Predictive Analytics for Online Gaming
Expert-defined terms from the Advanced Skill Certificate in Online Gaming Analytics course at LearnUNI. Free to read, free to share, paired with a globally recognised certification pathway.
**Algorithm** #
**Algorithm**
An algorithm is a set of statistical processing steps used to analyze data and m… #
In predictive analytics for online gaming, algorithms are used to analyze player data and make predictions about future behavior, such as the likelihood of a player making a purchase or churning. Common algorithms used in predictive analytics include decision trees, regression analysis, and neural networks.
**Churn** #
**Churn**
Churn refers to the percentage of players who stop playing a game over a given p… #
Predictive analytics can be used to identify players who are at risk of churning, allowing game developers to take steps to retain those players. This might include offering incentives or discounts, or providing additional content to keep players engaged.
**Clustering** #
**Clustering**
Clustering is a type of unsupervised learning in which data is grouped based on… #
In predictive analytics for online gaming, clustering can be used to segment players into different groups based on their behavior, allowing game developers to tailor their marketing and engagement strategies to each group.
**Data Mining** #
**Data Mining**
Data mining is the process of analyzing large datasets to discover patterns and… #
In predictive analytics for online gaming, data mining is used to analyze player data and make predictions about future behavior. This might include identifying players who are likely to make a purchase, or predicting which players are at risk of churning.
**Decision Trees** #
**Decision Trees**
Decision trees are a type of algorithm used in predictive analytics to make deci… #
In online gaming, decision trees can be used to analyze player data and make predictions about future behavior. For example, a decision tree might be used to determine the likelihood of a player making a purchase based on their previous behavior and demographic information.
**Deep Learning** #
**Deep Learning**
Deep learning is a type of machine learning that uses artificial neural networks… #
In predictive analytics for online gaming, deep learning can be used to analyze large datasets and make predictions about player behavior. This might include identifying patterns in player behavior that are not immediately obvious, or making predictions about future behavior based on previous data.
**Feature Engineering** #
**Feature Engineering**
Feature engineering is the process of selecting and transforming data in order t… #
In predictive analytics for online gaming, feature engineering might involve selecting specific data points, such as player behavior or demographic information, and transforming them in a way that makes them more useful for predictive modeling.
**Logistic Regression** #
**Logistic Regression**
Logistic regression is a type of algorithm used in predictive analytics to analy… #
In online gaming, logistic regression can be used to analyze player data and make predictions about the likelihood of a player making a purchase or churning.
**Neural Networks** #
**Neural Networks**
Neural networks are a type of algorithm used in predictive analytics that are in… #
In online gaming, neural networks can be used to analyze large datasets and make predictions about player behavior. This might include identifying patterns in player behavior that are not immediately obvious, or making predictions about future behavior based on previous data.
**Predictive Modeling** #
**Predictive Modeling**
Predictive modeling is the process of using statistical algorithms to analyze da… #
In predictive analytics for online gaming, predictive modeling is used to analyze player data and make predictions about the likelihood of a player making a purchase, churning, or engaging in other specific behaviors.
**Propensity Modeling** #
**Propensity Modeling**
Propensity modeling is a type of predictive modeling that is used to identify th… #
In online gaming, propensity modeling can be used to identify players who are likely to make a purchase, churn, or engage in other specific behaviors.
**Regression Analysis** #
**Regression Analysis**
Regression analysis is a type of algorithm used in predictive analytics to analy… #
In online gaming, regression analysis can be used to analyze player data and make predictions about future behavior, such as the likelihood of a player making a purchase or churning.
**Segmentation** #
**Segmentation**
Segmentation is the process of dividing a population into distinct groups based… #
In predictive analytics for online gaming, segmentation can be used to divide players into different groups based on their behavior, allowing game developers to tailor their marketing and engagement strategies to each group.
**Supervised Learning** #
**Supervised Learning**
Supervised learning is a type of machine learning in which algorithms are traine… #
In predictive analytics for online gaming, supervised learning might be used to train algorithms on historical player data in order to make predictions about future player behavior.
**Time Series Analysis** #
**Time Series Analysis**
Time series analysis is the process of analyzing data that is collected over tim… #
In predictive analytics for online gaming, time series analysis can be used to analyze player data and make predictions about future behavior, such as the likelihood of a player making a purchase or churning.
**Unsupervised Learning** #
**Unsupervised Learning**
Unsupervised learning is a type of machine learning in which algorithms are trai… #
In predictive analytics for online gaming, unsupervised learning might be used to identify clusters of players with similar behavior, or to identify patterns in player behavior that are not immediately obvious.
**Variable** #
**Variable**
A variable is a data point that can take on different values #
In predictive analytics for online gaming, variables might include player behavior, demographic information, or other data points that are relevant to the prediction being made.
**Visualization** #
**Visualization**
Visualization is the process of representing data in a visual format, such as a… #
In predictive analytics for online gaming, visualization can be used to help game developers understand and interpret the results of predictive models, allowing them to make informed decisions about marketing and engagement strategies.