Liftoff 正式发布 AppRefinery,这是一个专为消费者应用设计的独家洞察平台,旨在通过深度竞争分析、用户动机研究和实时行业基准,帮助开发者、营销人员和发布商提升应用增长与变现效率。平台覆盖 iGaming、金融、电商、约会和教育等 15 个以上类别,提供全面的移动生态视角,便于用户发现规模化机会。
AppRefinery 的核心是其独有的用户动机框架,基于严格研究、用户调研和行为数据构建。该框架帮助开发者识别用户动机和画像,理解不同应用类别中的驱动因素,从而制定更精准的投放策略和产品优化路线,提升用户获取(UA)质量与留存表现。
平台提供三方面价值:对开发者,通过特征库提供可操作洞察以构建更好的应用;对营销人员,利用已验证的动机模型和用户画像吸引高 LTV 用户;对发布商,则聚焦广告变现、IAP 和订阅等先进变现策略以提升收入。AppRefinery 旨在成为移动营销从业者在归因分析、增量提效等环节的关键工具,助力在实际投放中优化 ROI 和 ROAS。
This guide helps app marketers select a Mobile Measurement Partner (MMP) by covering essential features like privacy-first measurement, unified attribution, fraud protection, and advanced analytics. It emphasizes choosing an MMP that integrates easily, scales with business growth, and provides reliable data for optimizing marketing ROI across teams.
The mobile advertising industry is optimistic heading into 2025, with 80% of marketers expecting the year to be as strong or stronger than 2024. Non-gaming apps are driving growth, with downloads up 12% YoY and IAP revenue increasing 20%+. Marketers are prioritizing profitability and ROAS, with over half reporting more aggressive KPIs. Generative AI is already benefiting creative production and optimization. iOS re-engagement remains underleveraged, and most marketers are still adapting to SKAN. Budgets are increasing, with a focus on ad networks and self-attributing networks.
Preload campaigns are critical for UA in 2025, offering early brand presence, higher trust, and cost-efficient growth. Key benefits include increased visibility, engagement, and LTV. Practitioners should leverage advanced segmentation, automated recommendations, predictive analytics, extended attribution windows, and incrementality testing. Partnerships with OEMs and platforms like Appnext, Aura, AVOW, Digital Turbine, and InMobi can drive significant results, as seen with Magalu's 100k+ monthly installs and 4x ROAS.
Hybrid monetization, combining in-app purchases (IAPs), in-app advertising (IAA), and subscriptions, is key to maximizing revenue and user lifetime value. By diversifying revenue streams, developers mitigate risk and cater to varied user preferences. The strategy is led by hybrid casual games but extends to finance, e-commerce, and health apps. Best practices include audience segmentation, personalized offers, A/B testing, and balancing user experience with revenue. Analyzing metrics like ARPU, LTV, and churn is crucial for optimization.
To reduce app uninstalls, focus on user-centric onboarding, consistent value delivery, and optimized performance. Personalize engagement through behavior-based push notifications and in-app experiences. Use proactive communication to re-engage dormant users, and leverage social proof to build trust. Avoid app fatigue by balancing communication frequency. Analyze uninstall data to identify churn patterns, encourage habit formation with streaks or daily rewards, and reward loyal users with exclusive perks. These strategies, supported by MMP analytics, help create an app experience users want to keep.
This guide demystifies mobile marketing acronyms for ad ops. Key pricing models include CPM for awareness, CPC for traffic, CPI for installs, and CPE for engagement. Mintegral's Target CPE and Target ROAS optimize for conversions and ROI. Platforms like DSP, SSP, and RTB automate buying and selling. Attribution relies on MMPs, SKAN, and MMM. Metrics such as MAU, DAU, LTV, and ARPU track performance. Monetization models (IAA, IAP, hybrid) and ASO/CTV are also covered. Actionable takeaway: choose pricing and tracking based on campaign goals.
The article explores driving user engagement in iGaming apps, emphasizing user motivations and promotional strategies. Key insights include using bonuses like bonus bets and bet safety nets to reduce friction for new users. Engagement features like daily rewards and streak systems build habit formation. Real-world examples from DraftKings, FanDuel, and BetRivers illustrate effective tactics for boosting retention and monetization.
Liftoff Intelligence Services, including AppRefinery for consumer apps and GameRefinery for mobile games, offers competitive insights and feature-level data to optimize UA, monetization, and retention. Teams can leverage user motivation modeling to target smarter, improve ROAS, and align product decisions with audience preferences. With over 100,000 apps analyzed, these tools provide actionable benchmarks for building smarter and growing with confidence.
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...