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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.
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