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In the crowded arena of mobile marketing, one company is breaking away from the pack. Gamelight, the largest Rewarded Marketing Platform for Mobile Games, is redefining user acquisition with innovative AI technology. With its innovative approach, mobile marketers can now break barriers and excel like never before.
At the core of Gamelight is a sophisticated AI algorithm tailored to optimize for the highest ROAS, ARPU, and retention rates. Unlike traditional methods that rely on manual analysis and gradual improvement, Gamelight's AI assesses campaign performance in real-time, constantly adjusting for higher conversion rates.
This approach transcends the classic display of ads to the highest bidder. Instead, the algorithm creates user profiles, identifying overlaps between engaged users of the game and potential new users and recommending the games to the most suitable users.
The AI's ability to analyze the match between a user and an ad creative even before installation allows for precision in determining user fit, optimal ad display timing, and game-user matching.
Gamelight's AI targeting proves more effective than classic manual targeting methods. While conventional approaches focus on basic parameters like gender, iOS version, and demographics, Gamelight's algorithms analyze a broader spectrum of data points. Including app usage data and behavior patterns.
This dataset feeds into an algorithm designed to maximize ROAS, ARPU, and retention for advertisers. By handling data in such a granular way, Gamelight achieves far more effective outcomes than competitors.
Gamelight partnered with Korean app publisher JOYCITY to promote and scale their titles, Gunship Battle: Total Warfare and World War: Machine Conquest, in the United Kingdom, South Korea, and Japan.
For Gunship Battle: Total Warfare, Gamelight’s AI platform delivered impressive results:
In Japan, the Return on Ad Spend (ROAS) at Day 30 (D30) reached 38.71%, exceeding the D30 ROAS goal by 48%. Additionally, there was a 213% growth in ROAS from Day 7 (D7) to D30.
In the UK, the ROAS D30 was 35.37%, surpassing the goal by 35.78%, with a 143% growth in ROAS from D7 to D30.
For World War: Machine Conquest, the campaign also achieved remarkable results:
In Japan and South Korea, there was a 257.61% growth in ROAS from D7 to D30.
In the UK, the growth in ROAS from D7 to D30 was 230.20%.
These case studies demonstrate the efficacy of Gamelight’s AI-driven approach in significantly enhancing mobile user acquisition and engagement across multiple regions.
Unlike traditional algorithms that operate on simple "if-else" rule bases, Gamelight's AI-driven methodology is far more sophisticated.
“It doesn't rely on predefined rules. Instead, it independently determines the most suitable user for each game, the optimal time to recommend a game and the most effective presentation method”, - said Günay Aliyeva, Gamelight co-founder.
This approach considers factors such as how long a user has been engaged with the platform, ensuring that recommendations are always appropriate.
This knowledge allows for delivering highly relevant recommendations that resonate with individual players. Two users never receive the same game suggestions unless their data is identical, with the system constantly optimizing recommendations, timing,
One of the biggest advantages of Gamelight's system is its ability to bypass costly learning periods that can sometimes cost a lot in traditional targeting. From the moment a campaign launches, Gamelight's AI accurately identifies users who are the right fit, increasing the company's overall revenue by targeting users with the highest ARPU potential.
For game publishers and user acquisition managers, Gamelight offers a combination of sophistication and simplicity. Setting up a campaign takes just 2–3 minutes, eliminating the need for complicated setups and targeting processes that can often take 30 minutes or more on other platforms.
This streamlined approach allows UA managers to focus on more strategic aspects of their campaigns, while the AI handles the intricate optimization details.
In traditional models, advertising revenues are typically shared with publishers. Users end up just seeing ads, with no direct benefit. In contrast, Gamelight shares these revenues with users.
By sharing data, users play a part in a system where they can earn rewards, making it a win-win situation for all involved.
The process is straightforward. Playing a publisher's game earns users points based on gameplay duration, fostering progression. Points can be exchanged for gift cards and vouchers, rewarding loyalty. This Loyalty Program maximizes retention and engagement, fostering a dedicated fan base for immersive experiences. Users who reach their first reward milestone are also more likely to stick to their second reward.
With 7 self-published game recommendation apps on iOS and Android, and more than 10 million users in Tier 1 regions, Gamelight gave 2 million gift card counts and paid out $20 million in rewards in Q1 2024 only. Each mobile user in the US has seen apps’ ads 3 times on average.
As the mobile gaming market evolves, the need for sophisticated, AI-driven user acquisition strategies becomes increasingly critical. Gamelight isn't just keeping pace with this change—it's leading the charge. By combining cutting-edge technology with a deep understanding of gamer behavior, Gamelight is creating a model where game discovery is as engaging and rewarding as gameplay itself.
As the industry watches and competitors scramble to keep up, one thing is clear: with the advent and development of AI the game of user acquisition will never be the same.
