During Advertising Week New York, AppsFlyer participated in discussions with industry leaders from Roku, Tinuiti, GoPuff, and US Soccer, focusing on measuring performance across connected TV (CTV), mobile, and AI-driven channels. Brian Quinn, President and GM of North America at AppsFlyer, highlighted agentic AI's potential, with ChatGPT's SDK integration enabling brand experiences within conversational ecosystems. However, measuring ROI across these emerging channels remains a challenge.
In a Flyerside Chat, Roku's Dan Lapinski emphasized that while last-click attribution has its place, CTV success depends on understanding incremental impact. Tinuiti's Harry Brown stressed incrementality for proving campaign results and the next phase of turning measurement insights into data activation and audience building. Panelists agreed CTV has become easier and more cost-effective, creating a window for advertisers before prices rise.
Another panel with GoPuff, US Soccer, and M&C Saatchi Performance discussed aligning brand and performance goals through unified measurement. Tyler Stewart from GoPuff noted reframing brand marketing to drive measurable behavior, while Ange Morris from US Soccer emphasized working with transparent partners. Key takeaways: cross-channel measurement is non-negotiable, incrementality proves real impact, data activation is the next frontier, and alignment beats automation.
The central theme is that marketers need clarity and proof of performance, and unified measurement frameworks are essential regardless of channel.
What's notable here is the convergence of messaging around CTV measurement and the role of AI. The industry is signaling that CTV has reached a tipping point where cost and ease of entry are favorable, but the window is closing. For ad ops and UA teams, the key implication is that incrementality testing and data activation are no longer optional—they are prerequisites for justifying CTV spend.
The discussion around ChatGPT's SDK integration also highlights an emerging channel that will require similar measurement rigor. Meanwhile, the consistent theme of unified measurement underscores that the bottleneck is organizational alignment, not technology. This matters now because as CTV scales, those who establish cross-channel measurement frameworks early will have a competitive advantage in proving ROI and optimizing spend.
The emphasis on data activation over last-click attribution reflects a broader shift toward performance-based brand marketing, which demands closer collaboration between brand and performance teams. Ad ops professionals should note that the convergence of CTV, mobile, and AI-driven channels makes a unified measurement stack essential for navigating fragmentation and privacy constraints.
App measurement is fundamentally different from web analytics due to data fragmentation across ad networks, devices, and apps. A Mobile Measurement Partner (MMP) like AppsFlyer bridges these gaps, enabling unified attribution, fraud protection, and LTV measurement. For eCommerce, granular event tracking, deep linking, and privacy-safe data collaboration are critical. Leaders should focus on metrics like IR, CPI, LTV, and ROAS, and adopt AI-driven optimization to overcome challenges like ad fraud and privacy changes. The future is Connected Commerce—integrating apps, web, retail media, and AI.
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.
Banks lack unified attribution for owned channels (email, SMS, push), web, QR codes, and re-engagement, causing budget misallocation. Omnichannel attribution connects all touchpoints to deposits and loans, revealing that owned channels can be 2-3X more cost-efficient than paid ads. Cross-device journeys (e.g., mobile ad to desktop conversion) remain invisible in single-device attribution. Banking-grade compliance (SOC 2, ISO 27001) is maintained. Ad ops decision-makers can optimize budget allocation by comparing true cost per deposit/loan across channels.
TikTok's full-funnel automation, integrating creative, media, and measurement, addresses fragmentation in AI tools. Brands using Smart+ and GMV Max see improved ROAS and CPA. Case studies show Naturium achieved 3.5x ROAS, PHLUR 191% higher ROAS, and Leatherman 97% revenue increase. Symphony and Content Suite enable scalable, authentic content. The key is pairing automation with strategic storytelling.
Adjust's 2026 predictions emphasize multi-platform measurement, AI-driven decision-ready insights, and linking optimization for growth. Key themes include aggregating signals for privacy-safe personalization, predictive analytics for long-term success, and evaluating paid and organic performance together. Regional highlights: Europe's gaming growth via monetization, China's AI-native entertainment, APAC's market divergence, Japan's demand for integrated measurement. Actionable takeaway: invest in unified analytics that connect mobile, web, and offline touchpoints to optimize user journeys and ROI.
The article argues that the traditional split between brand and performance marketing is outdated. Consumers experience a fluid journey, so marketers must adopt a 'full-funnel' approach, blending both strategies—'brandformance.' TikTok provides tools for targeting, creative, automation, and measurement to execute this. Key insights include using interest-based targeting, Search Ads, creator content, and incrementality testing. The piece emphasizes that brands like Steve Madden succeeded by combining awareness and conversion tactics, proving that integration drives better ROI than siloed efforts.
Digital banks grow 50% annually by mastering behavioral segmentation, deep linking, and measurement infrastructure. Traditional banks can recover 15-25% of abandoned onboarding and boost conversion 30-40% using behavioral triggers. Deep linking improves conversion 3-5X by eliminating friction. Measurement infrastructure proves ROI, enabling evidence-based budget shifts. Most banks achieve positive ROI within 30-60 days when implementing these tactics together.
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