Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7375253 | Physica A: Statistical Mechanics and its Applications | 2018 | 16 Pages |
Abstract
Hundreds of thousands of individual deals and comments are analyzed to ask: what kinds of patterns appear in their repurchase process? Our results suggest that, in the empirical description, the intervals between two consecutive purchases obey a power-law distribution. Notwithstanding a wide range of individual preferences, shoppers' repurchase behaviors show some similar patterns, called long-scale quiet and short-scale emergence, and the alternating appearance of them form an endless chain in repurchase. In agreement with the empirical results, these short-scale and long-scale patterns suggest an adaptive model with alterable exponents complying with a power-law distribution. And it also implies that each user behaves his own intrinsic pattern such as unique repurchase intensity and silence-emergence cycle, which contributes to customer life-time value from the new view of dynamics and repurchase cycles.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Tian Yang, Xin Feng, Ye Wu, Shengfeng Wang, Jinghua Xiao,