Gamelight's AI Targeting: A Game Changer in Mobile Game User Acquisition

Tuesday, 29 October 2024, 02:55

Gamelight is revolutionizing mobile game user acquisition through cutting-edge AI targeting technologies. This innovative platform excels in maximizing the return on ad spend (ROAS) using sophisticated algorithms that customize marketing strategies for mobile gamers, ensuring businesses achieve the best results.
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Gamelight's AI Targeting: A Game Changer in Mobile Game User Acquisition

Revolutionizing User Acquisition

In the crowded arena of mobile marketing, Gamelight is breaking away with its largest Rewarded Marketing Platform for Mobile Games. By leveraging next-gen AI targeting, it redefines user acquisition dynamics.

AI Advantage

At Gamelight's core is a sophisticated AI algorithm designed to optimize ROAS, ARPU, and retention rates. Unlike traditional methods, its real-time campaign performance adjustments lead to increased conversion rates.

  • Dynamic user profiles intersect with engaged players to discover potential users.
  • Precise ad display and game-user matching enhance marketing effectiveness.

A New Era of Data Analysis

Gamelight's AI targeting offers a superior alternative to manual processes. It evaluates a wide array of data points, including app behavior, ensuring advertisers maximize their ROAS.

  1. Gamelight partnered with JOYCITY for successful campaigns.
  2. Gunship Battle: Total Warfare achieved a 38.71% ROAS in Japan.
  3. World War: Machine Conquest saw a 257.61% growth in ROAS.

The Power of Personalization

This rewarded marketing approach allows for tailored advertising that significantly enhances user acquisition and engagement metrics across multiple regions.

For more details on how Gamelight is transforming mobile game marketing, visit the source.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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