Google Ads is rolling out generative AI capabilities that allow advertisers to create images containing adult people and faces using text prompts, powered by Imagen 3. This feature is available across Performance Max, Demand Gen, Display, and Apps campaigns. The technology aims to help advertisers produce richer, more engaging lifestyle imagery to improve campaign performance.
Google has implemented protocols and safeguards to ensure high quality and compliance with policies: no brand-named products, prominent figures (politicians, celebrities), children or minors, or sensitive/explicit content can be generated. All AI-generated images are tagged with SynthID for transparency. Advertisers can customize prompts by specifying age, gender, race, ethnicity, and nationality, and can hide or provide feedback on generated images.
The article also introduces asset-audience recommendations, which provide ideas for themes and elements that resonate with top audiences (e.g., "nature" or "ocean" scenes). In the coming weeks, AI-generated image suggestions will appear to help implement fresh ideas without starting from scratch. Key data points include the expansion of asset generation to six languages and new campaign types last year.
Actionable takeaways: Advertisers should experiment with detailed prompts for lifestyle images, leverage audience recommendations to improve asset variety, and use the hide/feedback features to refine AI output. This update shortens creative production cycles, as highlighted by a testimonial from Mediaplus Performance Germany.
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
Influencer marketing drives app growth by building trust and authenticity beyond traditional UA. Budgeting should start with target markets, CPM benchmarks, and a 25% uplift in daily organic installs. Choose creators based on data: audience demographics, recent views, and content alignment. Measure performance with granular attribution links (e.g., AppsFlyer OneLink) to track installs, conversions, and ROI. Avoid vanity metrics; focus on CVR, retention, and long-tail effects. Start with small campaigns to gather benchmarks before scaling.
Performance Max now offers channel-level reporting, search terms reporting, and enhanced asset metrics. These updates provide granular insights across Google's channels, enabling advertisers to optimize performance. The open beta for channel reporting starts soon. Key data: over 90 quality improvements in 2024 boosted conversions by 10%+. Advertisers can drill into specific channels, view distribution tables, and get diagnostic tips. Actionable: use insights to refine assets, apply negative keywords, and improve landing pages.
Google Search is evolving with AI to become more exploratory and multimodal, enabling better intent prediction and ad relevance. The new AI Max for Search campaigns suite, launching in beta, offers one-click activation of targeting and creative enhancements. It uses broad match and keywordless technology to expand reach to new, high-performing queries, with typical 14% more conversions at similar CPA/ROAS. Advertisers like L'Oréal and MyConnect saw significant lifts: L'Oréal achieved 2x higher conversion rate at 31% lower cost-per-conversion, while MyConnect gained 16% more leads. New controls include location-of-interest targeting and brand controls for precision.
The mobile advertising industry is optimistic heading into 2025, with 80% of marketers expecting the year to be as strong or stronger than 2024. Non-gaming apps are driving growth, with downloads up 12% YoY and IAP revenue increasing 20%+. Marketers are prioritizing profitability and ROAS, with over half reporting more aggressive KPIs. Generative AI is already benefiting creative production and optimization. iOS re-engagement remains underleveraged, and most marketers are still adapting to SKAN. Budgets are increasing, with a focus on ad networks and self-attributing networks.
Google Display Ads (GDA) expands inventory across Connected TV, news, sports, and gaming, and integrates with Demand Gen campaigns, lifting conversions 16% on average. Enhanced creative tools include Imagen 3 for image generation, a preview gallery for collaboration, and brand templates. Improved quality standards and protections against invalid traffic ensure better ad placements. These updates help ad ops decision-makers drive reach and performance while maintaining brand control across surfaces.
Preload campaigns are critical for UA in 2025, offering early brand presence, higher trust, and cost-efficient growth. Key benefits include increased visibility, engagement, and LTV. Practitioners should leverage advanced segmentation, automated recommendations, predictive analytics, extended attribution windows, and incrementality testing. Partnerships with OEMs and platforms like Appnext, Aura, AVOW, Digital Turbine, and InMobi can drive significant results, as seen with Magalu's 100k+ monthly installs and 4x ROAS.
Meta is investing in AI models like Andromeda to optimize ad performance. New omnichannel ads drive online and in-store sales, showing 15% lower CPA and 12% higher ROAS. Updates include simplified checkout for Shops ads, ads in Facebook notifications, and generative AI for virtual try-ons and text generation. Advertisers can request emails before promo codes and use site links on Instagram. These tools help capture demand and improve margins.
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