Marketing Analytics :Data-Driven Techniques with Microsoft Excel

Publication subTitle :Data-Driven Techniques with Microsoft Excel

Author: Wayne L. Winston  

Publisher: John Wiley & Sons Inc‎

Publication year: 2014

E-ISBN: 9781118439357

P-ISBN(Paperback): 9781118373439

P-ISBN(Hardback):  9781118373439

Subject: TP Automation Technology , Computer Technology;TP39 computer application

Language: ENG

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Description

Helping tech-savvy marketers and data analysts solve real-world business problems with Excel

Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques—and achieve optimum results.

Practical exercises in each chapter help you apply and reinforce techniques as you learn.

  • Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical tools
  • Reveals how to target and retain profitable customers and avoid high-risk customers
  • Helps you forecast sales and improve response rates for marketing campaigns
  • Explores how to optimize price points for products and services, optimize store layouts, and improve online advertising
  • Covers social media, viral marketing, and how to exploit both effectively

Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel.

Chapter

Cover

pp.:  1 – 3

Title Page

pp.:  3 – 4

Copyright

pp.:  4 – 9

Contents

pp.:  9 – 25

Introduction

pp.:  25 – 33

Part I Using Excel to Summarize Marketing Data

pp.:  33 – 115

Part II Pricing

pp.:  115 – 191

Part III Forecasting

pp.:  191 – 293

Part IV What do Customers Want?

pp.:  293 – 357

Part V Customer Value

pp.:  357 – 407

Part VI Market Segmentation

pp.:  407 – 445

Part VII Forecasting New Product Sales

pp.:  445 – 475

Part VIII Retailing

pp.:  475 – 535

Part IX Advertising

pp.:  535 – 571

Part X Marketing Research Tools

pp.:  571 – 651

Part XI Internet and Social Marketing

pp.:  651 – 705

Index

pp.:  705 – 723

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