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
一一应助西门向卉采纳,获得10
1秒前
nykal完成签到 ,获得积分10
2秒前
111发布了新的文献求助10
4秒前
10秒前
深情安青应助怡然小海豚采纳,获得10
10秒前
一一应助Aggie采纳,获得10
11秒前
领导范儿应助000采纳,获得10
11秒前
UJS_2022完成签到,获得积分10
14秒前
gb完成签到 ,获得积分10
15秒前
15秒前
一口南瓜饼完成签到 ,获得积分10
15秒前
直率的心情完成签到,获得积分10
16秒前
Z1987完成签到,获得积分10
18秒前
青青完成签到 ,获得积分10
19秒前
19秒前
19秒前
再睡十分钟完成签到,获得积分10
20秒前
20秒前
21秒前
21秒前
111发布了新的文献求助30
22秒前
一一应助机灵的电脑采纳,获得10
23秒前
鹅1完成签到,获得积分10
24秒前
24秒前
荡南桥发布了新的文献求助10
25秒前
徐逊发布了新的文献求助10
25秒前
科研通AI2S应助Billy采纳,获得10
26秒前
Hello应助武雨寒采纳,获得10
26秒前
27秒前
wangye发布了新的文献求助10
27秒前
27秒前
领导范儿应助明理的夏岚采纳,获得10
29秒前
鼹鼠发布了新的文献求助30
29秒前
31秒前
隐形曼青应助务实的映菡采纳,获得10
31秒前
小小橙发布了新的文献求助10
31秒前
33秒前
灯灯完成签到,获得积分10
33秒前
34秒前
专注刺猬完成签到,获得积分10
35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
A real-time energy management strategy based on fuzzy control and ECMS for PHEVs 400
2024 Medicinal Chemistry Reviews 400
Актуализированная стратиграфическая схема триасовых отложений Прикаспийского региона. Объяснительная записка 360
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 3191522
求助须知:如何正确求助?哪些是违规求助? 2840870
关于积分的说明 8030544
捐赠科研通 2504273
什么是DOI,文献DOI怎么找? 1337556
科研通“疑难数据库(出版商)”最低求助积分说明 638130
邀请新用户注册赠送积分活动 606663