MAU Vegas 2023 underscored CTV as a promising incremental marketing channel, with AppLovin's 'CTV: Unplugged' networking party launching the event. Key insights from panels: Adjust's Katie Madding and Jam City's Winnie Wen emphasized continuous testing, exploring CTV, influencer marketing, and partnerships, adopting SKAN 4, and understanding true data costs (e.g., Random Logic Games reduced measurement costs by 40%). AppLovin's Andrey Kazakov and SmartNews' Andrew Kim highlighted CTV's multi-channel attribution, optimization at source level with CPI purchasing, and massive reach.
Eric Seufert introduced 'Marketing Economist' concept: shifting from deterministic to probabilistic measurement using econometric models, leveraging market, product, and macroeconomic data to overcome 'flying blind' post-IDFA. He advised behavioral changes: adopting probabilistic reporting and adjusting media-buying workflows. Actionable recommendations: test SKAN 4, partner with adaptable MMPs, embrace CTV, and educate finance teams on probabilistic inputs.
Overall, marketers must adapt to uncertainty, broaden data sources, and evolve measurement frameworks to thrive in the privacy-first era.
MAU Vegas 2023 highlights: AI transforms marketing with content automation, ethical concerns, and higher skill ceiling. Non-gaming app marketers should embrace simplicity, CTV (67.8% US reach), and user-generated content. Mobile Splash party, co-hosted by Adjust and AppLovin, showcased networking. Key takeaway: creativity remains core to integrated marketing amidst attribution changes.
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.
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.
User testing reveals the gap between designer intent and user experience, uncovering silent churn causes like unclear onboarding or passive ad chains. Analytics show what happens; user testing explains why. Small tests (5-8 participants) can identify friction points, and improving retention by 10% can significantly boost revenue without changing monetization. For ad ops, this means better user engagement reduces wasted ad spend and increases lifetime value.
Subscription apps like Netflix and Spotify charge recurring fees for premium features. They offer predictable revenue, higher user loyalty, and better App Store rankings. Key models include flat-rate, tiered, and per-user pricing. Success requires value-driven pricing, free trials, and transparent practices.
Adjust Ignite 2026 returns as a global conference series for app marketers, covering mobile measurement, attribution, deep linking, AI, and evolving user behavior. Partnering with Sensor Tower, the first event is in San Francisco on July 9, followed by Tokyo, São Paulo, Istanbul, Guangzhou, and Cyprus. Sessions focus on practical, real-world experiences rather than theory, addressing privacy-first measurement, AI integration in marketing workflows, and strategies for acquisition, engagement, and long-term value. Attendees gain actionable insights and networking opportunities with industry peers.
Mobile game studios are expanding to PC and console platforms to boost revenue and reach new audiences. This shift is driven by higher ARPU on consoles, privacy regulations, and market saturation on mobile. Cross-platform measurement solutions are essential for tracking user flows and optimizing performance marketing across devices.
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.
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