Leveraging predictive analytics to understand player behaviour and improve retention.
Role | Deep Tech Used | Impact Vector | Industry | Impact Vector %Benefit |
---|---|---|---|---|
CEO | Predictive Analytics | Data | Digital Gaming | 30% |
Leveraging predictive analytics to understand player behaviour helps game developers analyse data on player actions, preferences, and engagement patterns. This insight enables the design of more personalised gaming experiences, targeted marketing, and strategies to enhance player retention and engagement, ultimately contributing to the success of the game and the satisfaction of its players.
Challenge: A mobile game developer struggled to retain and keep players engaged with their game. New players were dropping off quickly, and existing players weren’t logging in as frequently. This resulted in a decline in daily active users (DAU) and monthly active users (MAU), impacting overall revenue.
Solution: The developer implemented data analytics tools to track player behaviour and identify areas for improvement. These tools collected data on various aspects of gameplay, including:
Advantages/Outcomes:
Data analytics empowered the mobile game developer to make data-driven decisions that improved player engagement and retention.
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