Huge segmented data supports product selection confidence, real-time monitoring of competitors' dynamics and dimensional operation capabilities. Oulu Big Data, relying on a powerful information base of more than 15 million, is jointly provided by artificial intelligence experts and algorithm engineers to provide cross-border enterprises with personalized, customized Amazon product selection and operation experience; improve sellers' operating efficiency and continuously achieve sales growth breakthroughs. Product selection operation tool website https://www.oalur.com/ Official WeChat oalur_1Brand IntroductionOulu is a professional data analysis tool created for China's cross-border e-commerce. It is dedicated to the ultimate exploration of data and sees through the consumer gaps and business opportunities under Amazon's 5 million products on sale. Since its launch, it has not only achieved full coverage of cross-border e-commerce product selection and operation needs, but also achieved global top-level standards in each function. In this rapidly developing industry, it provides users with the opportunity to race against time and get ahead. Introduction to Oulu Big Data ServiceHow can new sellers avoid the red ocean competition: 1. Overview of Amazon's 27 major categories, 21+ screening conditions, and quickly discover blue ocean subcategories; 2. Conduct a competition analysis on the selected category to check what conditions are required to enter the top 100 in the category, whether it is monopolized by Amazon brands or Amazon’s own operations, and seek benefits and avoid disadvantages; 3. After determining the category, use the basic information of the category to gain insight into industry development and peak and off-season trends, and roughly assess the future development of the category. How can new sellers transform into cross-border veterans? 1. Conduct a comprehensive analysis of product categories, determine the most popular price range for products, and set reasonable product prices to ensure profits; 2. Perform real-time feature analysis on selected products, quickly gain insights into the rules of the selected product set, and differentiate them; 3. Determine the best-selling variants (styles) of the product through variant comparison and clarify the stocking ratio; 4. Use traffic keywords to accurately locate products, analyze opportunity indexes and make selections to avoid red ocean competition; 5. Check the hot-selling products in a certain period of history and prepare product selection in advance before the peak season. How to quickly deploy investment-stage products: 1. Determine your delivery cycle and inventory quantity based on the development trend of the category and the trend of the off-season and peak-season; 2. Check the BSR life cycle and sales trends of competitors’ small hits to determine the operating methods for the corresponding period. How fast-growing products establish competitive advantages: 1. Conduct correlation analysis on products, study the relationship between price and BSR ranking, and find out the approximate correlation; 2. Check product keywords and adjust your keyword settings and advertising bidding. Mature and stable products are experiencing explosive growth again: 1. View all historical operations of competitors in the panoramic dynamics, quickly identify the real reasons for sales, and improve operational methods 2. Dynamically compare the operations of your own products with those of multiple popular competing products, analyze different operational actions in the same time period, check the differences in results between yourself and your competitors due to different operational strategies, and adjust your competitive posture in a timely manner. price: Professional data analysis tools provided by industry leaders, free for seven days There is also a 10% discount for the first month. References |
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