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Predicting Player Frequency can give your company an edge

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More Engagement, Reduced Churn

Player Frequency indicates how frequently a player is active in a given period. Predicting the frequency in the future correctly can lead to better retention rates and a more vibrant player community.

Players who log in frequently are more likely to remain loyal to the game, reducing churn rates.

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Player Segmentation for Targeted Campaigns

Predicting the frequency can help identify core player segments that are crucial for community building and long-term success.

Segmenting players can make campaign spends super efficient.

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Optimize Infrastructure Planning and Resource Allocation

Predicting Player Frequency accurately, helps in planning server capacity and other infrastructure needs to handle player traffic without disruptions.

Companies can allocate resources more effectively by predicting the number of players that will be active in the future.

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Financial Planning

Understanding future player behavior will allow for more effective marketing campaigns, focusing on players who are likely to engage more frequently or spend more.

Frequent players contribute significantly to a gaming operator’s revenue.

Challenges in addressing Player Frequency Prediction

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Complex Player Behavior

Players have diverse motivations and playstyles, from casual to hardcore players. Predicting how often each type of player will engage with the gaming system can be complex..

Players’ motivations can also shift over time, influenced by personal interests, in-game experiences, or social factors, which are difficult to quantify and predict.

Real-world factors such as holidays, new game releases, or personal life events can significantly impact player frequency, making predictions less reliable.

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Data Limitations and Technological Constraints

Player data can be inconsistent, especially if players switch between devices, use multiple accounts, or experience connectivity issues.

New games or features may lack sufficient historical data to make accurate predictions, leading to higher uncertainty.

Processing large volumes of player data in real-time to make accurate predictions can be technically challenging.

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Player Privacy Concerns

There’s a fine line between using predictions to enhance player experience and using them to drive potentially exploitative monetization strategies.

Gathering and analyzing the data necessary for predictions must be done in compliance with privacy regulations, which can limit the depth of data available.

GAMWIT’s Approach in predicting Player Frequency better

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Behavior Based - Not Rule Based

Instead of using rule based methods, GAMWIT uses advanced AI/ML algorithms to identify behavioral patterns of player to predict their frequency of engaging with your platform. These patterns might be too subtle or complex to predict manually.

Since the model trains on behavioral patterns of your players and patterns displayed in your games, it does not need Personally Identifiable Information (PII).

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Real-Time Data Processing

GAMWIT can monitor player behavior continuously and provide alerts to the game developers or community managers if it detects patterns that indicate a potential decrease in Player Frequency.

GAMWIT can process data in real-time, allowing gaming companies to make immediate predictions about player frequency. This is particularly useful for triggering real-time interventions, such as sending push notifications or offering in-game rewards when a player’s frequency is predicted to drop.

Data Analysis and Pattern Recognition

GAMWIT can analyze large datasets of player behavior, identifying patterns and trends that might not be immediately visible.

By training machine learning models on historical data, GAMWIT can predict future Player Frequency with higher accuracy.

GAMWIT can automatically identify and engineer relevant features from raw data, such as time spent in-game, and gameplay patterns, to improve prediction models.

Monetization Strategies and PLTV

GAMWIT can forecast which players are likely to spend more based on their predicted frequency, allowing for the design of targeted in-game offers, promotions, or subscription models that align with player behavior.

GAMWIT can also help predict the lifetime value (LTV) of players by correlating frequency with spending patterns. It can assist in making informed decisions about marketing spend and player acquisition strategies.

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Player Retention

GAMWIT helps in improving the Retention Rate by predicting subtle changes in player engagement patterns and identifies when players are at risk of churning.

Early detection allows companies to intervene with targeted strategies, such as offering incentives to encourage continued play.

Infrastructure Management and Resource Scaling

Predicting when and where player frequency might increase allows for better traffic management and resource scaling, ensuring that infrastructure meets demand efficiently.

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Player Behavior is Dynamic

They vary from:

Game to Game

Company to Company

Demography to Demography

Geography to Geography

The set of behaviors that flag a player as a "Frequent Player" on your platform may not necessarily be the same for another platform.

Since our model trains on your data, it identifies those behaviors that are specific and relevant to your players.

GAMWIT’s AI Adapts
Dynamically

The cognitive capabilities of GAMWIT’s AI detect changes in behaviors of players over time.

It then adjusts the model to efficiently adapt and improve the accuracy of prediction.

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This is almost impossible for a human to do without any bias.

Business Benefits

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Increased Player Retention and Player Lifetime Value (LTV)

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Optimized Resource Allocation

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Effective Marketing and Growth Strategies

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Better Community Building

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Plug and Play Solution -
No Technical Expertise
Necessary!

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Our Player Frequency Model is a Plug and Play Solution that your Retention, Marketing and Customer Service team can use without any experience or skill in data analytics or technical know-how.

This allows you to identify and categorize the Frequent Players early, saving time and resources.

Works with all Data Formats

Our dedicated team of experts, helps integrate your gaming data with GAMWIT, no matter where, how and in what format you are collecting or storing it.

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Runs Automatically, so you can Focus on Growth!

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Once integrated, GAMWIT is automatic! It delivers individual player wise Churn Predictions to your Retention, Marketing and Customer Service team, scientifically and consistently.

We can also help you integrate GAMWIT with your CRM Systems.

You completely eliminate human bias, or guesswork, because this is data driven - data that is specific to you!