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.
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.
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.
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.
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.
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.
The open internet offers vast, incremental scale for app marketers beyond walled gardens, but its complexity requires supply path optimization (SPO). With non-exclusive inventory and multiple bid requests per impression, advanced machine learning is crucial to select optimal paths, price bids accurately, and serve effective creatives in milliseconds.
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