Game Economy in mobile games as a competitive advantage – how data analytics is changing the rules of the game
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Game Economy in mobile games as a competitive advantage – how data analytics is changing the rules of the game

Great retention but no revenue? If your game economy doesn’t work, nothing else will. Learn how to measure and fix what actually drives monetization. ...
Wojciech Szlęzak
Wojciech Szlęzak, Data Analysis & Science Lead
24/04/2025

Table of Contents

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Introduction

I remember a conversation with a CEO right after the soft launch of his new mobile game. “We have great retention, but we aren’t even making enough to cover user acquisition.” In theory, everything seemed fine: great gameplay, polished UX, attractive rewards. But in practice? The game economy was not working to support monetization at all. That’s when we realized together: it’s not the story, not the graphics, and not even the mechanics that determine success. It’s the economy. A balanced economy is not just a feature; it's the backbone of any successful game. Robust game economies are essential for maintaining player interest and ensuring long-term success.

In the world of mobile gaming, where CAC rises faster than ARPU, and player attention is a currency more valuable than dollars, a well-designed game economy in mobile games is a strategic advantage. Data analytics and game economy optimization are crucial to gaining a competitive edge in the mobile games market. Even greater is the ability to manage this economy in real time, based on data. AI is used to analyze player behavior in real-time, allowing developers to adjust the game economy and maintain engagement. Maintaining a well balanced economy is a key strategic advantage, as it directly impacts sustainability and player satisfaction.

This article shows how to approach game economy optimization methodically, based on data, practice, and continuous iteration. Effective optimization should be preceded by market research to better understand the target audience and player needs, aligning with current market trends.

Advanced data analytics in mobile games allows precise adjustment of the game economy to player behavior, helping to optimize player engagement and enhance player satisfaction.

Game Economy in mobile games – data analysis, cloud computing, and real-time monitoring of player behavior

Game Economy - What really drives your game?

The game economy is the engine that powers the entire player experience. It’s not just numbers and resources but an entire ecosystem of dependencies: currencies (soft and hard), rewards, costs, progression, and “sinks” — systems that consume value. Soft currency is an accessible, easily earned in-game currency used for basic progression and upgrades, helping maintain player engagement and balance alongside hard currency. These elements form the foundation of virtual economies, which are structured systems within mobile games that manage currencies, virtual goods, and player progression. In-game economy management refers to the strategic planning and implementation of systems that govern these virtual economies within video games.

Designing a healthy economy means creating a logical structure that keeps players engaged by offering enough rewards to excite them but also enough challenges to sustain motivation. The importance of a balanced economy and sound game economics cannot be overstated—a well-designed economy creates a dynamic balance between player income and expenses, driving engagement while preventing resource hoarding. An effective game economy should incorporate various monetization models such as freemium, subscriptions, or in-app advertising, providing monetization opportunities that support game profitability. In-game content, such as exclusive items, personalized offers, and premium features, is a key component that enhances player engagement and retention.

A well-designed economy:

  • regulates progression pace,
  • segments player value,
  • encourages conversion,
  • minimizes the risk of virtual resource inflation,
  • allows business model adjustment to the game’s specifics and analysis of every user segment, enabling precise decision-making and optimization of results.

Player progression systems are crucial, as they incentivize continued engagement by rewarding achievements and advancement, optimizing monetization strategies like progressive pricing that align costs with player development levels.

A bad economy? It’s a direct path to churn, frustration, and wasted LTV.

The freemium model is the most popular monetization model in mobile games, where the game is free to download, and revenue is generated from optional in-game purchases. Optional purchases and premium features are available at the player's discretion and add value without being mandatory for gameplay. In-app advertising is the most common monetization method, including various ad formats such as banners, full-screen ads, or rewarded video ads, which contribute significantly to ad revenue.

Health of mobile game economies: what and how to measure?

Too often, product teams focus solely on outcome metrics like ARPU or retention. However, these are effects, not causes. They show results but say nothing about what led to them — nor about what needs to be improved. To effectively manage the economic side of a game, KPIs are needed that tell the story of the system: its dynamics, tensions, and structural imbalances. These can include, among others:

Currency Metrics

  • Balance tap vs sink — does the system introduce and remove resources in proper proportions?
  • Average holdings — average resource levels across player segments. Excess? Sinks aren’t working. Shortage? Players get frustrated.
  • Effective game economy management requires measuring acquisition, spending, and accumulation of virtual currency at percentile levels to better understand behaviors of different user groups.

Engagement and Progression

  • Levels per user per day — a universal indicator of gameplay pace.
  • Progression speed — are players moving through the game too fast or too slow?

