In 2023, advertising expenditure on weight-loss drugs by pharmaceutical giants Novo Nordisk and Eli Lilly experienced a remarkable 250% year-over-year increase in the United States, with Eli Lilly leading the surge. However, both companies have since reduced their ad spending due to intensifying supply chain issues leading to drug shortages and rising costs. Notably, Eli Lilly's new direct-to-consumer website, launched in February 2024 for ordering drugs like Zepbound, surpassed major pharmacy websites in average time spent.
Between mid-December 2023 and mid-March 2024, individuals targeted by Eli Lilly's ads saw a 350% increase in pharma ad impressions, with GlaxoSmithKline leading the increase. Eli Lilly is notably more active in targeting the Hispanic community, with about 33% of Mounjaro ads in Spanish, making up 12% of ad impressions, double Novo's share for Ozempic and Wegovy. This Spanish-language strategy focuses on diabetes management rather than weight loss.
Novo's ad impressions from weight-loss-themed ads peaked at over 500 million in Q4 2023, coinciding with Zepbound's launch. Variations in Novo's ad budget may explain over 60% of stock price movements, though the effect is non-linear, and other factors like product efficacy findings also influence stock performance.
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.
Mobile in-game advertising balances revenue and player experience using formats like banners, interstitials, playables, videos, rewarded, and native ads. Each format varies in cost, engagement, and ROI across platforms, with no single best option—success depends on goals, budget, and platform-specific performance.
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.
Data connections link brand marketing data with TikTok Ads Manager, enabling improved measurement, advanced solutions like Catalog Ads, and custom audiences. Sharing onsite and offsite events through TikTok Events API or Pixel allows better ad delivery and performance. For e-commerce success, set up signals with required events and parameters, sync your product catalog, and confirm event-catalog match rate.
Analysis of 2022 World Cup mobile data reveals that the tournament's largest engagement window occurs early, with sports entertainment installs spiking 189% and sports news 204% on November 22. Engagement revolves around national team matches, with significant spikes from non-participating markets like China (+1,294% sports entertainment installs). For 2026, brands must adapt in real-time to shifting attention across matches and regions. Adjust's AI-powered attribution and analytics provide the visibility needed to capitalize on these global events.
A new AppsFlyer report in collaboration with TikTok reveals that 2% of creative variations drive 68% of ad budgets, emphasizing the need for scaling creative iteration with AI to combat ad fatigue and boost ROAS.
Google's 2023 Ads Safety Report highlights generative AI's impact on ad enforcement, blocking 5.5B ads and suspending 12.7M accounts. LLMs improve policy enforcement against scams. New measures include Limited Ads Serving and synthetic content disclosures.
Adjust introduces 'Agentic Growth Management' at MAU Vegas 2026, a goal-driven AI system that automates the campaign optimization loop. Instead of manual intervention, it sets a business objective (e.g., increase ROAS), analyzes performance, generates actionable recommendations (e.g., budget reallocation, creative refresh), and executes with marketer oversight. The system tracks impact and iterates, allowing teams to shift from execution to supervision. This approach aims to reduce operational burden while accelerating progress toward revenue targets, with automation scaling as AI confidence grows.
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