ECommVis: Supporting E-Commerce Marketplace Advertising Outcomes Through a Visual Analytics System
Abstract
E-commerce marketplace platforms rely increasingly on digital advertising to drive merchant sales, yet existing analytics tools often fail to provide contextual insights that connect advertising performance with actionable business strategies. This paper introduces ECommVis, a visual analytics platform designed to address the gap between complex advertising metrics and merchant decision-making in e-commerce marketplaces. ECommVis integrates five complementary visualization components that provide temporal, spatial, and comparative perspectives on advertising performance: Orders Over Time (OS) tracks historical organic versus ad-driven sales through adjustable time frames; Geospatial Interactions (GS) visualizes spatial performance patterns using hexagonal grid mapping; Merchant Metrics (MC) displays advertising KPIs via interactive stacked charts correlating budget with engagement; Interactions by Weekday and Shift (HM) identifies optimal advertising windows across daily shifts and weekday patterns; and Time Period Comparison (TP) benchmarks campaigns across time frames using correlation, trend, and search term analyses. We demonstrate the usefulness and effectiveness of ECommVis through two usage scenarios and a user study with 11 participants.
Fields of Study & Subjects
Data Visualization and Analytics
Big Data and Business Intelligence
Recommender Systems and Techniques
Publication details
- Journal / source
- IEEE Open Journal of the Computer Society
- Volume
- 7
- Pages
- 455–467
- Publication date
- 1 January 2026
- Language
- EN