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-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.
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.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
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