A high-tech skyscraper in a futuristic city showcases the latest AI customer acquisition technologies, such as the CherryIN platform, self-driving cars, and drone delivery systems.

AI is emerging as a crucial growth driver in fast-changing cross-border markets. By adopting 2025's trends and tools like the newly-released CherryIN platform from Cherry Studio, e-commerce firms can minimize ad spend and achieve higher engagement. This piece outlines how AI enhances customer targeting, ad placements, email marketing, and more.

In a modern office in a futuristic city, young entrepreneurs use AI customer prediction models for precise customer acquisition.

With advancements in artificial intelligence technologies, AI-driven acquisition has become critical to improving a business’s efficiency. This new strategy enables more precise identification of potential clients, helping to save significant resources otherwise spent on less profitable pursuits and enhancing overall profitability.

Scene of AI-powered e-commerce independent site operations in a futuristic city

By utilizing artificial intelligence (AI) technologies in cross-border e-commerce independently, businesses can generate content automatically and optimize keywords to increase site visibility, attracting global audiences for enhanced market expansion.

A cross-border e-commerce company in a futuristic city uses AI technology to optimize customer acquisition processes, showcasing the application scenarios of vivo's edge-side AI

本文探讨了2025年AI获客的最新趋势及其在跨境电商中的应用,特别关注如何利用智能技术突破业务增长瓶颈。通过分析vivo在智能手机领域的AI进展,我们将探讨端侧AI如何提升用户体验,并为跨境电商提供新的增长机会。

An engineer using an AI agent to optimize ad placements, showcasing the working principle of Google's self-evolving agent

This article delves into the latest applications of AI in ad placements, particularly how Google's "self-evolution" technology transforms strategy by accurately engaging audiences for lower CPAs.

Data scientists discussing AI customer prediction models and xAI's "World Model" technology in a modern office.

In the fiercely competitive market environment, businesses seek ways to improve both the quality and efficiency of client attraction. This piece discusses AI-powered solutions with a focus on precisely filtering premium clients using AI customer prediction models, lowering inefficient market investments, while improving conversion rates and returns.

High-tech company in a futuristic city showcasing AI customer prediction model and its applications

As AI continues to develop, businesses need to embrace its power for customer screening and precise marketing efforts. Discover 2025’s cutting-edge AI models in cross-border commerce, explore their efficiency in acquiring qualified customers, and examine successful instances proving their potential.

Futuristic cityscape depicting AI customer acquisition trends in cross-border e-commerce with DeepSeek for precise prediction and cost optimization

The continuous evolution of AI is revolutionizing cross-border e-commerce, notably in lead generation techniques where advanced tools, including DeepSeek, are empowering businesses to predict client needs precisely, enhance conversion efficiency, and optimize spendings for maximum ROI.

An example of AI customer prediction model in cross-border e-commerce, showcasing how it accurately filters high-quality customers, reduces wasted investment, and improves conversion rates.

Utilizing cutting-edge AI technologies like prediction modeling can revolutionize how businesses approach target audience identification for acquiring more clients efficiently and saving budget. Explore why this is essential for today's dynamic cross-border marketplace.

A scene in a futuristic city showcasing AI-optimized email marketing and vivo's edge AI technology

The rapid advancement of AI technologies brings new trends for e-commerce growth in the global market, specifically with AI-assisted customer acquisition via targeted email marketing strategies. This guide dives into leveraging edge-AI capabilities like those introduced by vivo in its recent development summit to increase customer reach and loyalty across borders.

Data scientists analyzing AI customer prediction models in a modern office with a bustling cityscape in the background.

AI-driven client prediction models enable enterprises to enhance conversion while reducing wasted resource investment. By utilizing advanced machine learning techniques, these models help businesses focus marketing efforts where they’re likely to have maximum effect. Learn how such strategies have benefited industry leaders like Apple, as they incorporate innovative computer vision into new frontiers in automated marketing and sales optimization within smart home ecosystems.