Designed for Growth-Focused Developers, the New IAP ROAS Model Enhances UA Efficiency and Maximizes Revenue Impact
Mintegral, the leading programmatic advertising platform, announced the official launch of its In-App Purchase Return on Ad Spend (IAP ROAS) optimization model. This new feature enables mobile app developers to acquire high-value, paying users with greater precision, efficiency, and profitability.
Mintegral’s IAP ROAS optimization model is designed to help apps across nearly all genres increase their in-app purchase revenue. By setting preset ROAS goals, developers can now pinpoint and attract users most likely to engage with and contribute to their app’s profitability, striking a crucial balance between growth scale and long-term sustainability.
“Our new IAP ROAS optimization model is a game-changer for app developers seeking sustainable growth,” said Erick Fang, CEO of Mintegral. “It empowers them with unprecedented control over their profitability, allowing them to acquire high-value users efficiently and confidently. This is another testament to Mintegral’s commitment to delivering innovative, AI-powered solutions that directly impact our clients’ bottom line.”
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Key benefits of Mintegral’s IAP ROAS optimization include the following:
- Diverse Optimization Goals: Supports optimization for In-App Advertising (IAA), IAP, and hybrid monetization models.
- Flexible Optimization Windows: Offers Day 0 (within 24 hours of install) and Day 7 (within seven calendar days of install) optimization windows for all Target ROAS models.
- Efficient Budget Utilization: Leverages Mintegral’s oCPI (Optimized Cost Per Install) bidding, which automatically adjusts bids based on predicted traffic value and ROAS goals.
- AI-Powered Precision: Employs advanced machine learning algorithms to predict user value across multiple dimensions accurately.
By integrating IAP ROAS into their campaigns, developers can now accelerate growth, enhance the quality of their user base, and achieve greater control over their app’s financial performance.
SOURCE: BusinessWire
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