The rise of mobile technologies has fragmented people's time and attention, making it difficult for marketers to determine optimal ways to reach audiences. Planners and strategists face complex decisions on where to allocate media. To tackle this, Facebook proposes people-based marketing, which focuses on individuals across devices and platforms.
This approach improves planning and measurement, allowing for more effective targeting. While a full shift may be challenging today, adopting elements of this strategy can prepare marketers for the future by aligning with how people actually consume content, thus enhancing campaign effectiveness and ROI.
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.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
Facebook offers two measurement options: using an MMP or Facebook's own tools. MMPs provide cross-campaign attribution, avoid double attribution, and grant user-level data access. Choosing an MMP is recommended for accuracy and independence.
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.
Mobile app measurement has solved the single-channel problems that plague other digital channels—independent attribution (neutral third-party verification), privacy regulation (survived iOS 14.5 with new methods), signal governance (provenance, chain of custody), fraud detection (15% fraudulent installs, 275% fake installs in some channels), and cross-platform fragmentation. These capabilities, built under duress, now form the foundation for omnichannel measurement. Ad ops must apply mobile-grade rigor per channel first, then connect via CUID, unified attribution logic, and real-time data governance to build a trusted cross-platform framework.
Mobile video demands fast, clear branding and messaging within seconds. PockeTVCs optimize TV assets by front-loading brand, using graphics, and shorter durations for better mobile performance.
World Cup data from Liftoff's SSP shows ad impressions in sports scoring apps nearly doubled (+90%) and unique audience grew ~40% during the tournament, highlighting massive second-screen engagement. BeSoccer reported DAU +63% and visits +128%. Despite high attention, mobile ad investment ($0.07/user hour) lags far behind TV ($0.38). For ad ops, the key insight is to plan multi-screen campaigns that complement TV with premium in-app inventory during live moments, capturing intentional attention where fans actively seek scores, stats, and highlights.
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.
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