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
学霸土豆发布了新的文献求助10
1秒前
1秒前
陀思妥耶夫斯基完成签到 ,获得积分10
2秒前
3秒前
3秒前
gwenjing完成签到,获得积分10
3秒前
3秒前
4秒前
李健应助单薄的英姑采纳,获得10
4秒前
鸭梨发布了新的文献求助10
5秒前
科研通AI2S应助可靠秋柳采纳,获得10
5秒前
一点灵光发布了新的文献求助10
5秒前
巫马幻莲完成签到,获得积分10
6秒前
6秒前
开朗的翠丝完成签到,获得积分10
6秒前
DDeng发布了新的文献求助10
6秒前
大大发布了新的文献求助10
6秒前
7秒前
Shake完成签到,获得积分10
7秒前
清零发布了新的文献求助10
7秒前
斯文败类应助Glufo采纳,获得10
9秒前
老北京发布了新的文献求助10
9秒前
RRRabbit完成签到,获得积分10
9秒前
12秒前
健忘书兰完成签到,获得积分20
12秒前
大美女完成签到,获得积分20
13秒前
13秒前
大肥猫发布了新的文献求助10
14秒前
14秒前
14秒前
单薄的英姑完成签到,获得积分10
14秒前
一鸣大人完成签到,获得积分10
15秒前
15秒前
16秒前
17秒前
18秒前
smf960417发布了新的文献求助10
19秒前
满意向雁发布了新的文献求助10
19秒前
王正浩完成签到 ,获得积分10
19秒前
迅速芸遥发布了新的文献求助10
19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
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
2024 Medicinal Chemistry Reviews 400
Dictionary of socialism 350
Geochemistry, 2nd Edition 地球化学经典教科书第二版 300
Idoxuridine 260
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 3194019
求助须知:如何正确求助?哪些是违规求助? 2842911
关于积分的说明 8042344
捐赠科研通 2507365
什么是DOI,文献DOI怎么找? 1339774
科研通“疑难数据库(出版商)”最低求助积分说明 638807
邀请新用户注册赠送积分活动 607647