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.
This TikTok For Business page showcases a limited-time promotional offer for new advertisers: spend $100-$1500 to receive matching ad credits and expert support, alongside a collection of research articles and case studies. Key insights for ad ops decision-makers include the effectiveness of TikTok's GMV Max tool (yielding +15% average revenue gains on TikTok Shop UK), full-funnel automation's role in driving growth, and creative strategies for retail/CPG and small businesses. The content emphasizes data-backed ROI, platform-specific solutions, and actionable best practices to help advertisers optimize campaigns and capitalize on TikTok's proven business impact.
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.
Snack Foods dominated retail media's food category in 1H 2026, accounting for a third of impressions. Leading advertisers ranged from legacy CPGs like Frito-Lay and Oreo to emerging wellness brands including David Protein and Khloud, with rankings shifting via major campaigns. Amazon (1.3B) and Walmart (710M) led impression volume, favoring OnSite Display, while other RMNs leaned on OffSite channels. Notable examples: Instacart saw 60% OTT impressions, and Walmart drove 13% Snapchat share. For ad ops, success requires tailoring channel mix and creative to each retail media network, with flexible strategies that respond to campaign-driven spikes.
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
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 Ads is courting new advertisers with tiered ad credits (spend $100/$500/$1500, get same in credit) plus expert support for the top tier, but credits expire by end of 2023. Decision-makers should note strict eligibility: only self-serve SMB accounts, no agency-created or TikTok Shop accounts, one account per business, and a 30-day spend window. Research from Circana, GroupM/KIKO, and Samba TV indicates TikTok often outperforms traditional attribution models. Salesforce CRM integration and Canva creative tools reduce friction, while quarterly safety reports strengthen brand protection. Overall, incentivized testing, robust measurement, and enhanced integrations make TikTok a viable paid social channel for SMBs.
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.
The Hair Care retail media landscape is highly fragmented: no brand holds more than 12% of category impressions, and 248 brands compete. Ad ops leaders should avoid a one-size-fits-all approach. Retailer environments differ sharply—Amazon drives conversions via OnSite Display, Sephora/Ulta support full-funnel social/video/OTT, and Walmart pairs OnSite with TikTok influencer creative. Moroccanoil’s lead came from a multichannel Sephora campaign, proving that premium beauty retailers reward integrated storytelling. With Walmart’s impressions trending as the second-fastest-growing RMN, investing there with display and OTT can capture emerging demand. Success requires tailoring creative and channel mix to each retailer's strengths.
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