AppLovinAppLovin

広告クリエイティブはAIによって革新されたのか

Aug 21, 2024·4 min read

Summary

Generative AI is transforming advertising by simplifying creative workflows, from copy generation to animation improvements. Tools like RunwayML reduce manual tasks like masking from hours to minutes, freeing teams for higher-level strategy. Prompt engineering is a new crucial skill; effective prompts optimize AI output without over-simplifying tasks.

Despite AI's efficiencies, human creativity and intelligence remain indispensable. AI cannot replicate nuances like market trends, emotional intelligence, or strategic insights. The SparkLabs team found that while AI aids efficiency, it doesn't guarantee better outcomes; over-reliance may lead to homogenized creatives.

Ethical concerns around originality and attribution require careful human oversight. Ultimately, AI revolutionizes the production process rather than creative itself. Key recommendations: leverage AI for repetitive tasks, invest in prompt engineering skills, combine AI with human strategic input, and adhere to ethical guidelines to preserve uniqueness.

Brands that balance AI tools with human creativity can achieve faster market entry without compromising authenticity.

You Might Also Like

GoogleGoogle

Ads creativity and performance at scale with Google AI

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.

Vidhya Srinivasan·May 21, 2024·5 min readRead article →
MolocoMoloco

Inside Moloco's CARA: the AI that compounds

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.

Tal Shaked·Aug 7, 2026·14 min readRead article →
GoogleGoogle

New features and controls for your AI-powered campaigns

Google Ads uses AI to enhance campaign performance, with new tools like Gemini for Search, image editing across campaigns, brand controls, and better reporting. Key announcements include expanded languages, Demand Gen insights, and campaign-level negative keywords.

Brendon Kraham·Sep 18, 2024·5 min readRead article →
MintegralMintegral

How AI Companion Apps Can Attract Premium Users

AI companion apps are gaining popularity, with the US, Latin America, and Southeast Asia as key markets. To attract premium users, developers should use precise targeting via large-scale data, interactive ads (e.g., character customization), and hybrid monetization (IAP+IAA). Mintegral offers tools like Target ROAS bidding to acquire high-value users efficiently.

Mingyue Zhu·Sep 21, 2024·6 min readRead article →
MetaMeta

Performance Spotlight: How Laura Geller Turned Creative Volume and AI Into a Competitive Edge

Will Frank of Laura Geller describes their Meta ad account as an ecosystem where creative, media, offers, and channels interact. Key insights for ad ops leaders: build a constant creative pipeline to feed AI-driven delivery, test with patience as value optimization took three weeks to show conversions, use AI to automate reporting and pressure-test hypotheses, and focus on system architecture rather than manual targeting. Their multi-touch attribution, MMM, and incrementality testing form a 'suite of truth' to validate performance. The marketer's role is shifting to strategy and AI stewardship.

Aug 13, 2026·4 min readRead article →
MetaMeta

Free Insights, AI Tools, and a Playbook to Help You Grow

Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.

Jul 27, 2026·10 min readRead article →
MolocoMoloco

Democratizing AI for business growth: A conversation with Beth Berger, VP & GM Americas at Moloco

In an interview, Beth Berger highlights mobile apps as key growth drivers, with 88% of mobile time spent in apps and 3x higher conversion rates. She urges marketers to look beyond walled gardens using Moloco's AI to find high-value users on the open internet. She emphasizes maintaining control through partnerships, transparent measurement, and focusing on deeper funnel metrics like in-app purchases. AI enables personalization, but human strategy remains crucial for creative production and holistic user acquisition.

Moloco·Oct 20, 2024·8 min readRead article →
GoogleGoogle

New ways for marketers to reach customers with AI Overviews and Lens

Google is expanding search ads with AI Overviews now live in the US, offering direct ad placements for easier product discovery. Shopping ads in Google Lens will be available by year-end, enabling visual searches.

Shashi Thakur·Oct 3, 2024·5 min readRead article →

More from AppLovin