Machine Learning and Generative AI for Marketing: Take your data-driven marketing strategies to the next level using Python (行銷的機器學習與生成式人工智慧:運用Python提升數據驅動的行銷策略)

Hwang, Yoon Hyup, Burtch, Nicholas C.

相關主題

商品描述

Start transforming your data-driven marketing strategies and increasing customer engagement. Learn how to create compelling marketing content using advanced gen AI techniques and stay in touch with the future AI ML landscape.

Purchase of the print or Kindle book includes a free eBook in PDF format

Key Features:

- Enhance customer engagement and personalization through predictive analytics and advanced segmentation techniques

- Combine Python programming with the latest advancements in generative AI to create marketing content and address real-world marketing challenges

- Understand cutting-edge AI concepts and their responsible use in marketing

Book Description:

In the dynamic world of marketing, the integration of artificial intelligence (AI) and machine learning (ML) is no longer just an advantage-it's a necessity. Moreover, the rise of generative AI (gen AI ) helps the creation of highly personalized, engaging content that resonates with the target audience

This book provides a comprehensive toolkit for harnessing the power of gen AI to craft marketing strategies that not only predict customer behaviors but also captivate and convert, leading to improved cost per acquisition, boosted conversion rates, and increased net sales

Starting with the basics of Python for data analysis and progressing to sophisticated ML and gen AI models, this book is your comprehensive guide to understanding and applying AI to enhance marketing strategies. Through engaging content and hands-on examples, you'll learn to harness the capabilities of AI to unlock deep insights into customer behaviors, craft personalized marketing messages, and drive significant business growth. Additionally, you'll explore the ethical implications of AI, ensuring that your marketing strategies are not only effective but also responsible and compliant with current standards

By the conclusion of this book, you'll be equipped to design, launch, a nd manage marketing campaigns that are not just successful but also cutting-edge.

What You Will Learn:

- Master key marketing KPIs with advanced computational techniques

- Use explanatory data analysis to drive marketing decisions

- Leverage ML models to predict customer behaviors, engagement levels, and customer lifetime value

- Enhance customer segmentation with ML and develop highly personalized marketing campaigns

- Design and execute effective A/B tests to optimize your marketing decisions

- Apply natural language processing (NLP) to analyze customer feedback and sentiments

- Integrate ethical AI practices to maintain privacy in data-driven marketing strategies

Who this book is for:

This book targets a diverse group of professionals:

- Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challenges

- Machine learning engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposes

- Marketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketing

- Reader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologies

Table of Contents

- The Evolution of Marketing in the AI Era & Preparing Your Toolkit

- Decoding Marketing Performance with KPIs

- Unveiling the Dynamics of Marketing Success

- Harnessing Seasonality and Trends for Strategic Planning

- Enhancing Customer Insight with Sentiment Analysis

- Leveraging Predictive Analytics and A/B Testing for Customer Engagement

(N.B. Please use the Read Sample option to see further chapters)

商品描述(中文翻譯)

開始轉變您的數據驅動行銷策略並提升客戶參與度。學習如何使用先進的生成式人工智慧技術創造引人注目的行銷內容,並與未來的人工智慧和機器學習領域保持聯繫。

購買印刷版或 Kindle 書籍可獲得免費的 PDF 格式電子書。

主要特色:
- 通過預測分析和先進的細分技術增強客戶參與度和個性化體驗
- 將 Python 程式設計與最新的生成式人工智慧進展結合,創造行銷內容並解決現實世界的行銷挑戰
- 理解尖端的人工智慧概念及其在行銷中的負責任使用

書籍描述:
在行銷的動態世界中,人工智慧(AI)和機器學習(ML)的整合不再僅僅是一種優勢,而是必需品。此外,生成式人工智慧(gen AI)的興起促進了高度個性化和引人入勝的內容創作,能夠與目標受眾產生共鳴。

本書提供了一套全面的工具包,以利用生成式人工智慧的力量來制定行銷策略,不僅能預測客戶行為,還能吸引並轉化客戶,從而改善每次獲客成本、提升轉換率並增加淨銷售額。

本書從 Python 數據分析的基礎開始,逐步深入到複雜的機器學習和生成式人工智慧模型,是您理解和應用人工智慧以增強行銷策略的全面指南。通過引人入勝的內容和實作範例,您將學會利用人工智慧的能力深入洞察客戶行為,創造個性化的行銷訊息,並推動顯著的業務增長。此外,您還將探討人工智慧的倫理影響,確保您的行銷策略不僅有效,還負責任並符合當前標準。

在本書結束時,您將具備設計、啟動和管理不僅成功而且前沿的行銷活動的能力。

您將學到的內容:
- 精通關鍵行銷 KPI,運用先進的計算技術
- 使用解釋性數據分析推動行銷決策
- 利用機器學習模型預測客戶行為、參與程度和客戶終身價值
- 通過機器學習增強客戶細分,開發高度個性化的行銷活動
- 設計和執行有效的 A/B 測試以優化行銷決策
- 應用自然語言處理(NLP)分析客戶反饋和情感
- 整合倫理人工智慧實踐以維護數據驅動行銷策略中的隱私

本書適合對象:
本書針對多元的專業人士:
- 專注於行銷領域的數據科學家和分析師,尋求應用先進的人工智慧和機器學習技術解決現實世界的行銷挑戰
- 機器學習工程師和軟體開發人員,旨在為行銷目的構建或整合人工智慧驅動的工具和應用
- 行銷專業人士、商業領袖和企業家,必須了解人工智慧對行銷的影響
- 讀者應具備 Python 的基礎能力以及對機器學習原則和數據科學方法論的基本到中級理解

目錄:
- AI 時代行銷的演變與工具包準備
- 通過 KPI 解碼行銷表現
- 揭示行銷成功的動態
- 利用季節性和趨勢進行策略規劃
- 通過情感分析增強客戶洞察
- 利用預測分析和 A/B 測試提升客戶參與度

(注意:請使用「閱讀範本」選項查看後續章節)