Marketers face increasing complexity in measuring cross-channel media strategies due to fragmented consumption and privacy changes. Marketing Mix Models (MMMs) are seeing a resurgence, with 60% of US advertisers using them. Google introduced Meridian, an open-source MMM designed to be privacy-durable and advanced.
It features methodology innovations like calibration with incrementality experiments, reach and frequency incorporation, and search measurement guidance. Meridian is transparent, allowing users to modify code, and actionable with richer data inputs and budget optimization. It also provides educational resources.
According to Deloitte, leaders prioritizing MMMs are over 2X more likely to exceed revenue goals by 10%+. Meridian aims to help teams navigate toward better measurement and business outcomes.
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.
The open internet offers vast, incremental scale for app marketers beyond walled gardens, but its complexity requires supply path optimization (SPO). With non-exclusive inventory and multiple bid requests per impression, advanced machine learning is crucial to select optimal paths, price bids accurately, and serve effective creatives in milliseconds.
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.
A creative strategy is essential for mobile app marketing success. It combines compelling content with strategic planning to increase app installs and engagement. Key steps include defining objectives, understanding your audience, and setting KPIs. Best practices emphasize consistency, agility, and leveraging AI for optimization.
TikTok video ads use short, engaging clips to promote brands. Effective ads start with a strong hook, include clear CTAs, use sound and text overlays, and test formats. TikTok offers In-Feed, TopView, Spark Ads, and more for diverse marketing.
Retention rate is a critical KPI for mobile apps, showing user engagement and loyalty. It costs 5x more to acquire than retain users, and a 5% retention boost can increase profits up to 95%. Focus on quality users, seamless onboarding, and re-engagement to improve retention. Monitor key milestones like Day 1, 3, 7, 14, 28, 30 for insights.
CTV has become performance-ready for app marketers. Recent acquisitions (Fox/Roku, Walmart/Vibe) signal a shift to self-serve, measurable channels. Marketers can reuse existing UA creative instead of producing TV ads. QR codes drive direct response, but halo effects often matter more. Start with small, additive test budgets and measure assists/incrementality to understand true impact. CTV offers a way to find incremental users and diversify beyond paid social.
Google Marketing Live introduces generative AI for ad creative, enabling brand-aligned asset generation, immersive shopping ads, visual storytelling on YouTube, and AI Overviews in Search. These tools scale production, boost conversions, and improve consumer confidence.
Holiday shoppers turn to video for authentic validation, with 94% of YouTube users taking further purchase steps after w...
YouTube's reach and frequency optimization for video campaign groups is now globally available in Google Ads, allowing a...
Google is adding a 'How this ad was made' section to My Ad Center, disclosing if an ad was AI-generated. For ads created...
New features for YouTube Video Reach and Video View campaigns include automatic inclusion of Shorts Ad Actions in budget...
YouTube's Demand Gen expansion now offers broader video aspect ratio transformations, AI-powered creative insights via G...
At Cannes Lions, Google announced new insights tools built with Gemini to enhance creator marketing on YouTube. Key feat...