美国零售美妆广告大盘整体走强。2025年9月至2026年9月,该品类投放同比(YoY)增长23%,花费在12月如期触顶,4月形成次高峰。TOP5投放品牌为Sephora(占美妆零售广告花费35%)、Ulta Beauty(18%)、Target(7%)、Amazon(6%)与Macy's(6%),五家均实现健康的正向增长,其中份额最高的Sephora增速最低(+23%),Amazon最高(+61%)。季节性节奏上出现明显分野:Sephora、Ulta与Macy's遵循常规曲线,12月冲高、1月回落;而更偏综合零售的Target与Shop Amazon则逆势而行,在新年之际反而加码美妆投放。
渠道预算分配上,垂类与综合零售商的优先级差异清晰可见。整个美妆零售品类中,除TikTok录得1%的微降外,各平台花费均实现YoY增长,Instagram(+57%)与OTT(+52%)涨幅最大。落到五大玩家身上:综合零售商以OTT为主阵地,Target、Amazon、Macy's均将最多预算投向OTT;而美妆垂类渠道则重仓社媒——Sephora把25%的预算给了Instagram,Ulta把20%给了Facebook。双方都没有完全放弃任一渠道,但优先级的差异说明其目标函数不同:垂类品牌在追逐互动与发现(discovery),综合零售商在追逐规模化触达(raw reach)。
另一个分化点出现在ChatGPT原生广告这一新兴版位。尽管其占各品牌整体预算的比例仍然很小,但Sephora与Ulta的投入力度显著高于其他竞争者:在该渠道的累计广告花费中,Sephora与Ulta各占44%,合计达88%。创意数量同样印证这一趋势——12个月周期内,Ulta在ChatGPT上投放了149条独立美妆创意,Sephora为42条,其后是Target(31条)、Macy's(5条)和Shop Amazon(1条)。可见垂类美妆品牌正把LLM广告位用于美妆创意测试,而综合零售商可能更倾向于把LLM广告预算留给其他商品品类。
在创意版位与形式层面,美妆零售整体有43%的广告为Feed,26%为In-Stream,Reels占16%,Stories占6%;视频广告在投放素材中占比高达72%,显示出对视频形态的强烈偏好。值得注意的是Pinterest:其品类花费占比仅10%,不算突出,但除Macy's外,每个被研究品牌在Pinterest上的独立创意份额都是最高的。这说明花费与创意量讲述的是两个不同的故事——Pinterest更像是跑量、做素材实验的试验场,而非预算优先级,广告主需相应做好素材疲劳管理与创意产能规划。
总的来看,2026年的美妆零售商不只是花得更多,更是在花向不同的渠道、并测试综合零售商尚未系统性纳入战略的新流量面(如ChatGPT、Pinterest)。对广告主而言,这意味着需要按渠道分别设定ROAS与增量目标,正视创意产能与预算配置之间的错配,同时尽早布局LLM广告等新兴版位的早期红利,并提前准备相应的归因与效果衡量方案。
值得关注的是,这组数据背后是零售媒体网络(RMN)与 AI 原生广告两个赛道同时进入分化期。垂直美妆零售商押注社交、通用零售商押注 OTT,本质差异在于转化闭环能力:前者自带站内成交与一方数据,敢把预算放在发现层;后者依赖规模化触达,为多品类分摊成本。ChatGPT 广告的集中度尤为关键——该渠道尚未形成标准化归因与竞价机制,头部品牌以创意数量而非预算规模占位,属于典型的早期试探信号。
Pinterest 上「创意多、花费少」的错位,则提示创意产能正成为可低成本验证的变量。对 UA 与变现团队而言,跨渠道预算可比性持续下降,渠道角色的重新定义比单渠道 ROI 更值得关注。
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.
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.
TikTok for Business is rapidly expanding its ad tech stack with AI-powered creative tools, new ad formats, and enhanced measurement. Key updates include the Symphony creative suite with Dreamina Seedance 2.5, the Agentic Hub for AI-managed campaigns, Streaming Ads for subscription growth, and GMV Max for TikTok Shop ROI. New analytics via Market Scope and the Attribution Portfolio promise deeper audience insights and full-funnel measurement. Salesforce CRM integration streamlines lead transfer. A limited-time offer provides up to $1500 in ad credits for new advertisers, incentivizing adoption of these advanced solutions.
TikTok's UK/Europe scale (30M+ UK, 200M+ EU) and content graph make category objections obsolete. For ad ops, success comes from relevance, not trends: proof-led demos, explainers, reviews, and problem-solving content can reach high-intent audiences without a large follower base. Case studies show material performance: Toyota CPA -38%, BCP 10x registrations, Randstad 2.81% CTR/17M impressions, Prep Kitchen +44% conversion and +374% orders with Smart+, PureGym CPA -77%, HydroClean cost per conversation -74%. Action: test utility/creator content, use Smart+ for scaled creative testing, layer TopView on trusted content, and target niche communities rather than broad reach.
US digital ad spend hit $201B (+15% YoY) with 19T impressions (+7%). Facebook remains the top US ad channel at $42.9B; Shopping leads categories, and P&G is the #1 advertiser. Generative AI is compressing creative cycles: Gaming saw +54% unique creatives, with Food & Dining, Financial Services, and Media & Entertainment also accelerating. ChatGPT ad impressions are diversifying beyond Shopping (36.5% to 20.9%), while Financial Services, Travel, and Health & Wellness expand. OTT spend reached $12B (+17% YoY), outpacing YouTube (+6%) as Linear TV declines (-3%). Ad ops should shift budget toward streaming OTT and AI-driven creative testing while monitoring conversational AI as a high-intent channel.
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.
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