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از ساعت 7 صبح تا 10 شب
ویرایش: [2 ed.]
نویسندگان: Mark Lamplugh
سری:
ISBN (شابک) : 1501522892, 9781501522895
ناشر: Mercury Learning and Information
سال نشر: 2024
تعداد صفحات: 272
زبان: English
فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 978 Kb
در صورت تبدیل فایل کتاب The AI Marketing Playbook: Concepts • Methods • Applications (MLI Generative AI Series) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب کتاب بازی بازاریابی AI: مفاهیم • روش ها • برنامه ها (سری MLI Generative AI) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Half-Title Page LICENSE, DISCLAIMER OF LIABILITY, AND LIMITED WARRANTY Title Page Copyright Page Dedication Contents Preface Chapter 1: Introduction to Artificial Intelligence Marketing AI Marketing and Its Benefits How AI Marketing Can Enhance Traditional Marketing Techniques Personalization and Targeting: A New Frontier Harnessing the Power of AI in Marketing Innovative Optimization and Efficiency The History of AI in Marketing The Dawn of AI in Marketing The Rise of Big Data Personalization and Automation: A New Era in Marketing The Evolution of AI in Marketing: A Promising Outlook The Impact of AI on the Marketing Industry Enhancing Personalization and Customer Experience with AI Revolutionizing Marketing Analytics and Optimization Through AI Predictive Analytics and Forecasting The Expanding Role of AI in Marketing’s Future Future Trends in AI Marketing Scaling Personalization with AI From Chatbots to Advanced Conversational AI Voice Search Optimization: Tuning into the Future Predictive Analytics: A Crystal Ball for Marketers Automated Content Creation: Turning the Page on Tradition Image and Video Recognition: A Smarter Vision VR and AR AI Marketing: Transforming the Marketing Industry The Advantages of AI Marketing Improving Conventional Marketing Methods AI in Marketing: A Brief History The Influence of AI on the Marketing Industry Upcoming AI Marketing Trends Chapter 2: Understanding Artificial Intelligence and Machine Learning The Basics of AI and ML What Exactly is AI? What Exactly is Machine Learning (ML)? AI and ML Examples How AI is Used in Marketing Data Examination Marketing that is Tailored to the Individual Making Content Chatbots and Consumer Support Algorithms for Supervised Learning Algorithms for Unsupervised Learning Applications of ML Algorithms The Importance of Training Data for ML The Role of Data Science in AI Marketing Chapter 3: Preparing Your Data for Artificial Intelligence Importance of Data Hygiene and Quality Structuring Data for ML Algorithms Optimizing Data Collection and Storage for AI Applications Essential Data Preprocessing Methods Revolutionizing AI Marketing with Tools and Platforms Data Hygiene and Quality Structure Data for Machine Learning Algorithms Strategies for Collecting and Storing Data Determine Essential Data Select Suitable Data Sources Utilize Data Management Platforms Tap into Third-Party Data Providers Prioritize Data Quality Establish Data Governance Policies Embrace Cloud-Based Storage Solutions Prioritize Data Security Measures Common Data Preprocessing Techniques Tools and Platforms for Managing Data for AI Marketing Chapter 4: Using Artificial Intelligence to Analyze Customer Behavior How AI Can Be Used to Analyze Customer Behavior Predictive Analytics Sentiment Analysis Customer Segmentation Image Recognition How Businesses Have Successfully Used AI to Understand Their Customers Amazon Netflix Starbucks Techniques for Creating Customer Personas Using AI The Role of Clustering and Segmentation in Customer Analysis Definition of Clustering and Segmentation Benefits of Clustering and Segmentation Effective Use of Clustering and Segmentation in Marketing The Importance of Feedback Loops in Customer Analysis What Is a Feedback Loop? What Is the Significance of Feedback Loops in Customer Analysis? Chapter 5: Personalization with Artificial Intelligence Successful Personalization Strategies Personalization at Scale: Automating Individualized Experiences What Is AI Personalization at Scale? Why is AI Personalization Important? How to Automate Individualized Experiences with AI Personalization Examples of AI Personalization Ethical Considerations When Using AI for Personalization Measuring the ROI of Personalization with AI Chapter 6: Chatbots and Artificial Intelligence-Powered Customer Service Benefits of Using Chatbots and AI-Powered Customer Service Increased Efficiency Improved Customer Experiences Better Knowledge of the Data Profitable Scalable How Businesses Have Implemented Chatbots Successfully E-Commerce and Retail Banking and Finance Benefits of Using Chatbots and AI-Powered Customer Service Travel and Hospitality Health Designing Conversational Interfaces for Chatbots Why Is Conversational Interface Design Important for Chatbots? Best Practices for Designing Conversational Interfaces for Chatbots Best Practices for Training Chatbots with NLP The Future of AI-Powered Customer Service: Virtual Assistants and Voice-Activated Interfaces Virtual Assistants Voice-Enabled Interfaces The Future of AI-Powered Customer