AI-Powered Precise Customer Acquisition: New Trends in Cross-Border E-commerce in 2025
By leveraging AI in 2025, the field of cross-border commerce achieves innovative leaps through smarter methods in acquiring new customers. This summary examines these developments, focusing on precise targeting through advertising optimization, thereby cutting costs while improving customer acquisition efficiency. Highlighted examples include achievements using ByteDance’s Touba Big Model.

Shifting Paradigms in Cross-Border E-commerce Acquisitions
AI has evolved to become an essential factor driving cross-border e-commerce success. With traditional acquisition models often inefficient and expensive, modern approaches using AI deliver tailored solutions by analyzing data. The Touba Model’s processing volume at 50 trillion tokens per day helps tailor advertising delivery based on individual profiles, increasing overall effectiveness. Additionally, it dynamically adapts strategies for improved return on investment (ROI).
Reducing Ad Costs Through AI Advertising Optimization
Using AI techniques significantly reduces the customer acquisition costs (CAOs) in cross-border commerce by focusing solely on target demographics through highly sophisticated algorithms such as the Touba Model. These improvements lead businesses worldwide to cut ineffective spending, improving engagement. In one example, when a platform utilized this technology for their marketing campaign, click-through rates soared up by 30%, saving them 20% on costs. Such optimizations provide clear ROI benefits for businesses aiming to maximize spending power.
The Role of Data Fusion for Creating Detailed User Profiles
Data integration combined with AI facilitates the production of highly detailed customer personas. These are developed with actionable intelligence derived from analyzing browsing habits or preferences across different audiences, creating personalized strategies for product suggestions. Through extensive modeling and training using large volumes of data points, the Touba Model creates hyper-targeting tools offering deeper audience insights—resulting, for instance, in higher shopping conversion gains at rates reaching 25%.
Language Diverse Content Generation Aided by AI for Cross-Continental Markets
Multilanguage text generation tools empowered through AI eliminate barriers caused by linguistic disparities. For example, ByteDance’s multilingual generator helped an international e-commerce retailer craft content across twenty distinct languages automatically. The emails generated reached more people worldwide while boosting open rates by 30%, enhancing consumer participation while also widening the seller’s global reach.
Streamlining Client Profiling with Machine Learning Technologies
Client profiling via AI allows organizations to minimize risks involved in cooperation by thoroughly scrutinizing each client before any formal engagement occurs. By accessing financial ratings along with prior trade transactions, AI-driven platforms ensure robust decisions. A case study highlighted success for an international commerce brand employing this method—it identified a quality client list and exceeded its contractual revenue expectations by 150%. Enhanced accuracy here supports businesses to focus on long-term growth prospects while reducing potential losses.
While exploring the application of AI technology in cross-border e-commerce, it is also important to consider how businesses can more effectively acquire potential customers and improve conversion rates through precise email marketing. Bay Marketing is a highly efficient and intelligent email marketing tool designed for modern enterprises. It leverages advanced AI technology to help businesses accurately acquire potential customer information, build an intelligent customer data ecosystem, and initiate new customer exploration through efficient bulk email sending mechanisms, thereby rapidly boosting business performance.
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