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Advanced Mobile Marketing: Gamelight's AI Algorithm

The mobile marketing industry is fiercely competitive, making it difficult to stand out and achieve exceptional results. Traditional marketing strategies frequently face challenges in identifying valuable users through early metrics, often putting substantial budgets at risk by relying on long-term predictions. That’s when Gamelight's AI algorithm steps in, challenging the status quo and reshaping industry standards. With its innovative approach, mobile marketers can now break barriers and excel like never before.


Launched in Germany, Gamelight has rapidly established itself as a major player in the global mobile marketing landscape. By leveraging its extensive user base across multiple self-published game recommendation platforms, Gamelight consistently delivers high-quality users to mobile game publishers worldwide, now with the help of its revolutionary AI algorithm.


So, how exactly does Gamelight's AI algorithm function?


Gamelight's AI platform utilises a vast array of data points to provide actionable insights and drive results. This data enables Gamelight to understand user preferences and tailor marketing strategies accordingly.


To further enrich the understanding, Gamelight integrates demographic data, such as age, gender, and location, into the analysis. This deepens the comprehension of the target audience, enabling the platform to deliver precise targeting and personalised user experiences.


By delving into users' gaming history, Gamelight’s algorithms can examine user preferences, favoured genres, and past game interactions. This knowledge allows them to deliver highly-relevant recommendations that resonate with individual players.


Additionally, the platform excels at identifying behavioural patterns among players. This invaluable insight helps enhance user engagement and retention, fueling Gamelight’s algorithms to optimise user experiences and drive longer play sessions.


User Satisfaction: Enhancing the Gaming Experience


Gamelight aims to enhance user satisfaction and deliver an unparalleled gaming experience.

The platform is designed to achieve the following outcomes: 


  • Longer Player Sessions: By providing personalised game recommendations and optimising gameplay experiences, the platform encourages users to engage with games for extended periods, increasing their overall satisfaction.

  • Engaged Playtime: Gamelight’s algorithm identifies key moments during gameplay where users are most likely to become fully immersed. By enhancing these moments, player engagement and enjoyment are maximised.

  • Improved Retention: AI algorithms identify factors that impact user retention and develop strategies to keep players engaged and loyal over the long term. This leads to increased lifetime value and higher player retention rates.

  • Enhanced Gaming Experience: Through personalised recommendations, Gamelight ensures that players discover games that align with their interests, resulting in an enriched gaming experience that keeps them returning for more.


ROAS Algorithm: Unleashing Remarkable Results


The shortlisted partners in a test phase experienced a remarkable 450 per cent higher Average Revenue Per User (ARPU) on average, surpassing expectations across all major KPIs, including ROAS, ARPU, ARPPU and Retention Rate. The ROAS goals were met 2x faster than they were being met without the AI algorithm, which alone serves as compelling evidence as the revenue-focused KPIs provide the most accurate assessment. Gamelight's AI algorithm is now available to use for all game publishers they are partnering with.


Gamelight's AI algorithm is reshaping the mobile marketing landscape, offering game developers a unique approach to engage users and drive revenue growth. The platform continually learns and adapts based on user feedback, behaviour patterns, and industry trends. This iterative process allows us to fine-tune our algorithms and deliver increasingly accurate and effective game recommendations.


Check out our website for more information.

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