Cosmose AI vs Post Affiliate Pro
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cosmose AI predicts and influences offline retail behavior using AI and mobile data from 1B+ devices; raised $220M+ total at a $500M+ valuation; serves luxury brands including LVMH, Richemont, and L'Oréal;
About
Cosmose AI is a Singapore and New York-based marketing technology and retail analytics company founded in 2014 by Miron Mironiuk that uses artificial intelligence and mobile location data to predict and influence how consumers shop offline. The platform analyzes anonymized behavioral signals from over one billion mobile devices — including app usage patterns, location signals, and purchase intent indicators — to build predictive models of individual consumer offline shopping behavior. Brands use Cosmose AI to identify high-intent shoppers before they visit stores, deliver targeted mobile advertising at the right moment, and measure the impact of online advertising on offline store visits and purchases.
Post Affiliate Pro is a long-established affiliate tracking software from Bratislava, serving 30,000+ businesses with on-premise and hosted affiliate program management since 2004.
About
Post Affiliate Pro is an affiliate tracking and management software company headquartered in Bratislava, Slovakia that has been providing affiliate software since 2004 — making it one of the longest-established dedicated affiliate tracking platforms in the market — and serves over 30,000 businesses globally with both hosted SaaS and self-hosted on-premise deployment options for affiliate program management. The company's longevity reflects a stable, profitable software business built on a comprehensive product that covers the full range of affiliate program management needs without the venture-backed growth strategy that has driven rapid product iteration and pricing volatility among newer competitors. Post Affiliate Pro's 20-year track record and large installed base provide a credibility signal for businesses that prioritize proven reliability over cutting-edge feature development.
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