دانلود رایگان مقاله انگلیسی تقسیم بندی مشتری با کانال خرید و نقاط ارتباط رسانه ای با استفاده از داده پانل تک منبع - الزویر 2018

عنوان فارسی
تقسیم بندی مشتری با کانال های خرید و نقاط ارتباط رسانه ای با استفاده از داده پانل تک منبع
عنوان انگلیسی
Customer segmentation with purchase channels and media touchpoints using single source panel data
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
11
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E10626
رشته های مرتبط با این مقاله
مدیریت
گرایش های مرتبط با این مقاله
بازاریابی
مجله
مجله خرده فروشی و خدمات مصرف کننده - Journal of Retailing and Consumer Services
دانشگاه
University of Tsukuba - 1-1-1 Tennoudai - Tsukuba-shi - Ibaraki - Japan
کلمات کلیدی
رفتار خرید چند کاناله، مراحل خرید، تحلیل خوشه ای مکون-کلاس، داده های رفتاری
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.jretconser.2017.11.012
چکیده

ABSTRACT


This study examines how customers use multiple channels and media in modern retail environments. It segments customers by using Latent-Class Cluster Analysis, which focuses on the purchase channels of bricks-and-mortar and online stores, media touchpoints of PC, mobile, and social media, and psychographic and demographic characteristics. It extends the framework of prior research by analyzing 2595 Japanese single source panelists’ data in which purchase scan panel data on low-involvement, more frequently purchased categories, media contact log data, and survey data are tied to the same ID. The analyses reveal seven segments including the properties of research shoppers and multichannel enthusiasts.

نتیجه گیری

Contributions and implications


Theoretical contributions


This study provided customer segmentation by using Latent-Class Cluster Analysis and focusing on purchase channels and media touchpoints. Further, we identified the psychographic and demographic covariates that impact segment membership. We discuss the theoretical implication of our findings below.


Comparisons of segments based on actual behavioral data with past studies


The segmentation based on actual behavioral data in this study has provided results that support the findings from past studies. With regard to the concept of segmentation results, the seven segments obtained in this study are classified into three, just as in Konus et al. (2008) (more precisely, into four store-focused customer segments, one uninvolved shopper segment, and two multichannel enthusiast segments). Furthermore, with regard to media touchpoints, as in the case of Sands et al. (2016), we identified two research shopper segments that used many online information contacts but made actual purchases in bricks-and-mortar stores. Additionally, we obtained findings that are consistent with previous studies with regard to the individual differences between these segments. More concretely, we found among multichannel enthusiasts those with high innovativeness and who seek pleasant shopping experiences (Konus et al., 2008; Wang et al., 2014).


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