The retail media landscape in the US is undergoing a significant shift, as total impressions declined 17% in H1 2026. However, this decline is not uniform: home improvement retailers like Lowe's and Home Depot saw impressions surge 151% and 43% respectively, while Amazon—which controls 60% of the market—experienced a 16% drop. Walmart and Target also saw declines, indicating that general merchandisers are re-evaluating their retail media strategies. In contrast, specialized networks in pharmacy, pet, and beauty gained traction.
Channel allocation reveals a clear split: offsite advertising remains the primary choice for vertical-specific networks such as PetSmart, Instacart, and Sephora, which rely on it for 100% of their impressions. Meanwhile, general merchandisers are increasingly adopting onsite ads to drive bottom-of-funnel conversions. Amazon notably boosted its onsite share to 56%, signaling a shift toward owned real estate for capturing high-intent shoppers.
Category diversification is another key trend. Networks like Amazon and DoorDash are expanding beyond their core categories into health, finance, and telecom, attracting a broader advertiser base. On the advertiser side, CPG brands are the most active diversifiers, with over 80% of top advertisers using at least two different retail media networks.
For ad operations decision-makers, the takeaways are actionable: first, evaluate specialized RMNs as alternatives to the dominant players, as they are currently experiencing above-market growth. Second, balance onsite and offsite placements based on your funnel objectives—onsite for conversion, offsite for reach. Third, adopt a multi-network strategy, particularly if you operate in CPG, to hedge against volatility and capture audience-specific opportunities. Finally, monitor how major networks like Amazon shift their inventory and pricing as they evolve, as this will directly impact your media planning and ROI. By staying agile and data-driven, advertisers can navigate this complex channel and turn the current reshuffling into a competitive advantage.
What's notable here is the clear rotation from generalist to specialist retail media. As Amazon's impression volume contracts 16%, specialized networks in home improvement, pharmacy, pet, and beauty are picking up share. The implication is that scale alone no longer guarantees advertiser preference; vertical relevance and demonstrated shopper intent are becoming determining factors. This is a maturation signal for the channel, and it's worth watching whether home retailers' 151% YoY surge is durable or cyclical.
The onsite versus offsite split highlights divergent monetization strategies. Amazon's move to 56% onsite share indicates a focus on closing the loop on owned traffic, while fully-offsite verticals like PetSmart and Sephora borrow third-party audiences for discovery. For ad ops, this complicates cross-network comparisons—impression volume says less about value if inventory mix differs.
Category diversification by majors like Amazon and Doordash shows retail media networks are no longer bound to their retail roots. Expanding into Health, Finance, and Telecom, they become horizontal demand engines. The key implication: budget flows across categories may become more fluid, and network selection will increasingly depend on audience overlap rather than retail category alignment.
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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