duration, purchases
This dataset provides detailed, session-level metrics for gaming users, including engagement actions, achievements, session duration, purchases, and retention indicators. It enables analytics teams to track player behavior, measure engagement and monetization, and conduct retention studies across games and platforms. Ideal for optimizing game design, marketing strategies, and user lifecycle management.
Player achievement unlocks across various games, capturing the sequence
This dataset provides granular records of player achievement unlocks across various games, capturing the sequence, timing, and context of each event. It enables analysis of player engagement patterns, reward system effectiveness, and behavioral trends to optimize game design and retention strategies. The inclusion of platform, region, and session data supports deep segmentation and cross-platform insights.
In-game purchase transactions, capturing player identifiers, item details
This dataset provides granular logs of in-game purchase transactions, capturing player identifiers, item details, pricing, discounts, payment methods, and contextual data such as platform and region. It enables deep analysis of player spending behavior, monetization effectiveness, and the impact of promotions or platform differences. The dataset is ideal for optimizing in-game economies, personalizing offers, and supporting revenue analytics in the gaming industry.
Total and average session durations, session counts
This dataset provides daily aggregated session metrics for individual players, including total and average session durations, session counts, and timestamps for first and last play. It enables deep analysis of player engagement trends, retention patterns, and behavioral segmentation across platforms and regions, supporting data-driven game design and marketing strategies.
9 cols
Session timing, in-game actions, purchases, retention metrics
This dataset provides detailed records of player sessions and behaviors across multiple games, including session timing, in-game actions, purchases, retention metrics, and player demographics. It empowers game studios to analyze engagement, optimize retention strategies, and drive monetization through targeted campaigns and player segmentation.
Columns and codes found in the sample rows of all 79 gaming datasets.
One sentence in. A dataset with that pattern out.
| guild | device | session_min | level |
|---|---|---|---|
| yes | iPhone 13 | 42 | 31 |
| no | Galaxy A54 | 18 | 12 |
| yes | PS5 | — | 44 |
| no | Nintendo Switch | 25 | 9 |
A pattern you asked for Everything else