Case Study: 111 Percent boosts revenue by 14% with Moloco's ML-powered user acquisition

A Moloco Case Study

111 Percent boosts revenue by 14% with Moloco

111 Percent, a leading casual game publisher in Korea, sought to diversify its user acquisition channels to scale its efforts and improve budget efficiency for its game Random Dice. To achieve this, the company partnered with Moloco and used its ML-powered programmatic advertising solution to expand its global reach.

Moloco implemented its machine learning algorithms to optimize ad performance across a vast inventory, targeting users based on their probability to install and engage with the game. Their team also provided continuous campaign monitoring and creative optimization, producing and localizing numerous ad assets. This solution resulted in a 14% increase in revenue for Random Dice and an 8% boost in net profit, with 111 Percent praising Moloco's capabilities and committing to future collaborations.


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