How AI Is Helping Game Developers In Monetisation?

In the dynamic realm of mobile and online gaming, developers have been striving hard to monetise their games. Among many strategies, Artificial Intelligence (AI) has stood tall as one of the most influential game monetisation strategies. 

As it stands, 46% of game developers are already integrating AI into their games. Artificial intelligence tends to yield the highest uplift among various app or game monetisation models, averaging around 20-30%. This speaks volumes of how AI will go on to play a tremendous role in elevating gameplay as we know it.

This article delves into the various applications of AI in game monetisation and talks about how it is all set to transform the future of gaming.

5 Ways By Which AI Can Help In-Game Monetisation

Dynamic In-Game Ads

AI-powered dynamic in-game ads have been rapidly gaining ground in in-game monetisation. It can identify paying users in a game, and regulate the frequency of ads to not disrupt user experience while presenting them options for in-app purchases (IAP). 

This approach encourages a higher conversion rate toward IAP within the game. Simultaneously, users with a lower inclination to make payments can be more effectively monetized through ads.

Furthermore, AI can adjust ad prices based on the real-time demand for ad space within a game. This dynamic pricing model optimizes the revenue generated from ad placements, ensuring developers receive the highest possible returns for ad space.

Enhanced Customer Support

Customer support is a key element in game monetisation as it focuses on providing players with more efficient and effective assistance while simultaneously driving revenue through various channels. AI can contribute to customer support in numerous ways. 

AI-powered chatbots and virtual assistants can provide round-the-clock customer support, ensuring players have access to help whenever they need it. This availability can lead to better player satisfaction and increased monetization as players continue to engage with the game.

Further, AI-driven customer support can provide players with personalized game content and offers based on their playing history and preferences. These tailored recommendations can increase player engagement and drive additional in-game purchases.

Chatbots powered by artificial intelligence can quickly resolve common player issues, such as payment problems, technical glitches, or account-related inquiries.

Non-Player Characters (NPCs)

AI plays a significant role in game monetisation by optimising Non-Player Characters (NPCs). They are virtual entities playing supporting roles to enhance gameplay and storytelling. It can create engaging and challenging experiences through well-designed NPCs, leading to higher player retention. 

A notable advancement in this landscape has been achieved by Generative AI (GenAI), which has enabled custom dialogue flows for engaging conversations. The GenAI in Gaming Market worldwide is expected to grow rapidly, increasing revenue by around $ 7,105 million by 2032, with a growth rate of 23.3% each year.

In traditional gaming, developers typically create decision trees that pre-determine the number of choices players have during gameplay. However, pioneering developers are exploring new dimensions by creating more dialogue content, allowing for highly personalised interactions with NPCs. This can also extend to custom skins and other game accessories and tailor the gaming experience to individual preferences.

In-game purchases are also pivotal in game monetization using AI. For instance, NPCs could offer quests, challenges, or opportunities to acquire virtual items, currency, or cosmetic upgrades. These interactions can prompt players to make in-game purchases, enhancing their gameplay. 

Player Sentiment Analysis

AI’s role in game monetisation reaches beyond the scope of technical optimization. It can understand and harness players’ behavioral patterns through player sentiment analysis. It can analyse player sentiments via chat logs, reviews, or in-game interactions to discern their preferences and emotional states. 

Additionally, sentiment analysis can inform these algorithms that control in-game systems. For example, if the analysis detects player frustration, the AI can adjust game difficulty or provide hints to improve the player experience, keeping them engaged and more likely to spend on in-game items.

Thus, AI can use its analytical capabilities and deftly influence player behavior, leading to better engagement rates. 

Transformation And Upgradation Of Skills For Developers

AI can bring about a profound impact on game monetization by empowering developers with enhanced skills and capabilities. AI-driven testing tools can quickly identify and rectify bugs, in turn, reducing development time and costs. It will allow developers to focus more on creating engaging content and refining the game. 

Further, it can conduct multiple versions of A/B tests on the games and analyze results, identifying the most effective methods to drive revenue. This can help developers fine-tune their game monetization techniques over time.

By helping developers upskill themselves, it can immensely improve gaming app revenue for developers. 

As we step into the future of gaming, it is evident that AI-powered game monetisation is not a fleeting trend but a transformational force that is here to stay. AI  in game monetisation will evolve further to accommodate personalised experiences, dynamic pricing, predictive analytics, and enhanced player engagement will continue to shape the gaming landscape. 

Developers will be equipped to craft not just games but entire virtual universes that resonate with players on a profound level, and in doing so, they will reap the rewards of greater player loyalty and increased revenue streams. With AI-backed games, every challenge, and every in-game interaction becomes a potential avenue for revenue generation.

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