Liftoff宣布将参加2025年Mobile Apps Unlocked峰会,并彻底摒弃传统展位模式,转而以“breezy bungalows”形式打造沉浸式体验空间。核心策略是通过水疗、抹茶吧、按摩等健康活动(App-y Oasis)吸引参会者停留,同时植入AppRefinery团队的市场趋势解读和AppDev Awards获奖案例,实现软性品牌教育。
活动首夜推出Mobile Heroes专属“Donut Speak”秘密酒吧,以甜甜圈店为掩护,内部举办带现场乐队和舞蹈的老式夜总会派对。此举精准锁定高价值行业伙伴,通过稀缺性和私密性提升社区归属感,事件营销味十足。
Liftoff还与Sensor Tower、M&C Saatchi Performance、Google、Digital Turbine联合举办“Women in Mobile KPI-n It Real”屋顶活动,包含耳穴疗法、自我护理站和炉边谈话,强调女性领导力。同时与AppsFlyer、TikTok、Xsolla合作“Teeing Up Tech”高尔夫主题派对,覆盖UA和变现生态的横向交流,体现多维度归因与协同策略。
整体设计从“展位获客”转向“场景留客”,通过健康、娱乐等软触点降低抵触感,再以行业洞察和合作伙伴背书增强信任。尤其适合UA经理和增长团队在SKAN 4.0环境下,寻找增量提效和LTV优化思路时,用于非正式但对等的经验交换。
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
LLMs like ChatGPT and Gemini are reshaping mobile app discovery, with traditional search volume expected to decline 25% by 2026. These AI platforms act as answer engines, delivering direct app recommendations to users. For ad ops, this shift requires optimizing for LLM visibility through structured content and reputation management. While native ad formats are in early testing on platforms like Perplexity and Gemini, early adoption can secure high-intent placements. Marketers should track AI-driven traffic and align discovery strategies across ASO, SEO, and LLMs to stay competitive in an AI-first environment.
At MAU 2025, Adjust highlighted its new Growth Copilot AI solution, aimed at helping mobile marketers turn data into actionable insights for smarter growth. The event featured key sessions on AI-driven campaign optimization and real-time decision-making. Networking events with partners like Reddit, Sensor Tower, and AppLovin fostered industry connections. For ad ops decision-makers, the key takeaway is leveraging AI to accelerate performance and scale resources efficiently.
Mobile app measurement has solved the single-channel problems that plague other digital channels—independent attribution (neutral third-party verification), privacy regulation (survived iOS 14.5 with new methods), signal governance (provenance, chain of custody), fraud detection (15% fraudulent installs, 275% fake installs in some channels), and cross-platform fragmentation. These capabilities, built under duress, now form the foundation for omnichannel measurement. Ad ops must apply mobile-grade rigor per channel first, then connect via CUID, unified attribution logic, and real-time data governance to build a trusted cross-platform framework.
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.
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.
Marketing mix modeling (MMM) is re-emerging as a privacy-compliant complement to attribution, helping mobile marketers evaluate the impact of media spend, pricing, ASO, and promotions on installs and revenue. Unlike traditional media mix modeling, MMM includes non-media levers. Combined with incrementality testing and predictive analytics, MMM provides a high-level view of performance without relying on user-level data, making it essential for modern measurement stacks.
世界杯观众在电视和手机间多屏切换,移动端成为重要的“第二屏幕”。Liftoff数据显示,赛事期间体育类应用的广告展示量增长90%,独立用户增长40%,BeSoccer的DAU增长63%。品牌应打破传统电视单一投放思维,将移动端纳入大型赛事营...
文章驳斥了广告业对in-app广告的三大迷思:库存质量低、广告格式差、通过Big Tech即可覆盖。实际生态已进化,AI优化与原生格式提升质量,开放生态蕴含巨大价值。品牌与代理商应重新评估in-app投放策略,将其作为核心渠道。
文章反驳了“所有DSP库存相同、选择无关紧要”的观点,指出DSP的模型智能才是差异化核心。同样的曝光,不同DSP因模型不同会产生完全不同的出价与决策,从而影响投放效果。建议广告主采用多DSP组合策略,通过模型互补实现增量提效。
文章指出,在AI时代,创意品味而非AI工具本身才是移动营销团队的真正壁垒。多数团队测试不足,顶尖广告主每周发布超过50个创意变体,但高预算团队在创意数量上具有结构性优势。创意总监角色正从执行者演变为策略与品味的掌控者,而“人工制作”的定义已...
2025年金融与加密应用的用户获取支出增长47%,再营销支出增长115%,行业重心从获客转向全生命周期运营。该报告结合Liftoff Accelerate投放数据与AppsFlyer留存归因,揭示了H2预算加速、iOS与Android分化、...
2026年消费级App趋势显示,社交功能从可选附加升级为留存核心驱动,通过连接、协作与竞争强化用户粘性。高级留存机制如限时活动、收集系统与进度体系正跨品类迁移,为营销人员提供原生再参与触点与投放窗口。AI应用从概念炒作转向嵌入式实用工具,精...