Purpose: This paper seeks to identify the factors for effective E-market prediction using big data. It also aims to predict the sales performance of the E-marketplaces using those identified factors. Design/Methodology/Approach: This study analyzes the moderation impact of answered questions, review usefulness, product category, and promotional offers on the relationship between online review and sales performance in E-marketplaces. The hypotheses were developed and duly tested using multiple regression analysis. Findings: This paper finds that answered questions, review usefulness, product category, and promotional offers have key roles in analyzing the impact of online reviews on sales performance. Practical Implications: Based on the findings of this study, managers and practitioners can design their marketing strategies efficiently. Originality/Value: Most existing researches consider online reviews and other factors as individual and independent variables. However, this study takes into consideration the interaction between these variables using big data architecture.