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Vipshop: History & Companies

Vipshop (Chinese: 唯品会; pinyin: Wei Pin Hui) is a Chinese company that operates the e-commerce website VIP.com (formerly Vipshop.com) specializing in online discount sales. Vipshop is based out of Guangzhou, Guangdong, China, and was listed on New York Stock Exchange (NYSE) on March 23, 2012.

Language: English [EN]
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Vipshop topic overview

The analysis highlights History and Companies as prominent areas in the source structure around Vipshop.

Related topics
15
Source areas
4
Connected nodes
19
Extracted relationships
27
Related term clusters
13
Bridge connections
19

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 11 topics
Sales model · 2 topics
History · 1 topics
Metrics · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
December 2008; 17 years ago (2008-12)
Founders
Eric Ya Shen, Arthur Xiaobo Hong
Industry
E-commerce
Owner
Vipshop Holdings Ltd
Headquarters
Guangzhou
Area served
Mainland China

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Vipshop
6Simplified Chinese characters · Pinyin · E-commerce in China
3Tmall · JD.com · China
6Fortune magazine · Deloitte · Domain name

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Sales model

Metrics

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Vipshop connects Entity context

The extracted context around Vipshop shows recurring relationship patterns in the source. For example, Vipshop → Announced, Began, Chinese, Completed, December, Hua, Launched INTERNET, Launched VIP International2015, Listed, New York Stock Exchange, November, Transferred, US, VC, VIP, VIPS, Wei, Wei Pin Hua Another extracted example is Vipshop → Mainland China. Use these groups to spot repeated connection types before inspecting the individual relationships.

Vipshop

Top relations

related to history · 18
Vipshop → Announced, Began, Chinese, Completed, December, Hua, Launched INTERNET, Launched VIP International2015, Listed, New York Stock Exchange, November, Transferred, US, VC, VIP, VIPS, Wei, Wei Pin Hua
Area served · 1
Vipshop → Mainland China
Founded · 1
Vipshop → December 2008; 17 years ago (2008-12)
Founders · 1
Vipshop → Eric Ya Shen, Arthur Xiaobo Hong
Headquarters · 1
Vipshop → Guangzhou
Industry · 1
Vipshop → E-commerce
Owner · 1
Vipshop → Vipshop Holdings Ltd
Traded as · 1
Vipshop → NYSE: VIPS
Type · 1
Vipshop → Public
Website · 1
Vipshop → www.vip.com

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

vip com china e-commerce 2017 online million ranked top chinese sales new 2016 according listed retailer tmall b2c guangzhou revenue

Vipshop relationships Subject–Predicate–Object triples

TTTA extracted 27 structured relationships around Vipshop. Examples in this analysis include Vipshop → Area served → Mainland China and Vipshop → Founded → December 2008; 17 years ago (2008-12). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
VipshopArea servedMainland China1.00infobox
VipshopFoundedDecember 2008; 17 years ago (2008-12)1.00infobox
VipshopFoundersEric Ya Shen, Arthur Xiaobo Hong1.00infobox
VipshopHeadquartersGuangzhou1.00infobox
VipshopIndustryE-commerce1.00infobox
VipshopOwnerVipshop Holdings Ltd1.00infobox
VipshopTraded asNYSE: VIPS1.00infobox
VipshopTypePublic1.00infobox
VipshopWebsitewww.vip.com1.00infobox
Vipshoprelated to historyDecember0.60section
Vipshoprelated to historyCompleted0.60section
Vipshoprelated to historyVC0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Vipshop bring nearby vocabulary together. In this analysis, examples include Exchange, Guangzhou and Nyse. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Vipshop
    • Exchange
    • Guangzhou
    • Nyse
    • Pin
    • Stock
    • Website
    • Wei
    • York
    • Discount
    • Listed
    • March
    • Sales
  • vipshop
    • Exchange
    • Guangzhou
    • Nyse
    • Pin
    • Stock
    • Website
    • Wei
    • York
    • Discount
    • Listed
    • March
    • Sales
  • chinese
    • Pin
    • Pinyin
    • Website
    • Wei
    • Discount
    • Sales
    • Vipshop
    • E-commerce
    • Online
    • Exchange
    • Guangzhou
    • Nyse
  • pinyin
    • Pin
    • Website
    • Wei
    • Discount
    • Sales
    • Vipshop
    • E-commerce
    • Online
    • Exchange
    • Guangzhou
    • Nyse
    • Stock
  • e-commerce
    • Tmall
    • China
    • Pin
    • Pinyin
    • Website
    • Wei
    • B2c
    • Discount
    • Largest
    • Sales
    • Us
    • Com
  • new york stock exchange
    • Exchange
    • Guangzhou
    • Nyse
    • Stock
    • York
    • Listed
    • March
    • Expense
    • New
    • Vipshop
    • Sales
    • Pin
  • jd.com
    • Vip
    • China
    • E-commerce
    • Online
    • According
    • Ranked
    • B2c
    • Billion
    • Discount
    • Largest
    • Market
    • Retailer
  • china
    • According
    • E-commerce
    • Online
    • Com
    • B2c
    • Largest
    • Tmall
    • Vip
    • Exchange
    • Guangzhou
    • Nyse
    • Stock

Connections between topic areas Semantic bridges

For Vipshop, one of the stronger structural bridges in this analysis connects Vipshop with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Vipshop — Overview · splits 8 ⟂ 12
Vipshop — Sales model · splits 17 ⟂ 3

Map overview Semantic statistics

Vipshop

Nodes20
Edges19
Triples27
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around Vipshop to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Vipshop · EN edition · Analysis: TopicsToTalkAbout

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