This document is an operational guide for cross-border FMCG independent sites, mainly introducing relevant content from six aspects.
First is an overview of independent sites, explaining that a cross-border FMCG independent site is an e-commerce platform built by the seller themselves. Unlike third-party platforms such as Amazon, sellers have full control over operations. It also lists its advantages in brand building, independent pricing, user data accumulation, etc., as well as development trends such as branding, personalization, and localization.
Next is independent site building, which includes clarifying the goal of building the site according to the business model and target audience; choosing the appropriate site-building method, such as SaaS site-building suitable for beginners, or self-development which is more costly but highly personalized; also selecting a good domain name and server, doing a good job in website design and layout, and conducting pre-launch testing.
Product selection strategy is also a key point, explaining the importance of product selection for sales performance, user satisfaction, and brand image. It introduces product selection methods such as data trend analysis and best-selling ranking selection, as well as ideas for differentiated product selection. It also reminds to avoid being stubborn or over-selecting during product selection.
In the independent site promotion section, it emphasizes that promotion can increase exposure and conversion rates. It introduces promotion channels such as social media marketing, search engine optimization, and email marketing, as well as practices related to content marketing and paid advertising, and the benefits of building communities and customer relationships.
In terms of customer service and after-sales support, it explains its importance in improving customer satisfaction, reducing return and exchange rates, and establishing brand image. It introduces service channels such as online customer service and social media customer service, as well as the application of tools such as AI customer service and CRM systems, and after-sales support strategies such as return and exchange policies, customer feedback mechanisms, and personalized customer service practices.
Finally, continuous optimization and data analysis are discussed, explaining that continuous optimization can improve user experience, enhance competitiveness, and adapt to market changes. It introduces the application of data analysis in monitoring user behavior, optimizing products and operational strategies, and methods for adjusting product selection, promotion, and customer service strategies based on data.
