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Build winning native advertising campaigns today by spying on your competition & get more for your advertising spend.
DiscoverSpy on top converting TikTok ad campaigns by browsing our FREE TikTok Ads Library
DiscoverDominate push notification advertising by spying on most profitable advertisers and marketers.
DiscoverLearn how to succeed at massively scalable pop advertising from closely guarded secrets of other massively successful advertisers
DiscoverFind the hottest selling dropship products and manage your store from one single platform.
DiscoverMarketers of all kinds use Anstrex to uncover the secrets of world-class advertisers. Reach out to us with your unique challenge and see if we can help.
Performance Marketers / Affiliates
Affiliates worldwide use native advertising to generate massive traffic and sales. Anstrex will teach you their secrets.
Direct Sales Marketers
Boost your revenue by using techniques perfected by top B2B and B2C direct sales marketers.
Brand Advertisers
Learn how big brands from Dell to Dunkin Donut embrace native advertising.
Content Creators
Build the perfect ad arbitrage and get unlimited ideas for new content.
See how Anstrex integrates with other useful platforms to improve your productivity.
Fully automate your shopify store management using our shopify app and chrome browser extension.
Automate ordering process and store management using our woo commerce plugin and chrome browser extension.
Easily import AliExpress products into your store using our chrome browser extension.
Directly export your landing pages to AWS S3 buckets using our landing page ripper and deployer.
Import your landing pages directly on to Digital Ocean instances from our tool.
Find out what we are up to...
A 20-year-old reseller making £20k a month on TikTok and a $100M+ CPG marketing machine represent two very different approaches to media: channel discovery versus channel loyalty. This article argues that the reseller's advantage isn't bigger budgets or better creative, but the ability to constantly test where attention is undervalued, move money quickly, and abandon channels when the economics change. It shows how enterprise marketers can adopt the same mindset through competitive ad intelligence, small explicit channel bets, and a rapid spy → test → decide loop.
AI-generated ad copy has made traditional competitor research increasingly unreliable because a single observed ad may be only one temporary permutation from a much larger creative system. This article explains why advertisers should move beyond snapshots and focus on patterns, recurrence, and longevity—tracking which messages, offers, landing-page structures, and creative angles survive over time. It then presents a three-layer AI-era competitive intelligence system: automated monitoring, pattern extraction, and human strategic interpretation.
AI referrals are exposing an old conversion problem: visitors arrive with highly specific intent but are often sent to generic homepages or poorly matched pages. This article explains why native advertisers solved this problem years ago through pre-sell pages, advertorials, intent-matched landing pages, and continuous competitive intelligence. It then expands the challenge into a triple-audience model—traditional search visitors, AI-informed human visitors, and autonomous AI agents—and explains why marketers need landing-page experiences that combine human persuasion with machine-readable structure.
AI visibility is becoming a major focus for SEO teams, but visibility scores, citation counts, and AI mentions can be difficult to connect directly to revenue. This article contrasts that uncertain measurement environment with performance marketing's more observable signals: competitor ad spend, creative longevity, landing pages, offers, and conversion-focused intent. It presents a practical five-step framework for using competitive ad intelligence alongside AI search data to prioritize high-intent opportunities, improve content strategy, and build a measurable full-funnel feedback loop.
AI advertising is creating a new competitive intelligence gap: while marketers can easily monitor ads across traditional platforms, ChatGPT ads and AI-served Google placements are far harder to observe and attribute. This article explains how advertisers can close that gap by monitoring the limited signals available in AI environments—such as ad copy, destination URLs, and prompt-level visibility—and using native, push, display, and landing-page intelligence as cross-channel proxies. It also explores how attribution uncertainty can reward early movers who build their own AI advertising intelligence systems before standardized measurement catches up.
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