GoogleGoogle

New AI-powered bidding and budgeting innovations in Search and Shopping

By Josh Braverman·2026年5月7日·2 分钟阅读

摘要

Google AI出价与预算创新助力广告主在Search和Shopping广告中提升增量提效。Smart Bidding Exploration扩展至Performance Max和Shopping campaigns,允许广告主设定ROAS容忍度,捕获此前无法赢得的非明显查询,平均增加27%的独特转化用户。同时,journey-aware bidding(beta)通过追踪完整获客到销售旅程,优化Target CPA策略,提升复杂线索转化。

在预算管理方面,campaign total budgets已全面应用于Search、Shopping和Performance Max,广告主可指定预算运行时长(几天至几周),平均减少66%的手动预算调整。未来将推出demand-led pacing,利用AI自动优化每日支出,在峰值日捕获更多需求,低谷日减少花费,确保不超出月度预算和日限额。

这些创新体现了Google AI在广告投放策略中的深度应用:从传统出价升级为动态预测用户行为,从固定预算转向灵活响应市场波动。广告主通过搭配智能出价与弹性预算,可降低人工操作负担,同时提高广告支出回报率(ROAS)。

建议广告主尽快测试Smart Bidding Exploration和journey-aware bidding,以捕捉新兴用户搜索意图。结合campaign total budgets和即将上线的demand-led pacing,可构建自动化、自适应的投放体系,在竞争激烈的2025年广告市场中保持优势。

分析师点评

这篇文章揭示了2025年广告竞价与预算管理的关键转向:AI从辅助工具升级为自主决策核心。Smart Bidding Exploration的扩展(从搜索到购物、PMax)标志着竞价策略正从‘关键词匹配’转向‘用户意图探测’,这要求广告主重新理解流量价值——非标准查询可能带来高增量用户。同时,预算管理从固定日预算转向‘需求引导型节奏’,本质上是将控制权让渡给算法,以减少人工干预带来的效率损失。

值得注意的是,这两项创新均以‘释放消耗上限’为共同目标,可能加剧广告主对ROI波动的容忍度挑战;但长远看,这种AI主导的动态调配或将成为应对碎片化消费行为的标配能力。

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