Moloco Commerce Media (MCM) 推出了针对购物季流量高峰的增强型出价技术,旨在帮助电商平台和广告主充分捕获高意图流量价值。
传统零售媒体系统采用静态的统一定价模型,无法实时响应购物者行为变化,导致在流量激增期间广告主难以触达高价值用户。MCM的核心优势在于其成果导向的智能出价技术,允许广告主设定目标ROAS,系统实时动态调整出价以实现目标。
针对促销期流量短时爆发、转化率高的特点,MCM新增了三大增强功能:促销上下文预知(提前输入促销日期和特征到模型)、动态出价乘数(更灵活地反映用户高转化意图)、以及优化智能出价反馈循环(确保促销期激进出价不影响促销后ROAS表现)。
实际应用中,该技术已为平台合作伙伴带来高达25%的额外广告花费增量,且保持ROAS稳定。这意味着广告主在旺季流量和预算自然增长之外,还能通过智能出价获得显著增量提效。
MCM宣称其系统帮助电商平台以用户速度运转,将季节性流量峰值转化为持续收入增长,避免因僵化的广告系统限制Q4营收潜力。
Ramadan drives high mobile engagement in the Gulf, but success hinges on pre-Ramadan acquisition for higher LTV and remarketing during the month. eCommerce peaks early; finance responds to mature market triggers; travel converts at Eid. Post-Ramadan, focus on retention over acquisition to stabilize. AI tools are operational but measurement lags. Key takeaway: plan early, leverage remarketing, and phase strategies by period.
TikTok's full-funnel automation, integrating creative, media, and measurement, addresses fragmentation in AI tools. Brands using Smart+ and GMV Max see improved ROAS and CPA. Case studies show Naturium achieved 3.5x ROAS, PHLUR 191% higher ROAS, and Leatherman 97% revenue increase. Symphony and Content Suite enable scalable, authentic content. The key is pairing automation with strategic storytelling.
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.
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.
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.
In 2025, non-game apps surpassed games in revenue, with total in-app spending hitting $167B. APAC publishers drove a $2.58B increase in gaming revenue. Short Drama and AI Assistant categories saw explosive growth, while Blinkit, Shopee, and DeepSeek led their sectors. For ad ops, this signals shifting user attention toward lifestyle, commerce, and AI tools, creating new inventory opportunities beyond gaming.
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.
Web-to-app continuity is often broken during the handoff between mobile web and app, causing significant revenue loss that goes undetected. Brands like AirAsia, Tata CLiQ, and Apartment List improved conversions by using AppsFlyer's Deep Linking Suite to preserve customer intent and context. Fixing this hidden leak turns fragile transitions into predictable growth.
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