Liftoff Intelligence Services 包含两大专业平台:AppRefinery(面向消费类应用,如电商、教育、社交等)和 GameRefinery(专为手游开发者设计)。它们共同提供对超过10万款应用的深度洞察,包括分析师精选的推荐、基准测试和竞争情报,帮助团队在复杂市场中做出更明智的决策。
AppRefinery 帮助消费类应用团队通过数据驱动开发,识别用户喜爱的功能、竞争对手的留存策略以及最有效的UX设计。其用户动机建模能力将受众类型(如健康大师、冒险家、沙发土豆)与功能特征关联,指导广告创意、定向和再互动活动,从而提升ROAS。到6月1日,平台将覆盖50+应用、24个垂直领域,成为最全面的基准测试工具之一。
GameRefinery 为手游开发者提供超过2500个游戏功能解构、实时趋势数据和12种玩家动机模型(如逃避现实、社交攀登、寻求刺激)。通过8种玩家原型(如表达者、技能大师、山丘之王)和50+品类基准,团队能优先开发高ROI功能,优化变现策略并设计更吸引人的LiveOps活动。
总体而言,Liftoff Intelligence Services 弥合了原始数据与可执行策略之间的鸿沟,使开发者能够基于对用户动机和市场竞争格局的深刻理解,构建更智能的产品、更高效地获取用户并实现可持续增长。
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.
AI personalization is now essential for mobile marketing, with 71% of consumers expecting tailored experiences. This article outlines how AI enhances audience intelligence, creative personalization via DCO and GenAI, engagement timing, and measurement. Marketers should start small with focused A/B tests, prioritize user value, and collaborate across UA, CRM, and product. Key challenges include privacy, overpersonalization, and model bias. Adjust's Growth Copilot offers AI-driven analytics to streamline decision-making.
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.
Many developers underestimate ad monetization, fearing it harms user experience. However, well-placed ads like rewarded videos can boost engagement and revenue without driving churn. Even small apps with 1,000-2,000 DAUs can profit from ads and reinvest in growth. Early monetization planning is crucial to avoid rework and user resistance. A hybrid model combining in-app advertising (IAA) and in-app purchases (IAP) diversifies revenue and captures value from non-paying users. Tools like Mintegral's Hybrid ROAS optimization help maximize performance through dynamic bidding.
Influencer marketing drives app growth by building trust and authenticity beyond traditional UA. Budgeting should start with target markets, CPM benchmarks, and a 25% uplift in daily organic installs. Choose creators based on data: audience demographics, recent views, and content alignment. Measure performance with granular attribution links (e.g., AppsFlyer OneLink) to track installs, conversions, and ROI. Avoid vanity metrics; focus on CVR, retention, and long-tail effects. Start with small campaigns to gather benchmarks before scaling.
Cross-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.
Merge Mansion boosted revenue by doubling live events and introducing innovative types like Merge It Up! mini battle pass, Secret Supply casino-merge minigame, and Circus Caper decoration event. Revenue spikes correlated with battle pass cycles and IAP offers. Key takeaways: events should drive premium currency use, PvE mode overlaps increase engagement, and unique mechanics deepen gameplay. For ad ops, focus on event-driven monetization and data-informed LiveOps strategies.
Liftoff Monetize 强调其 Vungle SDK 在保持轻量级的同时提供完整的变现能力,Android 端下载大小不足 1MB(672.8KB),iOS 端仅增加 5.12MB,经 2026 年基准测试确认为同类最轻。该 SD...
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、...