Mintegral上线Hybrid ROAS优化模型，旨在帮助开发者整合内购（IAP）与广告变现（IAA）收益，实现收入最大化。该模型依托其AI驱动的Smart Bidding技术，根据用户在两种变现策略下的潜在价值进行动态出价，同时瞄准高广告浏览和高付费意愿用户，提升广告投放效果与预算效率。
开发者可设定Day 0（安装后24小时内）或Day 7（安装后7天内）的ROAS目标，系统通过优化CPI（oCPI）模型自动调整出价以达成目标。启动前需配置IAA、IAP及全渠道安装事件的数据回传，并满足事件积累与IAP收入占比等要求。建议初始目标参考当前产品的ROAS结果，后续逐步提升以持续优化。
算法启动后需一定学习周期：Day 0 ROAS广告活动通常在5-7天后稳定，Day 7则需15-20天。为保持稳定性，每周调整ROAS目标不超过两次，每次调整幅度控制在10%以内。案例中，ONESOFT旗下《Goods Puzzle: Sort Challenge》通过Hybrid ROAS成功进入多国App Store免费休闲游戏榜前十，验证了该模型在灵活优化广告支出与维持稳定表现方面的价值。
Mintegral还提供IAP ROAS优化选项，支持针对内购事件进行投放，进一步提升收入。通过AppGrowth平台，开发者可借助Hybrid ROAS实现更智能的用户获取与变现策略。
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