Hands-On Data Science for Marketing (Paperback)

Optimize your marketing strategies through analytics and machine learning

Key Features

• Understand how data science drives successful marketing campaigns
• Use machine learning for better customer engagement, retention, and product recommendations
• Extract insights from your data to optimize marketing strategies and increase profitability

Book Description

Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies.

This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R.

By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.

What you will learn

• Learn how to compute and visualize marketing KPIs in Python and R
• Master what drives successful marketing campaigns with data science
• Use machine learning to predict customer engagement and lifetime value
• Make product recommendations that customers are most likely to buy
• Learn how to use A/B testing for better marketing decision making
• Implement machine learning to understand different customer segments

透過分析和機器學習優化您的行銷策略

關鍵特點

- 了解數據科學如何推動成功的行銷活動
- 使用機器學習提升客戶參與度、保留率和產品推薦
- 從數據中提取洞察，優化行銷策略並提高盈利能力

書籍描述

無論公司規模如何，數據科學和機器學習在行銷領域的應用都在不斷增加。通過本書，您將學習如何運用數據科學技術來理解行銷活動的成功和失敗的原因。本書是一本全面指南，幫助您理解並預測客戶行為，並創建更有針對性和個性化的行銷策略。

本書提供了執行從簡單到高級任務的實用指南，以從數據中提取隱藏的洞察並將其用於智能商業決策。您將了解是什麼推動了產品的銷售和客戶參與度。您將學習如何運用機器學習來預測哪些客戶更有可能參與產品並具有高生命週期價值。本書還將向您展示如何使用機器學習技術來理解不同的客戶群體並為每個客戶推薦合適的產品。除了通過探索性分析獲取對消費者行為的洞察之外，您還將學習A/B測試的概念並使用Python和R進行實施。

通過閱讀本書，您將熟練掌握各種數據科學和機器學習技術，能夠為您的業務運行和管理成功的行銷活動。

您將學到什麼

- 學習如何在Python和R中計算和可視化行銷關鍵績效指標
- 掌握數據科學驅動成功行銷活動的關鍵因素
- 使用機器學習預測客戶參與度和生命週期價值
- 提供客戶最有可能購買的產品推薦
- 學習如何使用A/B測試做出更好的行銷決策
- 實施機器學習來理解不同的客戶群體