亚马逊在CES上宣布推出Amazon Retail Ad Service,将其自有的站内广告技术打包给其他零售商使用,核心功能包括基于机器学习的上下文相关广告投放、原生需求集成和广告管理工具,目前仅支持Sponsored Product格式,处于内测阶段。该服务旨在帮助中小零售商提升广告变现能力,同时为亚马逊聚合更多广告库存,强化其与谷歌、苹果等竞争对手的对抗地位,但大型零售商因数据安全与利益冲突风险多未参与。
亚马逊约68%的利润来自广告,其站内广告因高利润率、品牌安全、第一方数据精准定向及闭环归因优势日益重要。通过推出ARAS,亚马逊希望吸引更多零售商使用其技术,但自身利益优先于合作伙伴——其自有站点广告利润率是第三方零售商的5倍,存在明显的竞争冲突风险,类似此前谷歌和苹果的垄断诉讼。
数据隐私是零售商核心担忧:ARAS基于AWS,零售商需登录管理数据,并在AWS Clean Rooms中完成广告测量,尽管环境安全,但可能导致敏感客户数据泄露,削弱零售商的竞争护城河。亚马逊的广告主网络虽能带来额外需求,但多数大型RMN倾向维护直客关系,且已有Skai、Pacvue、Criteo等无利益冲突的聚合平台可选。
独立AI原生平台如Moloco提供了第三条道路——利用ML自动化实现个性化投放与规模化运营,同时保证数据主权、竞争中立与广告主直营关系。零售商应选择这类技术伙伴,在提升广告提效和增量回报的同时,避免将核心数据交给最大竞争对手,从而构建可持续的零售媒体广告业务。
Retail media networks (RMNs) are poised for major growth in 2025, with personalized, AI-driven onsite ads becoming top priority. Advertisers demand performance-based outcomes like CPO and tROAS, while retailers invest in self-serve platforms and go-to-market teams. Key shifts include mid-funnel formats, regional variations (US in-store, EU onsite), and tech partnerships to scale. RMNs that combine ML personalization with streamlined operations will dominate.
Retailers building retail media networks (RMNs) can learn from Google, Meta, and Amazon by leveraging first-party data, machine learning, self-service automation, and outcomes-based performance. Key insights include using purchase intent signals and loyalty data for personalization, investing in AI for targeting and optimization, automating campaign management to scale advertiser participation, and moving to outcome-based pricing like closed-loop attribution. These strategies transform RMNs into high-margin ad platforms that deliver value for brands and shoppers.
Onsite retail media ads remain the most critical driver of RMN growth, accounting for over 80% of ad spending. They offer higher ROAS, better margins, and brand safety. Leading RMNs like Amazon and Walmart generate most media revenue from onsite. Growth can be unlocked through ML optimization, self-serve platforms, and outcomes-based campaigns, even without massive traffic increases.
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.
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.
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.
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.
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