Discord 正式推出其首个应用内广告格式 Video Quests on Mobile,并选择 AppsFlyer 作为独家 MMP 合作伙伴,为广告主提供从曝光到转化的全链路归因分析。这一格式以奖励为核心,用户需完成指定任务(如观看视频或参与互动)才能获得游戏内奖励,天然适配 Discord 高度社区化、游戏化的生态。通过 AppsFlyer 的服务器到服务器测量,广告主可以获得 CPI、ROAS 等精细指标,从而实现数据驱动的投放策略优化。
以《Marvel Snap》开发商 Second Dinner 为例,该工作室利用 Discord Quests 连续发起两波移动端视频任务,创意围绕雷神、毒液、蜘蛛侠等热门角色展开。结果显示,两波活动总计产生超过 1500 万次曝光,奖励兑换率高达 99%,CPI 低至 7 美元。更重要的是,通过与 AppsFlyer 的归因数据联动,Second Dinner 在第二波任务中优化了受众定向和出价策略,使 CPI 较第一波降低 30%,验证了归因分析对增量提效的实际价值。
Discord 的 Quests 之所以能取得成功,核心在于它改变了传统激励视频广告的被动体验,将广告转化为用户主动参与的“邀请”。玩家为了解锁奖励而完成任务,这种机制既尊重了社区氛围,又提高了广告的完成率和后续 LTV。AppsFlyer 的实时归因能力则让广告主能够看清每一步转化路径,从而在 SKAN 等隐私框架下仍能可靠评估 UA 效果。合作双方表示,这一模式有望成为社区驱动型广告变现的新标杆。
从行业角度看,Discord 与 AppsFlyer 的联合为应用内广告市场带来了新的可能性:在用户获取成本持续上升、传统广告效率下滑的背景下,奖励化、社区化的广告形式为开发者提供了“品效合一”的突破口。正如 Discord 广告销售 VP Adam Bauer 所言,“AppsFlyer 使我们能以隐私安全的方式验证广告效果,让广告主对投放更有信心。”未来,这种将归因、创意与社区体验深度融合的模式,或将为更多游戏和应用在用户获取与广告变现上提供可复制的路径。
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.
Unity and Discord launch a new Learn course on integrating Discord Social SDK into Unity games. The SDK enables social features like OAuth2 authentication, friends list, rich presence, lobby management, friend invites, and in-game messaging. Games like Marvel Strike Force, Halfbrick Sports, Rust, and 7 Days to Die have successfully implemented it, enhancing player connectivity and engagement. The course provides step-by-step guidance for Unity developers, aiming to boost user acquisition and community building. For ad ops, this integration opens opportunities for social-driven ad targeting and cross-platform campaigns, leveraging Discord's 200M+ monthly active users.
Banks lack unified attribution for owned channels (email, SMS, push), web, QR codes, and re-engagement, causing budget misallocation. Omnichannel attribution connects all touchpoints to deposits and loans, revealing that owned channels can be 2-3X more cost-efficient than paid ads. Cross-device journeys (e.g., mobile ad to desktop conversion) remain invisible in single-device attribution. Banking-grade compliance (SOC 2, ISO 27001) is maintained. Ad ops decision-makers can optimize budget allocation by comparing true cost per deposit/loan across channels.
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.
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.
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.
Over 75% of banking app users drop off after first session due to friction. AppsFlyer's Deep Linking Suite preserves user intent by routing customers directly to relevant in-app experiences from any entry point: web, QR codes, SMS, email, or app. Deferred deep linking ensures non-app users reach the intended destination after installation. Deep linking improves day-30 retention by 110% with personalized onboarding. For ad ops, this reduces wasted ad spend by connecting campaigns to actual conversions like account funding.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
足球顶级赛事揭示了移动营销的五个关键教训:注意力呈3分钟爆发式碎片化,而非持续第二屏;购买行为与注意力不同步,中场休息是转化高峰;全球赛事不等于全球行为,本地法规、基础设施、生活习惯塑造差异;情感参与度比观众规模更能驱动互动,胜负难料的比赛...
营销归因是确定哪些渠道和广告活动真正驱动转化的关键,缺乏独立测量层会导致预算决策被last-click偏差扭曲,使真正有效的渠道被削减。多触点归因模型(如位置模型)比单触点更准确,但需要更多数据支持;AppsFlyer的归因方案可恢复30-...
文章指出AI时代营销技术栈的核心问题在于测量层与激活层脱节,四个结构性缺陷(平台碎片化、渠道孤岛、漏斗盲区、测量-激活断层)导致信号失真与决策偏差。关键洞察是传统营销云以激活为中心,但AI优化依赖独立、一致的信号层,AppsFlyer通过跨...
移动应用因率先解决隐私、欺诈和平台碎片化等挑战,建立了全渠道测量的黄金标准。例如,iOS 14.5后移动广告支出持续增长,而欺诈检测显示约15%的安装为虚假。其他渠道必须借鉴移动经验,通过独立归因、信号治理等基础设施,才能实现可信任的跨平台...
80%的金融科技公司已将AI应用于营销,但仅29%获得实际成效,核心差距不在于技术本身,而在于未能将AI与高质归因数据有效连接。成功案例表明,从单一工作流入手(如异常检测或漏斗分析),借助现有工具(如AppsFlyer的Agent Hub和...
跨平台测量通过统一的客户身份(CUID)将网页、移动端、CTV等渠道的触点连接成单一归因旅程,解决数据孤岛导致的LTV低估和归因冲突问题。AppsFlyer的Product Line分组与CUID拼接实现实时跨平台LTV与ROAS衡量,避免...