Name: Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques (en Inglés)
Price: 493366.00 COP
Availability: InStock
Author: Grigsby, Mike
ISBN: 9781398608214

portada Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques (en Inglés)

Formato

Libro Físico

Autor

Mike Grigsby

Editorial

Kogan Page

Idioma

Inglés

N° páginas

256

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 2.7 cm

Peso

0.65 kg.

ISBN13

9781398608214

N° edición

0003

Categorías

Economía conductista
Mercado online
Investigación de mercado

Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques (en Inglés)

Mike Grigsby (Autor) · Kogan Page · Tapa Dura

Libro Físico

$ 493.366

$ 897.029

Ahorras: $ 403.663

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 31 de Mayo y el Viernes 14 de Junio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques (en Inglés)"

Who is most likely to buy and what is the best way to target them? How can I use both consumer analytics and modelling to improve the impact of marketing campaigns? Marketing Analytics takes you step-by-step through these areas and more. Marketing Analytics enables you to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, it offers a complete resource for how statistics, consumer analytics and modelling can be put to optimal use. This revised and updated third edition of Marketing Analytics contains new material on forecasting, customer touchpoints modelling, and a new focus on customer loyalty. With accessible language throughout, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Supported by a glossary of key terms and supporting resources consisting of datasets, presentation slides for each chapter and a test bank of self-test question, this book supplies a concrete foundation for optimizing marketing analytics for day-to-day business advantage.