Automated placements are superior to manual ones for scaling mobile game user acquisition because they leverage machine learning to maintain performance across broader inventory.
Campaigns optimized for mobile app installs require a minimum audience of one million users, while those focused on app events need two to five million.
Value-based optimization campaigns require a target audience exceeding five million users to provide platform algorithms sufficient room to function effectively.
Relying on granular manual placements, such as Facebook Video Feeds, often leads to misleading performance metrics and causes campaigns to fatigue prematurely due to restricted algorithmic reach.
The gaming industry is experiencing significant instability, evidenced by the Embracer Group’s financial struggles and the subsequent failure of its aggressive, stock-value-fueled acquisition strategy.
Major industry entities are being forced to divest key assets and are facing removal from global stock indices as the sector adjusts to new privacy standards and economic pressures.
User acquisition strategies in the mobile gaming sector must evolve to address the challenges of the post-IDFA environment, specifically regarding placement optimization and audience scaling on major platforms like Facebook and Google. While granular data might suggest that specific manual placements, such as Facebook Video Feeds, offer superior performance, these results are often misleading and lack the scalability required for significant growth. Relying too heavily on manual placements can restrict the reach of the underlying algorithm, causing campaigns to fatigue prematurely.
Effective scaling requires a strategic approach to audience size based on the specific optimization goal. Campaigns focused on mobile app installs should target a minimum of one million users, while those optimized for app events require a broader reach of two to five million. For value-based optimization, the target audience should exceed five million users to allow platform algorithms sufficient room to operate. While manual placements can be useful for advertisers on limited budgets seeking high-value targets, automated placements are generally superior for scaling as they leverage machine learning to maintain performance across a wider inventory.
The broader gaming industry is currently experiencing significant volatility, exemplified by the financial struggles of major entities like the Embracer Group. The strategy of aggressive acquisition fueled by stock value has proven unsustainable, leading to the removal of such companies from major global stock indices and necessitating the divestment of key assets. This instability highlights a shifting landscape where both marketing tactics and corporate growth strategies are under intense scrutiny as the industry adjusts to new privacy standards and economic pressures.