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Steam Data Suite

Eingetragen: 11.03.2023 Editiert: 08.12.2024

Steam
The Steam Data Suite is a powerful analytics tool that helps developers and publishers gain a better understanding of their games' performance and player behavior on the Steam platform.

The software offers a wide range of features, including real-time analytics, data visualizations, player segmentation and the ability to track custom events. It provides valuable insights into key metrics such as retention rates, engagement and monetization.

Since March 2024, the Steam Data Suite has been part of Newzoo International B.V., a Dutch market research company.




Examples with Steam Data Suite


Steam Data Suite includes a variety of features specifically tailored to the needs of game developers and publishers, enabling them to make data-driven decisions that optimize both the player experience and monetization.

Main features of the Steam Data Suite:
  1. Real-time Analytics - The tool allows developers to monitor their game performance in real time. This includes metrics such as player count, server status, and other live data that provide immediate insights into game usage.
  2. Data Visualization - The software offers user-friendly visualizations that make it easier to understand and interpret complex datasets. These include charts, heatmaps, and other visual tools that simplify the analysis of players and their behavior.
  3. Player Segmentation - With the player segmentation feature, developers can divide their users into different groups based on specific behavioral traits or metrics. This segmentation helps to better target specific audiences and develop tailored marketing or game optimization strategies.
  4. Custom Event Tracking - Another important feature is the ability to track custom events, or specific actions performed by players within the game. Developers can investigate how players interact with certain game content or respond to specific in-game events.
  5. Player Behavior Analysis - The Steam Data Suite provides in-depth insights into player behavior, such as retention rates (the game's ability to keep players engaged over time), engagement levels (how actively players are involved in the game), and monetization metrics (how well the game performs in monetizing through microtransactions or other revenue sources).

Example data that can be collected and processed by the Steam Data Suite:
  1. Player Activity - The number of active players, the number of hours they have played the game, the number of sessions they have played, and the duration of each session.
  2. Purchases and Revenue - The number of sales, revenue from sales, the average price per sale, and the number of buyers who have repurchased the game.
  3. Achievements - The number of players who have unlocked achievements, the number of players who have unlocked multiple achievements, and the number of players who have re-engaged with the game due to achievements.
  4. Multiplayer Statistics - The number of players who have played multiplayer games, the number of games played, and the average playtime per game.
  5. Error Reports - The number and types of error messages generated by the game, as well as information on how many players were affected by these errors.


 Involved Addresses

Steam Data Suite uses Compute Cloud (EC2) from Amazon.com, Inc.
Servers differ by location (CDN).

IPv4_SteamDataSuite.txt (507 B)
Date: 2025-01-29
CRC32 Hash: 64f497a4
SHA-256 Hash: 128c27c7d97da616db766eaf847aa4f10ac899edce175477c34ff529cdcd4f3e

 

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