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Australian brands lag in AI personalization due to fragmented data, but CDPs and clean data help early adopters succeed amid rising AI-driven shopping.
Australian and global brands face hurdles in scaling AI for personalization due to fragmented customer data, limited expertise, and underinvestment in data unification.
Only 8% of Australian brands use AI for optimization, and 5% for personalization, hampered by incomplete customer views and poor identity resolution.
Despite growing interest, 82% of retail leaders say they’re only beginning to activate data effectively.
Customer Data Platforms (CDPs) help by creating unified, real-time profiles, with users twice as likely to understand customers and three times more likely to deploy AI in customer-facing roles.
Early adopters like New Look have seen success by resolving duplicate profiles.
Meanwhile, shoppers increasingly use AI tools like ChatGPT and Google’s AI Overviews to discover products, driving a 3,300% surge in AI-generated traffic during Prime Day 2025.
However, outdated systems struggle to deliver the structured, real-time data AI agents need, risking reduced visibility.
Brands that prioritize clean, machine-readable catalogs and test conversational commerce are better positioned as AI reshapes e-commerce, now nearing $1.5 trillion in value.
Las marcas australianas están rezagadas en la personalización de IA debido a los datos fragmentados, pero los CDP y los datos limpios ayudan a los primeros usuarios a tener éxito en medio del aumento de las compras impulsadas por la IA.