Sensor Tower发布的《Retail Media Report 2026》揭示了美国零售媒体广告格局的显著变化。整体来看,2026年上半年美国零售媒体总展示量同比下降17%,但家装零售商成为亮点,Lowe's的展示量同比飙升151%,Home Depot也增长43%。相比之下,亚马逊作为占据国内零售媒体市场60%份额的巨头,其展示量萎缩了16%,Walmart和Target也出现类似下滑,反映出综合商家在零售媒体网络中的投放策略正在调整,而垂直领域网络(如药房、宠物、美妆)则从中受益。
在渠道分配上,offsite广告仍是大多数主要网络的首选,Pet Smart、Instacart和Sephora等垂直RMN甚至100%的展示量来自offsite。然而,Walmart和Target等综合零售商开始加大对onsite广告的投入,利用自有数字资产锁定底层漏斗转化,以捕获高意向用户。亚马逊也在2026年上半年提升了onsite广告占比,使其达到该网络总展示量的56%,成为主导的广告类型。
从品类和广告主策略来看,零售媒体网络和入驻广告主均在走向多元化。亚马逊和Doordash等主要平台正突破核心品类,在健康、金融、电信等垂直领域吸纳大量媒体支出。同时,CPG品牌的投放策略最为分散,超过80%的头部广告主至少使用两个不同的零售媒体网络进行推广。这表明品牌正通过多渠道组合优化触达效率,并借助归因分析实现增量提效,而RMN则需在垂直化与综合化之间寻求新的增长平衡。
零售媒体正从规模扩张转向结构分化,这或成为2026年上半年最值得关注的行业信号。在整体展示量收缩的背景下,资源正朝着垂直场景和自有流量倾斜,反映出广告主对高意向触达与转化闭环的重视。同时,头部平台在维持offsite规模之余,开始强化on-site阵地,显示“站内转化”的价值被重新评估。
对于广告运营与变现团队而言,关键信号在于渠道组合的多样性——不仅是媒体平台的多元选择,也包括站内/站外、品牌/效果等维度的平衡。这一趋势与隐私政策收紧、AI优化投放效率等宏观因素交织,使零售媒体网络的竞争从“比量”转向“比质”,对精细化运营能力提出更高要求。
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.
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.
Retail beauty ad spend rose 23% YoY, with December and April peaks. Sephora (35% share) and Ulta (18%) dominate, but Amazon grew fastest (+61%). A key split: beauty-specific retailers prioritize social—Sephora puts 25% on Instagram, Ulta 20% on Facebook—while Target, Amazon, and Macy’s favor OTT for reach. Instagram (+57%) and OTT (+52%) led channel growth; TikTok slipped 1%. Sephora and Ulta account for 88% of ChatGPT beauty ad spend and most unique creatives. Pinterest drives high creative volume despite only 10% spend. For ad ops: align channel mix to discovery vs. reach, and test emerging surfaces (ChatGPT, Pinterest) with agile creative volume.
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.
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.
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 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.
Meta's 2026 award winners show ad ops teams winning with automation, first-party signals, and creator/business messaging. Dior used Moment Maker plus Reminder Ads to scale a livestream, then Lead Ads, driving 267% more reminder signups at 24% lower cost. Its holiday rebuild consolidated campaigns into Advantage+ Shopping with CRM data, lifting ROAS 59% and cutting CPA 41%. Feastables used creative testing to find clean-label messaging, yielding a 23.9-point ad recall lift. American Eagle scaled organic creator posts via Partnership Ads; Boost Mobile used Click-to-WhatsApp plus incrementality testing; Winn-Dixie fed store conversions via Conversions API; NAR tested Advantage+ Audience; Compartés scaled with Advantage suite. Let data pick winners, then scale when efficiency holds.
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