A popular puzzle game publisher faced the challenge of acquiring profitable users while maintaining ROAS, given its revenue split of 70% IAA and 30% IAP. To diversify revenue and attract high-value users (including IAP converters), the publisher partnered with AppDiscovery, leveraging its advanced AI to implement a multi-campaign strategy. The AI's rapid learning allowed campaigns to achieve goals within days, enabling the publisher to run complementary campaigns that captured users with different retention and ROAS profiles.
The publisher expanded from tier-1 countries to 15+ new markets globally through a single campaign, avoiding the complexity of managing multiple segmented campaigns. Additionally, SparkLabs created and localized playable ads, improving conversion rates through customized ad experiences. As a result, the publisher scaled campaign spend from $30k to $350k monthly, minimizing waste and delivering strong ROAS quickly.
The case highlights how AI-driven UA, multi-campaign tactics, localization, and creative support can accelerate app growth while balancing monetization.
Generative AI boosts creative success rates by 118% and saves 1,600 hours by automating tasks. Key to adoption: embrace change, share knowledge, and focus on workflow improvements. SparkLabs increased AI usage 170% in 2023, proving AI's potential for high-impact ads and resource efficiency. Overcome plateaus with open communication, AI task forces, and continuous learning.
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.
AI integration in ad creative workflows boosts efficiency and expands creative possibilities, akin to the shift from paper to digital. SparkLabs tripled AI use for concepting and production. Cross-genre mechanics and CTV ads offer new engagement avenues. Fostering an adaptable team culture is crucial for leveraging AI effectively.
Generative AI transforms mobile ad creative production by enabling rapid ideation, image generation, localization, UGC enhancement, and 3D elements. It acts as a collaborative partner to scale and test creatives efficiently while maintaining brand compliance.
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.
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.
Mobile market rebounded in 2023 with record $171B consumer spend. Apps drove growth at 11% YoY to $64B. Generative AI exploded 7x. Travel apps surged 13%. Mobile ad spend reached $362B.
Meta AI introduces new features to help small businesses optimize ad campaigns and content. It integrates with Instagram/Facebook analytics, Meta Ads, and Google Workspace to provide insights, audit and benchmark campaigns, and auto-generate reports and decks. Available across web, mobile, desktop, and Mac apps, it includes screen sharing and dictation. Ad ops teams can leverage AI-driven recommendations for organic and paid content, recurring tasks, and competitive benchmarking, streamlining decision-making and growth.
The blog highlights the strategic rationale for a TikTok merger, emphasizing the performance advertising gap where TikTo...
The article examines how identifiers like those from Google and Facebook flow across e-commerce sites via standard integ...
AppLovin explains its AI-driven advertising platform, Axon 2, which has quadrupled ad spend to a ~$10B run rate. The eng...
AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlig...
User acquisition on a budget is achievable through a mix of organic and low-cost paid strategies. Key tactics include op...
Performance issues like crashes and slow load times directly reduce user retention and LTV. With 60% of users uninstalli...