LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce
Abstract
Livestream e-commerce integrates live streaming and online shopping, allowing viewers to make purchases while watching. However, effective marketing strategies remain a challenge due to limited empirical research and subjective biases from the absence of quantitative data. Current tools fail to capture the interdependence between live performances and feedback. This study identified computational features, formulated design requirements, and developed LiveRetro, an interactive visual analytics system. It enables comprehensive retrospective analysis of livestream e-commerce for streamers, viewers, and merchandise. LiveRetro employs enhanced visualization and time-series forecasting models to align performance features and feedback, identifying influences at channel, merchandise, feature, and segment levels. Through case studies and expert interviews, the system provides deep insights into the relationship between live performance and streaming statistics, enabling efficient strategic analysis from multiple perspectives.
Keywords
Cite
@article{arxiv.2307.12213,
title = {LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce},
author = {Yuchen Wu and Yuansong Xu and Shenghan Gao and Xingbo Wang and Wenkai Song and Zhiheng Nie and Xiaomeng Fan and Quan Li},
journal= {arXiv preprint arXiv:2307.12213},
year = {2023}
}
Comments
Accepted by IEEE VIS 2023