صورة الغلاف المحلية
صورة الغلاف المحلية
عرض عادي

Market segmentation analysis : understanding it, doing it, and making it useful / by Sara Dolnicar, Bettina Grun, Friedrich Leisch.

بواسطة:المساهم (المساهمين):نوع المادة : نصنصالسلاسل:Management for Professionalsالناشر:Singapore : Springer Singapore : Imprint: Springer, 2018الطبعات:1st ed. 2018وصف:1 online resource (XXI, 324 pages 123 illustrations, 51 illustrations in color.)نوع المحتوى:
  • text
نوع الوسائط:
  • computer
نوع الناقل:
  • online resource
تدمك:
  • 9789811088186
  • 9789811088179
الموضوع:النوع/الشكل:تصنيف مكتبة الكونجرس:
  • HF5415.2
موارد على الانترنت:
المحتويات:
Part I. Introduction -- Chapter 1. Market segmentation -- Chapter 2. Market segmentation analysis -- Part II. Ten steps of market segmentation analysis -- Chapter 3. STEP 1: Deciding (not) to segment -- Chapter 4. STEP 2: Specifying the ideal target segment -- Chapter 5. STEP 3: Collecting data -- Chapter 6. STEP 4: Exploring data -- Chapter 7. STEP 5: Extracting segments -- Chapter 8. STEP 6: Profiling segments -- Chapter 9. STEP 7: Describing segments -- Chapter 10. STEP 8: Selecting (the) target segment(s) -- Chapter 11. STEP 9: Customising the marketing mix -- Chapter 12. STEP 10: Evaluation and monitoring.
ملخص:This book is published open access under a CC BY 4.0 license. This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رابط URL حالة تاريخ الإستحقاق الباركود حجوزات مادة
مصدر رقمي مصدر رقمي UAE Federation Library | مكتبة اتحاد الإمارات Online Copy | نسخة إلكترونية رابط إلى المورد لا يعار
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Part I. Introduction -- Chapter 1. Market segmentation -- Chapter 2. Market segmentation analysis -- Part II. Ten steps of market segmentation analysis -- Chapter 3. STEP 1: Deciding (not) to segment -- Chapter 4. STEP 2: Specifying the ideal target segment -- Chapter 5. STEP 3: Collecting data -- Chapter 6. STEP 4: Exploring data -- Chapter 7. STEP 5: Extracting segments -- Chapter 8. STEP 6: Profiling segments -- Chapter 9. STEP 7: Describing segments -- Chapter 10. STEP 8: Selecting (the) target segment(s) -- Chapter 11. STEP 9: Customising the marketing mix -- Chapter 12. STEP 10: Evaluation and monitoring.

This book is published open access under a CC BY 4.0 license. This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions; organisational guidance on implementation issues; guidance for market researchers in charge of collecting suitable data; and guidance for data analysts with respect to the technical and statistical aspects of market segmentation analysis. Even market segmentation experts will find something new, including a vast array of useful visualisation techniques that make interpretation of market segments and selection of target segments easier. The book talks the reader through every single step, every single potential pitfall, and every single decision that needs to be made to ensure market segmentation analysis is conducted as well as possible. All calculations are accompanied not only with a detailed explanation, but also with R code that allows readers to replicate any aspect of what is being covered in the book using R, the open-source environment for statistical computing and graphics.

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