000			02768 a2200217 4500
008			220309b |||||||| |||| 00| 0 eng d
020			_a978-0-7494-7715-8
082			_a658.812/Gri/34006 _b34006
100			_aGrigsby, Mike _936722
245			_aAdvanced customer analytics: targeting, valuing, segmenting and loyalty techniques
260			_bKogan Page _c2016 _aUnited Kingdom
300			_axiv, 249p. _bPaperback
505			_aSection - 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;
520			_aAdvanced 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.
650			_aCustomer relations,
650			_aMarketing research
650			_aCustomer loyality _936723
650			_aConsumers-research _936724
942			_2ddc _cBK
999			_c48068 _d48068