Amazon's new Retail Ad Service provides retailers with advanced ad tech including contextual relevance, native demand from Amazon's advertiser network, and management tools for search, browse, and product pages. However, the offering carries significant risks: Amazon has a conflict of interest, as it gains higher margins from its own inventory, potentially prioritizing its ads over retailers'. Data privacy is another major concern, as sensitive first-party data must be shared within AWS environments.
The article argues that while legacy solutions have failed, independent AI-native platforms like Moloco offer automation and personalization without the competitive threat. Actionable takeaways: retailers should evaluate independent partners that ensure data neutrality, maintain direct advertiser relationships, and provide ML-driven performance. Amazon's move targets smaller retailers, but larger ones may find the trade-offs too risky.
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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