This month's Demand Gen Drop focuses on bidding optimizations and creative tools for YouTube. New customer acquisition goals are rolling out, with advertisers using New Customer Only Mode seeing an average 11.5% improvement in new customer ratio and a 3% reduction in acquisition cost. iOS deep linking via Web to App Connect is now available, allowing seamless transition from ads to brand apps.
Target CPC bidding now allows optimization and performance comparison across platforms. AI can generate videos optimized for viewer experience, increasing reach. Product feeds act as virtual storefronts, with Demand Gen campaigns using tROAS goals typically seeing a 20% increase in conversions.
Learn more on Google Ads Decoded podcast.
What's notable here is Google's continued investment in turning YouTube into a direct-response engine, not just a brand-awareness funnel. The rollout of New Customer Acquisition goals with an 11.5% improvement in new customer ratio and -3% CPA reduction sends a strong signal: Google is doubling down on first-party data and conversion-based bidding to compete with Meta and TikTok for performance budgets. For UA teams, the ability to deep link iOS users from ads straight into an app is a practical win, addressing a long-standing friction point in app marketing post-ATT.
Target CPC bidding now spanning platforms also hints at an industry shift toward cross-channel optimization frameworks. Meanwhile, AI-generated video creative and product feeds tied to tROAS goals—showing a 20% conversion lift—underscore how automation and structured data are becoming table stakes. The key implication for monetization strategists is that Demand Gen is evolving into a multi-tool suite demanding tighter integration between creative, feeds, and bidding strategies.
These updates also reflect broader trend: platform algorithms are increasingly dictating campaign structure, so ad ops teams must adapt their workflows to leverage these levers rather than rely on manual optimization. The backend improvements mentioned in the podcast signal that Google is listening to early adopter pain points, which should accelerate adoption among fence-sitters.
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.
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.
Over 75% of banking app users drop off after first session due to friction. AppsFlyer's Deep Linking Suite preserves user intent by routing customers directly to relevant in-app experiences from any entry point: web, QR codes, SMS, email, or app. Deferred deep linking ensures non-app users reach the intended destination after installation. Deep linking improves day-30 retention by 110% with personalized onboarding. For ad ops, this reduces wasted ad spend by connecting campaigns to actual conversions like account funding.
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.
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.
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.
Traditional banks must adopt mobile-first strategies to compete with digital banks. Key plays include web-to-app deep linking, email-to-app conversions, branch QR codes, SMS deep linking, and re-engagement campaigns. These tactics drive measurable ROI, with email deep linking achieving 4X higher click-to-install rates and SMS having 98% read rates. Omnichannel measurement is critical to connect marketing touchpoints to revenue. Banks acting now can secure leadership buy-in before competitors prove mobile ROI first.
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.
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