We propose a sales prediction model based on the number of new members, online advertising, and consumer reviews for a short period. Considering purchase behaviors of new and existing members, we predict reliable sales amounts, which can be monthly updated. Our study provides digital marketers with a feasible prediction approach.

• Sungha Jang(San Francisco State University, USA)
• Jae-Eun Kim(University of Auckland, New Zealand)
• Jongik Kim(Delivered Korea, South Korea)