In today's increasingly competitive Amazon marketplace, advertising has become a crucial lever for sellers to capture market share. However, most sellers still struggle with challenges such as difficulty in acquiring customers precisely and low advertising return on investment, which severely constrains business growth.
Core Pain Points in Amazon Advertising for Cross-Border Sellers
Most sellers lack precise segmentation of their target audience, finding it difficult to identify high-potential customer groups such as high-value users or recent browsers who haven't purchased. This leads to advertising budgets being wasted on non-target users, resulting in low conversion efficiency and persistently high customer acquisition costs.
Furthermore, under traditional models, sellers have difficulty obtaining granular, user-level and log-level data. They also lack professional analytical tools to conduct in-depth analysis of key dimensions like ad placement, search terms, and conversion paths. Optimization often relies on experiential judgment, making it hard to achieve continuous improvement in advertising performance.
LINGXING ERP: Leveraging Amazon AMC to Unlock a New Path to Precision Customer Acquisition
Addressing the above pain points, LINGXING ERP has taken the lead in integrating with Amazon AMC (Amazon Marketing Cloud). It provides a comprehensive advertising optimization solution from two core dimensions—audience management and data analytics—helping sellers achieve precision customer acquisition and enhanced effectiveness.
Precise Audience Segmentation for Targeted Campaigns and Remarketing Activation
The system supports the creation of custom audience segments, allowing sellers to precisely target core customer groups like high-value users and recent browsers who haven't purchased, thereby avoiding blind advertising spend. For high-intent users who have browsed or added items to cart but not purchased within 30 days, re-marketing strategies with sustained exposure can be employed to re-engage these potential customers and increase conversion likelihood. Additionally, by utilizing the Lookalike audience expansion feature, sellers can find new customers similar to their existing high-value user profiles, thereby expanding their source of precise traffic.
Five Professional Analytical Models Driving Optimization with Granular Data
LINGXING ERP features five built-in AMC analysis models, covering critical dimensions such as ASIN-Ad Placement-Search Term analysis, advertising overlap, conversion paths, conversion times, and search term attribution. Based on user-level and log-level data, the system delivers clear insights, helping sellers accurately pinpoint campaign issues, activate new audiences, and ensure their advertising budget is deployed with precision.
Against the backdrop of intensifying competition in Amazon advertising, LINGXING ERP fundamentally addresses advertising pain points by deeply integrating the audience strategies and data analytics capabilities of Amazon AMC, empowering sellers to achieve precision customer acquisition and sustained growth.
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