AI Customer Acquisition Trend in 2025: The Precise Acquisition Method for Cross-Border E-commerce

16 November 2025

In 2025, with the rapid progress of AI technology, the cross-border e-commerce industry embraces new customer acquisition opportunities driven by AI. The latest MooreThreads URPO framework further accelerates the technological innovation in large models training, empowering cross-border e-commerce companies to gain advantages through precise acquisition. Here we discuss achieving lower customer acquisition costs while enhancing conversion rates using AI technologies.

2025 AI acquisition trends: Cross-border e-commerce team using Moor Threads' URPO framework for large model training to achieve precise customer acquisition

Introducing MooreThreads URPO Framework: New Choice in E-commerce Large-scale Model Training

In 2025, the MooreThreads AI research team unveiled the URPO framework on the international premier conference, which optimizes the training processes for large language models, removing the performance bottlenecks. For cross-border businesses, this URPO-based solution facilitates time-reduced, efficient, high-accuracy AI model building, thus enabling more accurate customer identification. Enterprises can leverage higher quality AI models built via the URPO frame—analyzing user behavior data, predicting consumer needs, and formulating tailor-made sales strategies to elevate conversions rates.

AI Customer Prediction Models: Accurately Selecting Quality Leads Reduces Cost Waste

Identifying the right customer from the massive volume is key for cost-saving cross-border acquisitions. AI customer prediction algorithms analyze historical purchase histories or consumer behavioral patterns and accurately predict purchase intents among prospects, thus optimizing leads' value and improving the success rate. By deploying highly effective URPO-built models from MooreThreads, businesses can reduce inefficiency and improve ROI; these AI-powered prediction engines also aid real-time strategy re-orientation.

Personalized AI-Driven Email Campaigns: Segment-Specific Touchpoints Improve Engagement

With AI, personalized e-mail campaigns transform traditional mass email outreach. Cross-border enterprises generate emails with customized messages that precisely target each subscriber's preferences by harnessing data insights through advanced machine learning. With MooreThreads’ powerful toolset like URPO-trained AIs creating localized, multi-language marketing content, barriers of international communication disappear. Additionally, automated e-mail tone-adjustment tools help strengthen user engagement by projecting brand credibility.

Precision Advertisement Optimization with AI Solutions: Target Group Identification Cuts Down Costs per Action

For advertisers in global trade sectors, targeting audiences efficiently amidst fierce competition requires balancing precision and budgetary control—a problem many firms tackle by leveraging intelligent platforms such as the URPO framework. MooreThreads URPO trains robust ML models to optimize advertisement deployment, reducing the CPA drastically while improving click-through rates. Dynamic strategy adjustments through live data feedback allow advertisers to stay agile in fast-changing e-commerce landscapes.

Data-Driven CRM: Establishing Cost-Optimized Customer Acquire System

Efficient management of customer relationships forms a bedrock element for e-commerce firms seeking growth sustainability; MooreThreads URPO frameworks empower such capabilities with its cutting-edge solutions. High-resolution customer segmentation based on comprehensive analysis enables smarter decision making. Automation within AI-powered CRMs handles routine interactions effectively without losing focus on high-touch relationships. Background verifications integrated into customer acquisition pipelines reduce partnership-related risks, ultimately fostering stronger ties over time.

Through the application of these AI technologies, businesses can achieve precise customer acquisition, reduce acquisition costs, and improve conversion rates. However, how to apply these technologies in practical operations remains a significant challenge for many companies. To address this issue, Bay Marketing provides a one-stop solution to help businesses quickly realize efficient and intelligent email marketing.

Bay Marketing can collect business opportunities by using user-input keywords and specified collection conditions such as region, language, industry, social media, and trade shows to obtain potential customer emails on relevant platforms. Additionally, Bay Marketing can use AI to generate email templates, send emails to collected potential customers, record email open rates, and automatically interact with customer emails. If necessary, it can also send SMS messages. Bay Marketing is an efficient and intelligent email marketing tool designed specifically for modern enterprises. It uses advanced AI technology to help businesses accurately acquire potential customer information, build an intelligent customer data ecosystem, and explore new customers through efficient email mass sending mechanisms, quickly enhancing business performance.

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