Online Gaming Market Analysis
Expert-defined terms from the Advanced Skill Certificate in Online Gaming Analytics course at Greenwich School of Business and Finance. Free to read, free to share, paired with a globally recognised certification pathway.
A/B Testing – A method of comparing two versions of a product or feature… #
In the context of online gaming, A/B testing can be used to optimize game design, user interface, and monetization strategies.
Active Users – The number of users who are currently engaged with a game… #
This metric is often used to measure the popularity and success of an online game.
Ad Revenue – Income generated from advertising within a game or on a gami… #
Ad revenue can come from banner ads, video ads, and sponsored content.
Analytics – The systematic computational analysis of data or statistics #
In the context of online gaming, analytics involves collecting, processing, and interpreting data to gain insights into user behavior, game performance, and monetization strategies.
Average Revenue Per User (ARPU) – A metric used to measure the average am… #
ARPU is calculated by dividing the total revenue by the number of active users.
Behavioral Analytics – The use of data analytics to understand and predic… #
In the context of online gaming, behavioral analytics can be used to optimize game design, improve user engagement, and increase monetization.
Big Data – Large, complex sets of data that can be analyzed computational… #
In the context of online gaming, big data can be used to gain insights into user behavior, game performance, and monetization strategies.
Churn Rate – The percentage of users who stop using a game or platform wi… #
Churn rate is an important metric for measuring user retention and the success of a game.
Conversion Rate – The percentage of users who take a desired action, such… #
Conversion rate is an important metric for measuring the effectiveness of monetization strategies.
Cost Per Install (CPI) – The cost of acquiring a new user through adverti… #
CPI is an important metric for measuring the effectiveness of user acquisition campaigns.
Customer Relationship Management (CRM) – The practices, strategies, and t… #
In the context of online gaming, CRM can be used to improve user engagement, retention, and monetization.
Data Mining – The process of discovering patterns and knowledge from larg… #
In the context of online gaming, data mining can be used to gain insights into user behavior, game performance, and monetization strategies.
Data Visualization – The representation of data in a graphical format #
In the context of online gaming, data visualization can be used to communicate complex data insights in a clear and intuitive way.
Engagement Metrics – Measures of user engagement, such as playtime, sessi… #
Engagement metrics are important for understanding user behavior and optimizing game design.
Freemium Model – A business model in which a basic version of a game or s… #
The freemium model is commonly used in online gaming to attract users and generate revenue through in-app purchases.
Game Telemetry – The data collected from a game, including user actions,… #
Game telemetry is used to gain insights into user behavior, game performance, and monetization strategies.
Gamification – The use of game design elements and mechanics in non #
gaming contexts to engage and motivate users. Gamification can be used in online gaming to improve user engagement, retention, and monetization.
In #
App Purchases – Optional purchases made within a game or app, such as virtual goods, currency, or premium features. In-app purchases are a common monetization strategy in online gaming.
K #
factor – A metric used to measure the virality of a game or platform. K-factor is calculated by multiplying the number of invitations sent by the conversion rate of those invitations.
Lifetime Value (LTV) – The total amount of revenue that can be expected f… #
LTV is an important metric for measuring the long-term success of a game.
Machine Learning – A type of artificial intelligence that allows systems… #
In the context of online gaming, machine learning can be used to personalize game experiences, predict user behavior, and optimize monetization strategies.
Monetization – The process of generating revenue from a game or platform #
Monetization strategies in online gaming include in-app purchases, advertising, and subscriptions.
Player Lifecycle – The stages that a player goes through from the time th… #
The player lifecycle includes acquisition, engagement, monetization, and churn.
Retention – The percentage of users who continue to use a game or platfor… #
Retention is an important metric for measuring user satisfaction and the long-term success of a game.
Session Length – The amount of time a user spends playing a game in a sin… #
Session length is an important engagement metric for understanding user behavior and optimizing game design.
User Acquisition – The process of attracting new users to a game or platf… #
User acquisition strategies in online gaming include advertising, social media marketing, and influencer partnerships.
Virtual Goods – Digital items that can be purchased and used within a gam… #
Virtual goods can include things like weapons, clothing, or decorative items.
Viral Coefficient – A measure of the virality of a game or platform #
The viral coefficient is calculated by multiplying the number of invitations sent by the conversion rate of those invitations.
Virtual Currency – A digital form of currency that can be used within a g… #
Virtual currency can be earned through gameplay or purchased with real money.
Web Analytics – The measurement, collection, analysis, and reporting of w… #
In the context of online gaming, web analytics can be used to gain insights into user behavior, game performance, and monetization strategies.