Using devtodev for Match-3 Game Analysis
The charm of match-3 games has captivated millions of people around the world. But for game developers, the challenge isn’t just about creating an enjoyable experience, it’s also about ensuring profitability.
The key goal is to convert players into paying users while fostering continuous engagement with the game. This demands a keen grasp of player behavior, preferences, and spending habits. By analyzing these metrics, developers can tailor their monetization strategies to effectively engage users and drive revenue.
And this is where devtodev comes in, offering powerful analytics tools for a deeper understanding of player behavior and game performance. With devtodev’s analytics platform, developers can gain insights to fine-tune monetization strategies for match-3 games and enhance overall profitability.
Before diving into analytics, it is important to understand the features of match-3 games that influence the choice of analysis methods and required reports.
Level Structure
Match-3 games typically comprise multiple levels, each presenting unique challenges. Players advance through these levels, unlocking new ones as they progress. Additionally, unlocked levels can be replayed several times.
Resources and Bonuses
Players have access to various items and bonuses to help them progress through levels. These items can be earned through achievements or purchased using in-game currency.
Monetization
In-game currency can be purchased with real money or by watching ads, which serves as a revenue source for developers.
In addition to key metrics such as New Users, Active Users, Gross, ARPU, and Retention which are crucial for evaluating the performance and engagement of the game, you can track and analyze specific user actions, represented as Custom Events in devtodev.
User Behavior
Analyzing user actions in match-3 games includes monitoring custom events such as interactions with other users, specific purchases, and item clicks.
Read more: Game Level Progression
Now, let’s explore how devtodev facilitates analysis for match-3 games.
How to Analyze Match-3 Games Using an Analytics Platform
Distribution of Users by Levels
The Game Structure report reveals the current distribution by level, revenue per level, and the share of paying users. By examining user distribution across levels, developers can assess level complexity and identify potential bottlenecks.
Cohort Analysis
Analyzing user cohorts based on registration dates enables user progress tracking over time. This helps predict future behavior and identify areas for improvement.
We see that users who registered two weeks ago are distributed across all levels. On the other hand, users who joined last week are concentrated in the middle levels. This may indicate that initial levels could be either too easy for new players.
Additionally, none of the players have reached level 13 yet. This may mean that the difficulty level at this stage of the game is too high for most users, potentially leading to quitting the game.
At the first three levels, we observe a drop-off in users of approximately 35%. This decrease is likely attributed to users’ lack of interest in the game rather than the level’s complexity. We could check out the data from higher levels to see if they’re all tough enough to drive users away. After this, we can make adjustments to our game.
Monetization
Analyzing the revenue generated at each level allows you to understand which levels are the most profitable.
This information can be used to optimize game design and monetization strategies, focusing efforts on the levels at which players are most likely to make a purchase.
Read more: How to Launch a Promo Campaign and Increase Product Revenue
Location-Based Analysis
During attempts to complete a level, users may change various numerical indicators such as resources and in-game currency. The analytics platform can monitor changes in any numerical parameter of the location based on successful or unsuccessful attempts, such as steps, health units, or boosters.
By analyzing player distribution across game locations, developers can understand user behavior patterns and identify areas for enhancement or adjustment.
Custom Events
Integrating custom events allows for detailed tracking and analysis of specific user actions, offering deeper insights into player behavior and informing future development decisions.
For example, you send an event every time a user enters the in-game store, clicks on an item, or buys an item. Based on these events, you can build a funnel and check the conversion rate at each stage in the Conversion Funnel report.
Engagement Insights
Match-3 games often include additional features such as leaderboards, limited-time events, clans, and daily bonuses that have a significant impact on player engagement and retention.
In devtodev, we can utilize the Retention reports to assess the impact of specific game features on user retention rates. Furthermore, we can employ the User Flow report to visualize the sequence of actions users take within the game.
In conclusion, devtodev equips game developers with a comprehensive toolkit for analyzing and optimizing match-3 games. Leveraging these analytics capabilities empowers developers to understand player behavior, enhance game design, and maximize revenue potential. If you’re looking to elevate your match-3 game to new heights, explore devtodev’s demo or schedule a call with our experts.
