Google Ads近期在Search、Performance Max和Shopping广告系列中推出了“总预算(Campaign total budgets)”的公开内测,允许广告主针对特定营销活动(如产品发布、促销活动)设定一个总预算与特定时间段,替代传统的每日预算调整方式。
该功能的核心逻辑是通过机器学习自动优化预算消耗节奏,确保在设定的起止日期内完全且高效地使用预算,避免过早花完或浪费。对于短期测试(如72小时)或月度的激活活动,广告主无需每日手动监控和调整预算,能显著降低账户管理的工作量。
英国在线美妆零售商Escentual.com的案例验证了该功能的实效:在利用“总预算”功能优化促销投放后,其网站流量提升了16%,同时没有超出预算,且目标ROAS(目标广告支出回报率)也未下降。这体现了该功能在增量提效和预算管控上的双重价值,尤其适合对时间敏感或预算明确的营销节点。
整体而言,这一功能利好需要灵活管理短期Campaign的广告主,既能降低投放操作复杂度,又能通过自动化分配提升预算利用率,是Google Ads在智能投放策略上的一次重要迭代。建议有周期性促销或测试需求的广告主积极尝试该内测功能。
Adjust Audiences enables ad ops teams to build real-time user segments for personalized campaigns. Key audience types include geographic, acquisition-based, lifecycle, inactivity, revenue, event-based, and combined segments. Sharing dynamic audiences with partners ensures up-to-date targeting, reducing wasted spend and improving ROI. Actionable insights: suppress low-intent users, retarget high-value segments, and automate workflows via partner integrations.
Adjust's SpendWorks unifies ad spend tracking across networks, enabling marketers to collect, validate, and analyze cost data with performance metrics. It supports multiple collection methods including API integrations, scheduling, web-to-mobile spend, and data imports. Key features include 40+ network integrations, automated scheduling with multiple daily pulls, and granular mapping for cross-channel campaigns. This solution reduces manual effort, improves data accuracy, and supports smarter budget allocation for better ROAS.
Adjust's InSight incrementality testing uses machine learning to isolate the causal impact of budget changes, with 95% confidence intervals. Analysis of U.S. tests shows that on iOS, statistically significant lift occurred in ~33% of cases for top platforms, while on Android, ~25% of budget increases led to organic cannibalization. InSight helps ad ops teams separate signal from noise, enabling confident scaling or reallocation decisions. The tool integrates with Adjust's suite, complementing attribution for a complete measurement strategy.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
During Songkran 2025 in Thailand, overall app installs rose 8% and sessions 12% YoY. Food & drink apps surged up to 141% in installs and 160% in sessions during the festival. E-commerce saw a post-festival spike (+49% installs). Entertainment apps had longer sessions (+30%), while social and messaging apps also grew significantly. Key actionable insights: align campaigns to pre/during/post phases, optimize for intermittent usage, segment tourists vs. locals, and capture long-term value post-festival.
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
Digital banks grow 50% annually by mastering behavioral segmentation, deep linking, and measurement infrastructure. Traditional banks can recover 15-25% of abandoned onboarding and boost conversion 30-40% using behavioral triggers. Deep linking improves conversion 3-5X by eliminating friction. Measurement infrastructure proves ROI, enabling evidence-based budget shifts. Most banks achieve positive ROI within 30-60 days when implementing these tactics together.
Remarketing measurement relying solely on clicks misses view-through attributions, cross-platform journeys, and fraud, leading to misallocated budget and eroded efficiency. AppsFlyer advocates for independent, cross-channel, fraud-protected signals to unify attribution, deduplicate claims, and provide real-time postbacks for better optimization. Key data points include 50% higher paying user share for shopping apps running remarketing, 20% higher ROAS for gaming teams with unified attribution, and vulnerability to click flooding. Actionable takeaway: invest in a robust measurement foundation to capture true campaign influence and scale efficiently.
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