The 8 Best Game Analytics Solutions in 2025
Explore the best analytics tools for games in 2025. Discover the right tool to maximize game performance, from player behavior...
In game development—creativity and technical skills alone won’t guarantee success.
Three questions for all the developers out there:
You can answer all these questions if you track the right game metrics (there are hundreds of them). Some focus more on player behavior, while others target monetization.
But which game metrics are the most useful for your game’s chances of success? Let’s break down the most important ones and how to leverage their results to your advantage.
Game developers need to track various key metrics for many reasons. Here are some examples:
We’ve cherry-picked 11 key game metrics into three categories: acquisition, engagement, and monetization.
The first metrics in a game‘s lifespan revolve around acquisition. In other words, how well are you attracting new players to your game?
A large user base is key to any game’s early stages of success. How many people installed the game? A typical acquisition metric is tracking how often your game is being downloaded. This tells you how many people were interested enough in your game to make that first commitment. This can also help you understand what methods worked to acquire those players, to begin with.
To measure your install rate: Divide the number of installs by the number of ad impressions and multiply by 100. This can further explain the effectiveness of your company’s marketing efforts.
You’d be surprised how many people install a game and never even get around to playing it. New active users are the people who start to play post-installation. This metric indicates which users are engaged from the very beginning.
To measure new active users: Calculate how many users continuously engage with the game in the first seven days.
To increase new active users: Implement rewards, in-game events, and other features can help to boost this metric.
With time, you can start to measure your DAU (daily active users) and MAU (monthly active users).
Each time a player opens the game, this counts as a session. If players continuously open your game in a certain timeframe, it indicates high engagement and interest. A low session count could suggest that the player’s interest is fading.
Tracking session count can help developers enhance game features and social features, boosting return visits. To make the game appealing for repeated sessions, focus on areas like user experience and game design.
It’s important to track how long players are actively playing the game. The longer the session, the more engaged and satisfied the player. If a session is short, this might suggest pacing issues and player frustration. Session length data helps with optimizing level design and gameplay mechanics.
Understanding how players interact with a game helps developers in optimizing gameplay.
DAU differs from “new active users,” which focuses more on those engaging with the game immediately post-installation. It allows developers to see how many unique users opened the game in a day (24 hours).
MAU (Monthly Active Users) refers to unique users who have opened the app at least once in the last 30 days.
You can then create a ratio using both game metrics. DAU/MAU ratio is more concerned with the game’s “stickiness.” It shows how many players return often compared to those who just return here and there. This metric ultimately indicates how well your game retains users.
Acquiring new players is one thing, but it means nothing if they’re not sticking around. A retention rate (RR) tells us how many players continue to play a game. Typically tracked on Day 1, Day 7, and Day 30, the higher the RR, the more successful a game will be in the long term. But if your RR is low, this could mean that there are issues with key areas like gameplay and user experience.
To measure RR: Calculate the ratio between returning players and new ones.
To improve RR: Collect player feedback, provide incentives, and find ways to enhance the overall player experience.
Probably the most alarming word in game development; churn is when a player stops playing a game. The opposite of retention rate, game churn rate is the number of players who churn over time.
According to Business of Apps, Android/iOS games have an average churn rate of 68.3% on day one, reaching 95.95% by day 30.
A high churn rate could mean that players are disengaged, unsatisfied, bored, or confused by aspects of the game. They might even enjoy the game but stop playing because they found a more interesting game.
To reduce churn rate: Optimize the player onboarding experience, and consider other factors like ad frequency.
Here are some churn prediction strategies to help you boost player retention.
Certain game metrics help to measure the revenue generated from an engaged player base.
One of the key monetization metrics of game development, ARPU tells us the value of the average player when it comes to revenue.
To calculate the ARPU: Divide the revenue by the number of users in a specific period.
From these results, you can identify monetization opportunities that could increase revenue.
Following the same principle as ARPU, ARPDAU focuses on the daily revenue generated by the average player.
To measure ARPDAU: Divide the total revenue by the number of daily active users.
To improve ARPDAU: Focus on boosting player spending with in-game promotions and offers.
This metric is unique as it predicts the total revenue a player will generate over the entire playing period. This long-term estimation helps game studios:
To calculate LTV: Multiply the average user lifetime by the ARPDAU.
IAPR is the revenue generated by in-app purchases. These include expansion packs, weapons, and virtual currency. This metric especially applies to F2P games, where in-app purchases contribute significantly to revenue.
Here’s a quick reference table to summarize each key game metric, including how to measure and improve each one.
Key game metric | How to calculate the metric | How to improve the metric | Metric type |
Number of installs | Track total downloads | Optimize marketing channels to boost visibility | Acquisition |
New active users | Count users who play within 7 days of installation | Add rewards/events to encourage initial engagement | Acquisition |
Session count | Count each game session per user | Improve user experience and add social features | Engagement |
Session length | Measure average playtime per session | Optimize level design and gameplay mechanics | Engagement |
Daily active users (DAU) | Track unique daily users | Create daily rewards/events to boost daily engagement | Engagement |
Monthly active users (MAU) | Track unique daily users over 30 days | Introduce monthly goals/events | Engagement |
DAU/MAU ratio | DAU ÷ MAU | Focus on engagement strategies to improve “stickiness” | Engagement |
Retention rate (RR) | Returning players ÷ new players (Day 1, 7, 30) | Collect player feedback and offer incentives | Engagement |
Churn rate | The opposite of retention rate | Optimize onboarding and reduce ad frequency | Engagement |
Average revenue per user (ARPU) | Revenue ÷ users over a period | Enhance in-game purchases and adds | Monetization |
Average revenue per daily active user (ARPDAU) | Revenue ÷ DAU | Create special promotions for daily players | Monetization |
Lifetime value | Average user lifetime x ARPDAU | Improve retention and engagement to prolong user lifetime | Monetization |
In-app purchase revenue (IAPR) | Revenue from in-app purchases | Introduce appealing items/upgrades/currency packs | Monetization |
When it comes to game metrics, there is no one-size-fits-all approach. Every game studio prioritizes different performance metrics depending on their current needs. But tracking at least some of the game metrics mentioned above will give you a dynamic overview of:
The more data you measure, the better decisions you can make to optimize your game for long-term success.
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