Retention and Behavior

  • D1/D7/D30 retention correlated with resources and progression.
  • Churn after a key stage? Investigate the economy at that point.
  • Effective game economy analysis requires segmenting players according to their behaviors.

Outcome metrics such as average revenue per user (ARPU) are key indicators of monetization success, which should be analyzed over specific periods to evaluate monetization strategy effectiveness and optimize business activities.

Granular analytics is essential for data-driven decision-making in mobile games, supporting player retention and enhancing gameplay balance.

Mobile game players – user experience and the impact of game economics on retention

Common questions worth asking yourself

Sometimes it’s not dashboards but specific questions asked at the right moment that reveal the most. Product leaders who regularly ask tough questions about how the game economy functions often detect bottlenecks, inflation risks, or design errors faster. Regular analysis of usage across different game features also helps identify bottlenecks and design flaws faster, which translates into better user experience and more effective gameplay optimization.

Checklist of questions you must have:

  • Do players have too many resources? Or too few?
  • Are the sink systems working as they should?
  • How do I design hard currency to avoid pay-to-win effects?
  • Is progression satisfying but not too easy?
  • What behavior patterns suggest the need for economic changes?
  • Do you monitor retention as a key element in assessing game economy effectiveness?

Maintaining a balanced in-game economy is essential for player satisfaction, fair progression, and effective monetization. Regular updates and balancing of the in-game economy help maintain fairness and engagement. Monitoring and adjusting the in-game economy is necessary to prevent issues like runaway inflation or resource stagnation.

If you don’t remember the last time you analyzed these questions, your economy probably needs a revision.

Technical issues like frequent crashes can negatively affect user experience and increase churn. Monitoring crash rate and ANR is fundamental, but advanced analytics allows identifying hidden problems that standard monitoring might miss.

Data Analytics as a compass for economic decisions

Collect data on three levels:

  • Transactions: what, when, and for how much players buy (or don’t buy).
  • Resources: how much time is needed to acquire key items?
  • Behavior: usage patterns, drop-off paths, frustration points. It’s worth implementing an iterative process of granular A/B test result evaluation to precisely optimize strategy and tailor it to different user groups. Considering player interests when optimizing ads can significantly improve ad relevance and engagement, leading to higher click-through rates and increased revenue.

Create a behavioral funnel — a tool that shows where a player quit the game and what might have caused it. A well-constructed funnel is a microscope on economy design flaws. User segmentation by behavior is crucial for effective monetization and retention in game economy in mobile games. Ad engagement can be increased by offering rewards and incentives for interacting with ads, such as rewarded video ads, which enhance user involvement and the effectiveness of monetization strategies.

Thanks to detailed analysis of results divided into behavioral segments, precise actions can be taken depending on the target group. Segmenting users into groups such as casual players, high spenders, or free-to-play users allows personalization of gameplay, offers, and marketing strategies. Understanding the role of interaction in building engagement and using advanced segmentation and reporting enables increasing user engagement and more effectively activating the player community. AI technologies will further enhance game economies by enabling precise player behavior analysis and dynamic economic adjustments.

Finally, understanding user preferences through data analysis allows personalizing in-app purchases and game difficulty, which translates into higher player satisfaction and longer retention.

Monetization of games - how analytics increases revenue

In the mobile games industry, effective monetization is not just a matter of luck or a good idea — it is the result of precise data analytics and continuous adjustment of monetization strategies to real user behavior. Thanks to detailed data analysis, game developers can identify which game elements generate the most engagement and revenue, and which require optimization.

Data analytics allows deep understanding of user behavior — from app installation, through initial interactions, to purchasing decisions and ad watching. Rewarded ads are a monetization strategy where users voluntarily watch an advertisement in exchange for in-game rewards such as coins or power-ups, increasing engagement and providing incentives like extra lives or bonuses. This makes precise ad targeting, offer personalization, and dynamic adjustment of difficulty and rewards possible, which directly increases lifetime value (LTV) of users and average revenue per player.

In practice, analytics enables segmenting the player base into groups with different revenue potential, allowing implementation of diversified monetization strategies — from microtransactions, through video ads, to exclusive content offers. Hybrid monetization combines free-to-play mechanics with rewarded ads and premium subscriptions to retain players and maximize revenue streams. Providing valuable rewards, especially through rewarded ads, can incentivize occasional or non-paying players to engage more with the game and improve retention. Monitoring retention and LTV metrics in real time gives mobile game creators tools to quickly respond to changes in player behavior and optimize revenue at every stage of the game lifecycle.

