Наши инструменты отслеживают миллионы рекламных объявлений TikTok более чем в 55 странах. Крупнейшая библиотека TikTok-рекламы для E-commerce и мобильных приложений!
This article explores how Google’s new AI-powered shopping ecosystem — including Universal Cart, AI-generated product explainers, and integrated checkout — is transforming Google from a search engine into a fully closed-loop commerce platform. It explains why this creates rising acquisition costs and shrinking control for advertisers while simultaneously opening a major opportunity in the “pre-intent” layer that Google cannot fully own. The article also highlights how channels like native advertising, push notifications, and content-driven discovery — supported by tools like Anstrex — allow marketers to shape consumer preferences before shoppers ever enter Google’s AI-driven commerce funnel.
This article explores how major brands have adopted the native advertising and advertorial-style tactics originally pioneered by affiliate and performance marketers. It explains how enterprise advertisers entering native ad ecosystems have increased competition, raised creative standards, and driven up acquisition costs across platforms once dominated by smaller media buyers. The article also highlights how affiliates can regain their edge by studying big-brand movements as strategic signals and using tools like Anstrex to uncover profitable creative patterns, competitive opportunities, and emerging market shifts before they become saturated.
This article explores how major brands like E.l.f. and Unilever are engineering high-converting advertising experiences by sequencing surprise, social proof, and urgency into tightly structured creative systems. It explains how affiliates running push notifications and pop ads can adapt the same psychological frameworks without needing enterprise-level budgets by applying the sequence correctly within each format’s constraints. The article also highlights how tools like Anstrex help affiliates uncover proven creative angles, analyze long-running push and pop campaigns, and build intelligence-driven campaigns based on market-validated persuasion patterns rather than guesswork.
This article explores how the explosion of AI-generated ad creatives across every major advertising platform has made traditional evaluation signals like impression counts and creative volume increasingly unreliable. It explains why marketers must shift from surface-level vanity metrics to deeper competitive intelligence signals — such as sustained spend patterns, geographic rollout behavior, landing page investment, and iterative creative refinement — to identify which AI-generated ads are actually converting. The article also highlights how tools like Anstrex help advertisers separate profitable performance-driven campaigns from mass-produced AI filler by uncovering the behavioral patterns behind real market winners.
