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flag Australian brands lag in AI personalization due to fragmented data, but CDPs and clean data help early adopters succeed amid rising AI-driven shopping.

flag Australian and global brands face hurdles in scaling AI for personalization due to fragmented customer data, limited expertise, and underinvestment in data unification. flag Only 8% of Australian brands use AI for optimization, and 5% for personalization, hampered by incomplete customer views and poor identity resolution. flag Despite growing interest, 82% of retail leaders say they’re only beginning to activate data effectively. flag 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. flag Early adopters like New Look have seen success by resolving duplicate profiles. flag 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. flag However, outdated systems struggle to deliver the structured, real-time data AI agents need, risking reduced visibility. flag 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.

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