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Advanced customer analytics: targeting, valuing, segmenting and loyalty techniques

By: Publication details: Kogan Page 2016 United KingdomDescription: xiv, 249p. PaperbackISBN:
  • 978-0-7494-7715-8
Subject(s): DDC classification:
  • 658.812/Gri/34006 34006
Contents:
Section - 01: Overview;Section - 02: Regression and Factor Analysis;Section - 03: Retail;Section - 04: Retail;Section - 05: Understanding and estimating demand;Section - 06: Price elasticity and discounts;Section - 07: Valuing marketing communications (marcomm);Section - 08: Forecasting future demand;Section - 09: Targeting the right customers;Section - 10: Maximizing the impact of mailing;Section - 11: The benefits of product bundling;Section - 12: Estimating time of purchase;Section - 13: Investigating the time of product purchase;Section - 14: Increasing customer lifetime value;Section - 15: Modelling counts (transactions);Section - 16: Quantifying complexity of customer behaviour;Section - 17: Designing effective loyalty programmes;Section - 18: Identifying loyal customers;Section - 19: Introduction to segmentation;Section - 20: Tools for successful segmentation;Section - 21: Drawing insights from segmentation;Section - 22: Creating targeted messages;Section - 23: RFM vs. segmentation;Section - 24: Marketing strategy;
Summary: Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design. A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data. Online resources include a selection of datasets to support specific chapters.
List(s) this item appears in: Recent aditions_August 2017
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Reference Reference Main Library 658.812/Gri/34006 (Browse shelf(Opens below)) Not For Loan 11134006
Total holds: 0

Section - 01: Overview;Section - 02: Regression and Factor Analysis;Section - 03: Retail;Section - 04: Retail;Section - 05: Understanding and estimating demand;Section - 06: Price elasticity and discounts;Section - 07: Valuing marketing communications (marcomm);Section - 08: Forecasting future demand;Section - 09: Targeting the right customers;Section - 10: Maximizing the impact of mailing;Section - 11: The benefits of product bundling;Section - 12: Estimating time of purchase;Section - 13: Investigating the time of product purchase;Section - 14: Increasing customer lifetime value;Section - 15: Modelling counts (transactions);Section - 16: Quantifying complexity of customer behaviour;Section - 17: Designing effective loyalty programmes;Section - 18: Identifying loyal customers;Section - 19: Introduction to segmentation;Section - 20: Tools for successful segmentation;Section - 21: Drawing insights from segmentation;Section - 22: Creating targeted messages;Section - 23: RFM vs. segmentation;Section - 24: Marketing strategy;

Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design.

A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data. Online resources include a selection of datasets to support specific chapters.

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