Advertising has become essential for e-commerce growth, with Amazon and Walmart as prime examples. Amazon derives 68% of its profits from advertising, generating $46.9 billion in 2023, with high margins allowing reinvestment in lower prices, distribution, and innovation. Walmart generates 12% of profits from Walmart Connect, equating to $3.3 billion annually, which would require building 1,270 new stores to match.
Commerce media delivers high margins (70-90%) without heavy capital expenditure. Success requires balancing user relevance (increasing CTRs sixfold), advertiser results (measurable outcomes), and profit reinvestment into customer acquisition, site experience, and supply chain. Organizational commitment includes deciding between in-house or third-party ad tech, aligning internal workflows, and updating go-to-market strategies.
The potential for $20 million profit per $1 billion GMV makes commerce media transformative for any retailer.
First-party data, collected directly from users with consent, is crucial for marketers due to privacy regulations limiting third-party data. It enables accurate personalization, compliance, and cost savings. Key steps include ethical collection, maintaining clean data, and using it internally for product/marketing optimization and externally via commerce media networks.
DTC brands face rising customer acquisition costs and competition in search and social. In-app advertising offers a high-engagement alternative, with users spending 5+ hours daily on apps. Key stats: 11.4% CTR in gaming apps, 3x more conversions than mobile web. Recommended for holiday scaling.
Retail media networks (RMNs) are rapidly growing but face myths about fragmentation and demand sourcing. Many consider building an SSP to attract demand, but this approach fails to scale. SSPs don't improve inventory performance, shift risk to advertisers, and risk commoditizing inventory. RMNs should instead leverage their unique first-party data and machine learning to drive relevance and performance, following models like Amazon, Meta, and Google to achieve sustainable growth.
Sports betting apps face high acquisition costs and ad saturation. Success requires unbiased attribution via MMP, cross-channel cohesion, and off-season engagement through personalization and gamification. Avoid ad fraud and optimize ATT opt-ins.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
TikTok drives full-funnel performance using Smartly tools. Key stages: discovery, consideration, conversion, and post-purchase advocacy. Use Creative Codes for effective ads. Smartly's solutions optimize campaigns, enhancing consumer journey and driving conversions.
TikTok and Salesforce expand partnership with integrations across Agentforce Sales, Marketing, Commerce, and Data 360. Key benefits: real-time lead syncing from TikTok Lead Gen ads into Salesforce CRM, automated product catalog sync for commerce campaigns, first-party data activation for targeting and lookalike audiences, and AI-powered workflows. This enables advertisers to streamline operations, improve conversion tracking, and turn TikTok discovery into measurable customer relationships.
Data collaboration platforms are consolidating under ad-centric owners, threatening measurement neutrality. Publicis bought LiveRamp, WPP acquired InfoSum, and LiveRamp absorbed Habu, leaving AppsFlyer as the only major independent player. Brands must vet partners for conflicts: does the platform or its parent benefit from ad spend? Without independence, budget allocation and ROAS calculations may reflect agency incentives over actual performance. Key questions: revenue from ads, cross-channel attribution consistency, data governance, and auditable methodology.
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