报告覆盖41个市场、2025年10月至2026年9月,结合Pathmatics数字广告数据与Sensor Tower应用及广告情报。第一条主线是移动端素材产能台阶式抬升:49家一线市场头部手游广告主中,Sensor Tower Pathmatics检测到每月新进入市场的广告素材数量在2025年每个季度持续攀升,2026年Q1接近220条峰值,2026年虽有所回落但仍为2024年运行速率的两倍以上,属于一次性台阶抬升而非持续复利增长。视频、图片和试玩素材均在增长,其中视频增长最快并在2026年3月见顶;预算分层也很明显,生命周期花费从未超过100美元的新素材在2026年Q1同比增长6倍以上,而累计花费1万美元以上的素材仅增长1.7倍,说明测试层爆发、赢家层增长较慢。对UA团队而言,这意味着素材测试工业化、低成本视频快速迭代和以增量归因、ROAS/LTV阈值筛选赢家素材变得更重要,不能只看CPI。
第二条主线是主机端广告格局重塑。Nintendo 在2026年前九个月拿下55%的美国主机平台广告份额和74%的硬件广告份额,Switch与Switch 2约占其自身硬件和订阅支出的96%;Nintendo 2020年份额为27%,自2022年以来每年领先,2026年55%为其七年追踪中最高,Switch 2是核心驱动。PlayStation 的变化更凌厉:整体份额从2025年的20%升至2026年的32%,并以61%首次领跑三平台订阅广告,此前从未超过订阅支出的三分之一。Nintendo 与PlayStation 合计已占美国主机平台广告支出的87%,一年前为69%。这表明第一方平台广告预算更集中,硬件发布与订阅服务需要分线测量,媒体代理和广告平台将面对更集中的预算与更强的发布期脉冲。
第三条主线是跨平台游戏在不同平台执行不同投放策略。Fortnite、Call of Duty、EA Sports FC 和Delta Force 在美国移动端广告支出中各有49%至60%投向移动应用网络,YouTube或Instagram作为次要渠道;同样的品牌在PC/主机端完全不投应用网络,而是以YouTube和Instagram为基底,两个最大发布品牌还叠加电视:Call of Duty 将45%的PC/主机支出投向OTT、线性电视和桌面视频,Fortnite 为18%。Roblox 是两套策略最接近的案例,移动端44%、PC/主机端79%投Instagram;Delta Force 则相反,移动端在应用网络、Instagram、YouTube和TikTok之间较均衡,PC/主机端75%投YouTube。跨平台不等于同素材、同渠道、同归因,团队需按安装场景拆分媒体组合、创意与归因分析,移动端重视应用网络与社交,主机端重视视频与电视大屏,并用MMP/SKAN区分平台转化路径。
第四条主线是两端的投放时钟不同。Black Ops 7 在五个月内完成投放,大部分集中在2025年11月,随后转静;Modern Warfare 4 在2026年重复了类似形态。主机战役期间,移动端投放并未下探。EA Sports FC 呈现同样节奏但权重相反:FC Mobile 是该品牌在美国最大广告主,支出1710万美元,并在2026年7月达到530万美元峰值;FC 26 的710万美元集中在9月至12月发布窗口。移动端承载全年基线,年度发布承载秋季脉冲,主机发布是在移动基线之上叠加爆发,而非抽走移动预算。实践上应采用移动端常青投放加主机发布期脉冲的预算节奏,按平台设置KPI,避免用同一ROAS考核两端,并通过增量实验评估发布期的叠加效应。
值得关注的是,创意数量的跃升并未同步带来更多有效素材:测试层扩容超过六倍,而有效素材仅增长1.7倍,说明游戏UA正从“押注大制作”转向“高频、低成本试错”。创意产能和筛选效率因此成为新的瓶颈,素材批量生产与自动化投放的工具链价值随之抬升。主机端首方广告预算向任天堂与PlayStation集中,二者合计占87%,平台侧的预算决策更集中,渠道与代理的议价结构也在变化。
跨平台IP在移动端与主机端采用两套渠道组合、两套时间节奏,反映预算归口与组织分工正在拆分,跨端归因与团队协同方式会直接受影响。
AppsFlyer’s 2026 creative data shows video and static image ads reward opposite creative qualities, so ad ops teams should plan, budget, and test them separately. Video spend is concentrating: gaming’s top 2% of video creatives captured 60.7% of spend, up from 53.5%, while image spend spread out. Top spenders are testing far more variations, widening the testing gap. Action/Strategy and Puzzle/Lifestyle show format-specific tone and social-proof reversals; Finance is the exception. Teams should use AI-assisted variation, analyze video winners deeply, keep broad image testing, and measure performance at attribute level.
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.
TikTok For Business is courting new advertisers with a tiered credit promotion: spend $100/$500/$1,500 and receive equivalent ad credits, with the top tier adding 1:1 expert support. For ad ops decision-makers, the surrounding content underscores a strategic shift: marketers should embrace marketing mix modeling (MMM) rather than last-touch ROAS, leverage full-funnel AI automation, and use seasonal/industry playbooks (beauty, fashion, sports) to align creative with intent. Key takeaway: combine offer-based trial with longer-horizon measurement and structured content planning to maximize TikTok ad efficiency.
TikTok for Business is promoting tiered first-30-day ad credit incentives for new self-serve SMB advertisers: spend $100 get $100, $500 get $500, or $1,500 get $1,500 plus 1-to-1 expert onboarding support, with a headline entry offer of 50% off first-month spend up to $200 and matching credits up to $6,000. Credits are applied within 7 days of hitting the highest threshold or after the 30-day accumulation window. Eligibility excludes agency, Business Center, and TikTok Shop accounts, and limits one ad account per new TikTok For Business account. For ad ops teams, these terms dictate budget pacing, account structure, and credit-expiry planning.
This TikTok for Business landing page promotes a limited-period new-advertiser incentive program offering up to USD 6,000 in matched ad credits. Three self-serve tiers are presented: 50% off first 30-day spend (up to $200), dollar-for-dollar match up to $500, and match up to $6,000. A separate headline offer advertises Spend $100/Get $100, Spend $500/Get $500, and Spend $1,500/Get $1,500 plus 1-to-1 expert onboarding support. Registration requires email or phone sign-up with 2-step verification. Eligibility is restricted to new SMB self-serve accounts, excluding agency, Business Center, and TikTok Shop accounts; credits post within 7 days of hitting the highest threshold or after the 30-day window.
Q4 2026 planning should treat peak shopping as a compressed event, not a week. Black Friday/Cyber Monday purchase lift runs 2–3x install lift, so ad ops must schedule by daypart and hour. Singles Day is not global: Brazil, UAE and Spain show real lift, while US/France barely react. CPI spikes hardest in supposedly cheap markets—Spain’s CPI rose nearly 50%. Remarketing already drives 65–92% of non-organic spend and rises during peak. Deep linking is critical: deep-linked users are ~2x more likely to purchase and spend nearly 3x more. Benchmark market CPI, shift budget to remarketing, and connect every entry point.
TikTok is offering new advertisers up to $6,000 in ad credits through a tiered spend incentive ($100/$500/$1500) that includes 1-to-1 expert support at the top tier. However, eligibility is restricted to new SMB self-serve accounts, and credits expire. Alongside the offer, TikTok has rolled out several ad tech innovations—Symphony AI creative suite, Streaming Ads, Agentic Hub, Market Scope, and new MMM data—that provide actionable opportunities for testing and scaling performance. Ad ops teams should review eligibility criteria carefully and consider leveraging these tools to maximize ROI during the promotional window.
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.
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