While Artificial Intelligence (AI) has showcased superior intelligence and extensive logical capabilities, the application of AI in mobile games development has achieved much precedence. Computers augment humans with multiple functions in today’s top gaming studios too.
For several live operations and robust fraud detection capabilities, every mobile game development company is now relying on AI along with machine learning to automate tasks that were previously dependent on manual intervention.
Computers now handle tasks more efficiently owing to smarter AI algorithms that now effective and efficient too. AI now has a huge role in game monetisation and user engagement. Here are five essential ways that mobile gaming developers can leverage AI in the near future
- Difficulty levels and adjustments
Most mobile game development companies find it challenging to keep skilled players occupied with stuff and not are bored while also appealing to less skilled players who might chuck the game altogether if frustrated with their attempts.
AI enables developers with several options for players based on their interest and playing style. It allows players to identify the difficulty level they are comfortable with. The choice also leads to frustration, so AI comes, into play to enable developers to change the gaming parameters dynamically in real-time, based on success rates of the gamer in question.
An AI-based game can make tweaks and adjustments to deliver a custom-built gaming experience that matches the skill set of the gamers. The variability in strength or speed can be set with a diverse frequency of power-ups, or varied speed of play.
- Tailored Gaming recommendations
Amazon is known to use AI to chalk out recommendations on a user’s preferred choice of books, and Netflix can use AI for movie recommendations. Many companies use AI for smart product recommendations that escape the knowledge of the user.
Rather than enabling users to browse through the entire collection of products, AI allows mobile game developers to recommend games and their preferred niches based on every specific player, based on their playing style, gaming history, similarity to other game players, and other factors. One can target product offers similarly.
- Gameplay predictions for monetization
Nowadays with the advent of a freemium economy, very less players make in-app purchases, while most players play free games that are monetised through advertising. Amazon, for instance, serves customers with ideal purchase recommendations based on their recent browsing history and shopping history. The chances are high that companies will change their strategies to rope in paying customers if they get a whiff of their intention for doing so.
With the growth in artificial intelligence, developers now assess gamer interest and predict the likelihood of them being a payer or a non-payer. For those who are payers, developers can serve promotions and exclusive offers that will enable faster conversion, while they will monetize the other bucket with interactive videos and other advertising engagements.
- Churn reduction
AI enables developers to analyse all sorts of signals and indications of a player about to churn and then take immediate action to reduce it.
AI developers can predict the value delivered by a player before installing the app. Based on waning session frequency; AI computers can identify the high risk of churn and even get history along with preferences for such a takeaway. They can even devise campaigns to keep them playing, with power-ups or in-app currency especially to aid gamers to continue.
- Smart and quick user acquisition
Mobile game marketers try to find high-value players at cost-effective rates. But ad spends usually gets wasted in landing high-value players since the mobile app development landscape is quite hectic.
With AI, developers can predict the value one can gain from a player before installing the app. This targeting approach allows developers to make predictions of money one would spend in a game, with the viral value derived from the game, and the duration of interest in the game.
AI can advise developers on the spending amount on a specific prospect, for better returns on ad spend.
Conclusion
AI is not expected to replace humans especially in mobile game design and development but surely can replace manual tasks, aid in the assessment of trends and patterns in every sphere, while also aiding companies to drive engagement and monetization through mobile gaming. Developers need to embrace AI, for the benefit of their business but allow them to provide a better, tailored experience too.
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