Players can choose to spend real money on virtual goods or use ad-based rewards to progress, and psychological triggers such as FOMO (fear of missing out) and urgency are often used to encourage impulse buying in mobile games. In other words, monetization in the mobile games industry today is a data-driven process — only thanks to analytics can strategies be effectively adapted to player expectations and maximize app revenue.

Want to make better use of data in your mobile games? Contact us

Optimization - what really works

In theory, everything can be designed in advance. In practice? The game is a living organism, and the economy is its circulatory system. Optimization is not a one-time process but a continuous series of decisions based on reliable data, experiments, and intuition. It’s worth using various optimization methods and implementing best strategies that lead to increased revenue and marketing effectiveness. Managing resources in mobile games adds strategic depth as players decide when to spend or save their resources, directly influencing engagement and monetization.

This is the moment when strategy meets reality and you need to answer the question: what actually works, and what just looks good on dashboards?

  1. Audit the current state
  • Compare supply vs sink.
  • Assess ratio of rewards to playtime.
  1. Test iteratively
  • Adjust costs, drop rates, rewards. Developers can create intentional inflation in a game economy by introducing new sinks to counterbalance additional taps.
  • Measure impact on retention and session length. A/B testing is your friend. An iterative process of granular A/B test result evaluation enables precise changes and strategy optimization.
  1. Segment players
  • A F2P grinder plays differently than a P2P spender.
  • Adjust progression and economy to play style. Game progression is closely linked to resource management and monetization, as ongoing in-game progression and upgrades encourage players to continue playing and making in-app purchases. Proper business model fit and monitoring retention rate are key to long-term game success and building lasting user relationships.

When discussing player advancement, it’s important to note that players progress is impacted by investment in resources like boosters, equipment, and upgrades, which can be balanced to support overall gameplay flow, monetization, and long-term engagement.

Implementing new solutions and caring for user experience allows achieving better financial results in the long term.

Control and Automation - The Economy also needs monitoring

Many teams treat the game economy as a component that only needs to be well designed during production. Meanwhile, it is a dynamic system, susceptible to changes in player behavior, new features, or seasonal events.

Therefore, building processes that not only analyze the economy state but actively respond to deviations and anomalies is crucial. AI-powered tools can generate and optimize dynamic pricing models, allowing you to improve in-game economy balance and monetization strategies by adjusting prices based on player behavior and market trends.

Set weekly alerts:

  • “Too high average currency amount after 7 days”
  • “Activity drop in segment X after drop rate change”
  • “Sudden churn increase in cohort after 14 days of play”

Automation won’t replace strategy but allows faster reaction and scaling of actions.

Remember, the best games are those not only fun to play but also well designed from a business perspective. And at the heart of this design lies the game economy. Transparency and communication about the in-game economy are essential to build trust with players.

Start with three steps:

  1. Examine the current state of your game economy.
  2. Implement basic metrics and behavioral funnels.
  3. Test changes and measure their impact on retention and LTV.

If you need a partner to help you go from data to decisions — contact us at Alterdata. Our portfolio includes many companies like yours whom we helped improve their game economy.

Data analytics in mobile games – data-driven decision making for game economy optimization

Summary - The future of game economy and data analytics

Looking ahead in the mobile games industry, one thing is certain: data analytics will play an increasingly important role in shaping effective monetization strategies and revenue optimization. Rapidly changing player expectations and growing competition force mobile game developers to continuously monitor user behavior and quickly adapt their business models.

In the coming years, data analytics will become even more advanced — AI-based tools will enable automatic trend detection, user behavior prediction, and real-time experience personalization. Managing in-game economies is becoming more similar to managing real world economies, requiring careful attention to balance, supply and demand, and economic stability to ensure fair play, player satisfaction, and effective monetization. The development of technologies like blockchain will open new possibilities for transaction transparency and security, and also allow for player ownership of in-game assets, creating decentralized economies. The future of game economies will be strongly influenced by the integration of AI and blockchain technologies, driving innovation in both player engagement and monetization models. Additionally, mobile game economies often utilize a dual-currency system, with soft currency easily earned through gameplay and hard currency typically purchased with real money, further enhancing monetization strategies.

For mobile game creators, it will be crucial not only to implement best analytical practices but also to be ready to experiment and react quickly to industry changes. The future of game economy is continuous optimization, deep understanding of user behavior, and ability to translate data into concrete business decisions that increase revenue and build competitive advantage.

In a world where data is the most valuable resource, only those who can effectively use it will set new standards in the mobile games industry.