节日营销季看似亮眼,但数据揭示了一个悖论:高点击率、高安装量等表面指标并未转化为实际收入。许多营销团队发现,他们优化的只是用户活动,而非真实购买意图,因为数据停留在数字行为层面,如点击、安装和in-app事件,无法反映真实购买意图。
基于实际交易信号的受众策略正成为破局关键。例如,某娱乐品牌通过AppsFlyer的Signal Hub,利用匿名化交易数据识别出近期在数字娱乐领域有消费记录的用户,无需一方数据即可找到高价值潜客,从首轮campaign即提升转化率和ROAS。
同样,移动游戏发行商可利用一方数据识别现有玩家,再通过Signal Hub的金融数据交叉匹配在应用商店有付费行为的用户,从而构建高价值支付活跃玩家细分,针对性地推送早期访问或升级优惠,Day 7 ROAS明显改善。
Signal Hub作为AppsFlyer生态内的隐私安全信号市场,使品牌能够一方数据与匿名交易数据安全结合,无需移动或暴露原始数据。团队可直接在AppsFlyer平台激活并衡量这些增强受众,在各大媒体渠道实现真实业务成果的优化,而非仅止于点击和安装指标。
App measurement is fundamentally different from web analytics due to data fragmentation across ad networks, devices, and apps. A Mobile Measurement Partner (MMP) like AppsFlyer bridges these gaps, enabling unified attribution, fraud protection, and LTV measurement. For eCommerce, granular event tracking, deep linking, and privacy-safe data collaboration are critical. Leaders should focus on metrics like IR, CPI, LTV, and ROAS, and adopt AI-driven optimization to overcome challenges like ad fraud and privacy changes. The future is Connected Commerce—integrating apps, web, retail media, and AI.
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.
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.
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.
Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.
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.
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.
TikTok iOS campaigns can now be optimized using real-time conversion signals from AppsFlyer’s Advanced SRN, replacing delayed SKAdNetwork data. This gives marketing teams real-time visibility into performance, enabling faster optimization of bids, creatives, and targeting. The integration provides probabilistic modeling for ID-less traffic and deterministic attribution for consented users, improving campaign results. Advertisers must configure Advanced Privacy settings in AppsFlyer to enable this. SSOT deduplication is recommended for unified reporting.
AppsFlyer 基于120万条广告素材的分析指出,视频广告与静态图片广告所奖励的创意属性几乎相反,把两者视为同一套创意策略,会让广告主错失已经拥有数据验证的优胜素材。头部广告主的素材测试量正快速拉开差距:季度 UA 支出700万美元以上...
AppsFlyer 基于 2025 年旺季八大市场 1.65 亿次安装与 2.1 亿次应用内购买数据的分析显示,Q4 大促的购买转化高度压缩在单日甚至单个小时爆发,购买提升幅度普遍是安装提升幅度的 2 至 3 倍,Black Friday ...
全渠道分析(omnichannel analytics)要解决的核心问题不是“哪个仪表盘的数字更准”,而是如何确认散落在移动端、Web、CTV、AI 搜索等各触点上的三次曝光其实属于同一个人,并在同一套归因引擎下完成统一衡量。文章引用数据指...
移动端 CPI 连年攀升、应用商店最高 30% 的抽成叠加,使游戏厂商原有 ROAS 模型难以为继,而桌面 Web 游戏已从"阉割版"进化为 Unity 到 HTML5 的完整移植,成为重启增长的新渠道。关键数据显示,Web 投放的用户获取...
AppsFlyer 同时打通 AI 流量的付费与自然两侧归因:付费侧通过 ChatGPT Ads 集成经 OpenAI Conversions API 回传,自然侧将原有搜索归因扩展至 AEO,覆盖 8 个 AI 引擎与 13 个传统搜索引...
真正的跨渠道营销分析并非把Meta与Google的报表并列展示,而是通过统一的身份识别(CUID)将同一客户贯通各渠道,在归因前解决重复计数问题,否则只是渠道聚合而非跨渠道分析。据AppsFlyer数据,统一归因能帮助品牌实现30%以上的归...