# E-loyalty networks in online auctions

**Authors:** Wolfgang Jank, Inbal Yahav  
**arXiv:** [1010.1636](https://arxiv.org/abs/1010.1636)  
**Date:** 2010-10-08  
**Summary page:** https://www.summarizepaper.com/en/paper/1010.1636v1/

## Key points

- Study by Wolfgang Jank and Inbal Yahav on e-loyalty networks in online auctions
- Challenges companies face in building and maintaining customer loyalty in the digital landscape
- Unique dataset of over 30,000 auctions analyzed to explore e-loyalty dynamics
- Novel measure of e-loyalty based on repeat purchases derived from a bipartite network structure
- Use of functional principal component analysis techniques to assess individual seller's perceived loyalty
- Identification of statistical challenges due to high-volume sellers dominating transaction volumes
- Discovery of distinct segments within loyalty networks that require individual understanding

## Summary

In their study "E-loyalty networks in online auctions," Wolfgang Jank and Inbal Yahav delve into the complexities of creating and maintaining customer loyalty in the digital landscape. They highlight the challenges companies face in building a loyal customer base and introduce a unique dataset of over 30,000 auctions from a prominent consumer-to-consumer online auction platform to explore e-loyalty dynamics. Through analyzing the network of transactions between bidders and sellers, they develop a novel measure of e-loyalty based on repeat purchases. This measure is derived from a bipartite network structure that links bidder and seller nodes, indicating the strength of their relationship. Using functional principal component analysis techniques, the authors assess individual seller's perceived loyalty through a loyalty distribution and develop loyalty scores to summarize this distribution succinctly. The study also uncovers statistical challenges due to extreme data clustering caused by high-volume sellers dominating transaction volumes and identifies distinct segments within loyalty networks that require individual understanding. Overall, Jank and Yahav's findings shed light on the complexities of e-loyalty in online auctions and offer valuable insights for companies seeking to enhance customer retention strategies in an increasingly competitive digital landscape.