Supply Path Optimization (SPO) has become crucial for mobile advertisers as programmatic supply chains grew complex with in-app bidding. While bidding improved publisher yield, it created multiple pathways to the same impression, causing DSPs to receive duplicate bids from different exchanges that artificially inflate prices. SPO strategies help advertisers identify which supply partners add value versus those that don't, allowing them to cut unnecessary intermediaries, reduce hidden fees, and improve campaign performance without losing access to quality inventory.
Marketing attribution identifies which channels drive conversions, helping allocate budgets effectively. It uses models like single-touch (first/last click) or multi-touch (linear, time-decay) to assign credit across customer journeys. Challenges include privacy changes and tracking difficulties, but solutions like MMPs and AI can help optimize campaigns.
Mobile market outlook is optimistic with smartphone sales rebounding and gaming revenue growing 4% in 2024. Marketers get bigger budgets using AI, but face privacy and competition challenges. Key reports provide data on ad trends, gaming benchmarks, and subscription insights.
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.
Mobile marketing experts recommend trusting teams, embracing authentic UGC ads, leveraging AI for personalization, simplifying creatives, updating funnels, focusing on user motivations, testing continuously, and building strong partnerships.
TikTok recommends broad targeting for most advertisers, as it outperforms narrow targeting with lower CPA and higher conversion rates. Use Smart Targeting to expand when performance drops. Validate that advanced techniques beat broad targeting.
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.
Sports publishers face unique monetization challenges due to event-driven traffic spikes. AI-native SDKs like Moloco optimize ad revenue in real-time without harming user experience. By connecting publishers to premium demand and leveraging machine learning, these tools help maximize yield during high-engagement moments. Key publishers (LiveScore, Sofascore, etc.) adopt Moloco to balance revenue growth with fan retention. The trend reflects a broader shift toward transparent, automated monetization across the app ecosystem.
Ad monetization dominates mobile gaming downloads, with puzzle titles driving over half of ad revenue across major networks. Hybrid-casual has split into two models: ads-first and IAP-first, with IAP-driven titles significantly outperforming in total earnings. Success requires aligning game design, network choice, and regional strategy. The report emphasizes that ad strategy is now foundational, not secondary, for player acquisition and monetization.
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