AppLovin employs advanced AI techniques to automate and enhance advertising campaigns, replacing manual tasks such as targeting, bidding, and learning phases. This enables partners to achieve goals with greater accuracy, speed, and scale while saving time and improving operational efficiency. Key results include Peak Games experiencing substantial ROAS growth, DealDash doubling user acquisition volume, and LINE GAME naming AppLovin their top UA source.
Specific AI-driven enhancements include: 1) Greater automation that accurately determines spend allocation across geos, devices, and apps, eliminating manual optimization; 2) Increased accuracy in targeting to closely meet campaign targets; 3) Improved campaign effectiveness via multiple complementary campaign types for different retention and ROAS curves, as demonstrated by Triwin growing new business 3x; 4) More agile campaigns with reduced learning phases—FunPlus optimized new campaigns in just 5 days; 5) Global expansion through single global campaigns, with Goodroid scaling 3x, half coming from outside US/Japan. These features allow advertisers to execute thousands of real-time optimizations based on down-funnel actions, reducing human error and freeing teams for strategic work. AppLovin is onboarding all existing advertisers to these enhancements and expanding to new verticals.
Marketing attribution identifies which channels drive conversions, helping allocate budgets effectively. It uses models like single-touch (first/last click) or multi-touch (linear, time-decay) to assign credit across customer journeys. Challenges include privacy changes and tracking difficulties, but solutions like MMPs and AI can help optimize campaigns.
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.
TikTok recommends broad targeting for most advertisers, as it outperforms narrow targeting with lower CPA and higher conversion rates. Use Smart Targeting to expand when performance drops. Validate that advanced techniques beat broad targeting.
Subscription apps like Netflix and Spotify charge recurring fees for premium features. They offer predictable revenue, higher user loyalty, and better App Store rankings. Key models include flat-rate, tiered, and per-user pricing. Success requires value-driven pricing, free trials, and transparent practices.
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.
Resonance, defined as attention times engagement, is key for ad effectiveness. Short, creative ads on TikTok achieve high impact early, with 50% effect in 2 seconds and 90% ad recall in 6 seconds.
TikTok is offering new advertisers up to $6,000 in ad credits through a tiered spend incentive ($100/$500/$1500) that includes 1-to-1 expert support at the top tier. However, eligibility is restricted to new SMB self-serve accounts, and credits expire. Alongside the offer, TikTok has rolled out several ad tech innovations—Symphony AI creative suite, Streaming Ads, Agentic Hub, Market Scope, and new MMM data—that provide actionable opportunities for testing and scaling performance. Ad ops teams should review eligibility criteria carefully and consider leveraging these tools to maximize ROI during the promotional window.
Amplify SF 2023 focused on AI advancements in ad tech. AppDiscovery's AI tackles slow learning, expensive testing, and scaling issues. Key advice: set realistic goals, expand geo coverage, remove caps, use open budgets, and try multi-campaign types. AI-driven creatives from SparkLabs boost output and efficiency. Scopely's Monopoly GO! success highlights social features and data-driven UA.
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