Customer online shopping experience data analytics

采购 竞争对手分析 市场细分 业务 顾客终身价值 营销 客户情报 消费者行为 客户保留 计算机科学 服务(商务) 服务质量
作者
Eugene Y. Wong,Wei Yan
出处
期刊:International Journal of Retail & Distribution Management [Emerald (MCB UP)]
卷期号:46 (4): 406-420 被引量:44
标识
DOI:10.1108/ijrdm-06-2017-0130
摘要

Purpose The purpose of this paper is to develop a customer online behaviour analysis tool, segment high-value customers, analyse their online purchasing behaviour and predict their next purchases from an online air travel corporation. Design/methodology/approach An operations review of the customer online shopping process of an online travel agency (OTA) is conducted. A customer online shopping behaviour analysis tool is developed. The tool integrates competitors’ pricing data mining, customer segmentation and predictive analysis. The impacts of competitors’ price changes on customer purchasing decisions regarding the OTA’s products are evaluated. The integrated model for mining pricing data, identifying potential customers and predicting their next purchases helps the OTA recommend tailored product packages to its individual customers with reference to their travel patterns. Findings In the customer segmentation analysis, 110,840 customers are identified and segmented based on their purchasing behaviour. The relationship between the purchasing behaviour in an OTA and the price changes of different OTAs are analysed. There is a significant relationship between the flight duration time and the purchase lead time. The next travel destinations of segmented high-value customers are predicted with reference to their travel patterns and the significance of the relationships between destination pairs. Practical implications The developed model contributes to pricing evaluation, customer segmentation and package customization for online customers. Originality/value This study provides novel method and insights into customer behaviour towards OTAs through an integrated model of customer segmentation, customer behaviour and prediction analysis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
2秒前
FashionBoy应助迅速的白秋采纳,获得10
3秒前
万能图书馆应助泥泥采纳,获得10
4秒前
毛豆爸爸应助mbf采纳,获得10
4秒前
mmm完成签到 ,获得积分10
4秒前
田様应助YWH采纳,获得10
5秒前
5秒前
6秒前
海上森林一只猫关注了科研通微信公众号
7秒前
超人子子发布了新的文献求助10
7秒前
大方煎蛋发布了新的文献求助10
7秒前
威猛先生发布了新的文献求助10
7秒前
孙太阳完成签到 ,获得积分10
8秒前
李健应助明亮的涵山采纳,获得10
8秒前
焦糖布丁完成签到,获得积分10
8秒前
爱吃黄豆完成签到,获得积分10
9秒前
文章多多发布了新的文献求助10
9秒前
9秒前
9秒前
10秒前
10秒前
yang发布了新的文献求助10
11秒前
12秒前
cc陈完成签到,获得积分10
13秒前
Hello应助威猛先生采纳,获得10
13秒前
14秒前
司空败完成签到,获得积分20
14秒前
毛头侠发布了新的文献求助10
14秒前
超级冰薇发布了新的文献求助10
14秒前
15秒前
15秒前
16秒前
18秒前
18秒前
南风发布了新的文献求助10
18秒前
meng完成签到,获得积分10
19秒前
huang发布了新的文献求助10
19秒前
PANYIAO发布了新的文献求助10
20秒前
橙色发布了新的文献求助10
20秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
ALA生合成不全マウスでの糖代謝異常の分子機構解析 520
安全防范技术与工程 500
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
2-Acetyl-1-pyrroline: an important aroma component of cooked rice 500
A real-time energy management strategy based on fuzzy control and ECMS for PHEVs 400
2024 Medicinal Chemistry Reviews 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3191068
求助须知:如何正确求助?哪些是违规求助? 2840381
关于积分的说明 8028337
捐赠科研通 2503773
什么是DOI,文献DOI怎么找? 1337163
科研通“疑难数据库(出版商)”最低求助积分说明 638034
邀请新用户注册赠送积分活动 606474