Online Platform Customer Shopping Repurchase Behavior Analysis

With the rapid development of world economy and progress modern science technology, e-commerce has gradually spread to public. For online shopping platform, number stores increased rapidly, especially so in recent years. Mastering rules customers’ behavior will help stand out amidst such a fiercely competitive environment. Taking cosmetics industry as an example, this paper studies purchase platform customers. Through analysis order data, it is found that repurchase times corresponding people conform law power-law distribution. On basis, customer attributes are analyzed demonstrated, influences different factors, region, postage, usage clients, on rate relationship between orders days revealed. The results can provide better sustainable operation decision support for operators improve overall benefits stores.