The New Era of AI-Based Customer Acquisition in Cross-Border E-commerce: Breakthroughs and Challenges

16 November 2025

AI-based customer acquisition methods are transforming how businesses attract new customers in the dynamic field of cross-border e-commerce. Learn about recent advancements, including precise ad targeting, AI-driven client behavior prediction models, and multi-language AI content creation that lower costs and improve performance across global markets.

A modern office park with a glass-clad building showcasing AI technology applications in cross-border e-commerce, where technicians discuss the latest customer acquisition strategies

Reshaping Customer Acquisition through AI Technologies

The role of AI technology in changing e-commerce customer acquisition models has transcended mere automation tools. According to Tencent's Q3 financial report, AI-driven enterprises have witnessed significant improvement in acquisition efficiency, especially via enhanced ad targeting and real-time strategic adjustments based on user data analytics for optimal customer engagement. Leveraging this AI advantage, merchants can target their audience accurately and achieve low-cost conversion, making it pivotal to the future of global e-commerce customer capture and retention.

Customize Ads with AI-Powered Ad Optimization

AI-enabled advertising optimization helps businesses precisely reach specific audiences and improve overall marketing efficiency. By analyzing user preferences and behaviors extensively, AI systems create individualized advertising experiences. For instance, Tencent's CodeBuddy is an effective example of integrating deep user analysis and improving productivity among engineers by 90%. Likewise, companies can use AI models in similar ways for advertising, determining optimal engagement windows to further reduce budget requirements without diminishing returns and boost customer click-through rates (CTR) significantly through timely adjustments.

Reduction in Unproductive Expenditure Through AI Prediction Models

AI-based client forecasting tools aid in efficiently filtering out quality leads from noise and minimize resource wastage while acquiring cross-border e-customers. Historical datasets guide these models’ insights, which then evaluate possible customer conversion potentials to maximize return on investment (ROI). With the help of Tencent's Q3 figures, we know these predictive capabilities contribute to game users’ involvement, ad optimization performance, risk identification, etc., ensuring businesses spend strategically on the best opportunities in limited funds with high efficiency—enhancing client relations systematically and financially throughout all stages.

Multi-Language Content Generation Breaking Global Barriers

One primary roadblock in reaching diverse global consumers is the language barrier. The emergence of multilingual content-generating solutions powered by AI addresses challenges for cross-border enterprises, offering tailored, cost-reducing content in multiple tongues simultaneously. Using advanced AI platforms—such as Tencent’s industry-leading multimodal foundation model for image processing and beyond —these businesses ensure accurate translations across regions effortlessly while boosting the appeal of digital campaigns. Multi-language AI also improves the adaptability of content across different linguistic and cultural zones, expanding outreach effectively.

AI-Augmented CRM Systems: Personalizing Customer Experiences

Smart customer relationship management systems driven by AI enhance interactions significantly in the acquisition and retention space. Powered by intelligent models and advanced data processing abilities, CRM ensures that companies can maintain organized customer profiles. These tools offer real-time, individualized interactions and predict future consumer behaviors to anticipate customer expectations dynamically, thereby providing relevant services and personalized marketing content to keep customer relationships thriving. Thanks to such comprehensive tools as found in the integrated framework within the mixed modal large model used by Tencent, cross-border e-commerce firms achieve a competitive edge that keeps pace and expands business sustainability in a highly active market.

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