Service Chapter 7: Image and Video Recognition with Artificial Intelligence How AI Can Be Used for Image and Video Recognition Successful Image and Video Detection Strategies Object Detection Face Recognition Emotion Detection Applications of Computer Vision in Marketing Techniques for Training Image Recognition Models Convolutional Neural Networks (CNNs) Learning Transfer Data Increase Learning Together Ethical Considerations When Using AI for Image and Video Recognition Summary Chapter 8: Using Artificial Intelligence (AI) for Social Media Marketing How AI Can Be Used for Social Media Marketing The History of AI in Social Media Marketing Using AI for Social Media Marketing Challenges When Using AI for Social Media Marketing Successful Social Media Marketing Strategies Personalization Chatbots Analysis of Feelings with Sentiment Analysis The Role of Sentiment Analysis in Social Media Marketing Understand the Audience Brand Reputation Monitoring Identification of Trends and Opportunities Measurement of Marketing Effectiveness Predictive Analytics and Social Media Marketing The Impact of AI on Social Media Advertising Chapter 9: Predictive Analytics with Artificial Intelligence (AI) How AI Can Be Used for Predictive Analytics Types of Predictive Analytics Successful Predictive Analytics Strategies Audience Segmentation Predicting Customer Abandonment Personalization of Content Predictive Scoring of Leads The Basics of Predictive Modeling with Machine Learning Algorithms Time Series Analysis and Predictive Analytics History of Time Series Analysis Time Series Analysis in Marketing Predictive Analytics in Marketing Methods of Time Series Analysis and Predictive Analytics Natural Language Processing Recommendation Systems Chapter 10: Email Marketing with Artificial Intelligence (AI) How AI Can Be Used for Email Marketing Examples of Successful Email Marketing Strategies that Use AI Personalization Predictive Analytics Automated Emails Dynamic Content Benefits of AI in Email Marketing Techniques for Optimizing Email Subject Lines with AI NLP Predictive Analytics Examples Personalizing Email Content with AI Why Personalize Email Content? Benefits of Personalization How AI Can Personalize Email Content Examples of AI-Powered Email Personalization Measuring the Effectiveness of Email Marketing with AI History of Email Marketing Measuring the Effectiveness of Email Marketing with AI Chapter 11: Search Engine Optimization (SEO) with Artificial Intelligence (AI) How AI Can Be Used for SEO Examples of Successful SEO Strategies that Use AI Techniques for Keyword Research with AI Optimizing Content for Search Engines with AI The Future of SEO with AI: Voice Search and NLP How AI Can Be Used for SEO Successful SEO Strategies that Use AI Content Optimization Using AI AI-Powered Keyword Research Voice Search Optimization Using AI Predictive Analytics Using AI AI-Powered Link Building Image Optimization Using AI Techniques for Keyword Research with AI Optimizing Content for Search Engines with AI Understanding AI and Search Engines Using AI to Optimize Content for Search Engines Content Creation Step-by-Step Instructions for Using AI for Content Creation Content Optimization Image and Video Optimization The Future of SEO with AI: Voice Search and NLP Voice Search NLP Chapter 12: Using Artificial Intelligence for Content Marketing How AI Can Be Used for Content Marketing Content Creation Content Optimization Personalization Content Content Analysis Successful Content Marketing Strategies that Use AI The Role of AI in Content Ideation and Creation Content Ideation Content Creation Personalizing Content for Different Audience Segments with AI What is Personalizing Content for Different Audience Segments with AI? Why is Personalizing Content with AI Important? How to Personalize Content for Different Audience Segments with AI Measuring the Effectiveness of Content Marketing with AI Understanding Content Marketing Measuring the Effectiveness of Content Marketing How AI Can Help Measure the Effectiveness of Content Marketing Challenges of Using AI for Measuring the Effectiveness of Content Marketing Chapter 13: Marketing Automation with Artificial Intelligence (AI) Successful Marketing Automation Strategies that Use AI Here are Some Examples of Successful Marketing Automation Strategies that Utilize AI Techniques for Automating Lead Scoring and Nurturing with AI Step 1: Define the Ideal Customer Profile (ICP) Step 2: Identify Key Buying Signals Step 3: Use AI-Powered Lead Scoring Models Step 4: Use AI-Powered Lead Nurturing Tools Step 5: Integrate AI-Powered Tools into the CRM Step 6: Monitor and Optimize AI-Powered Lead Scoring and Nurturing The Role of AI in Automated Email Campaigns and Drip Marketing Automated Email Campaigns Drip Marketing Using AI in Automated Email Campaigns and Drip Marketing Tips for Using AI in Automated Email Campaigns and Drip Marketing Challenges and Limitations of Using AI for Marketing Automation Chapter 14: Using Artificial Intelligence (AI) for Sales Enablement How AI Can Be Used for Sales Enablement Benefits of Using AI for Sales Enablement Challenges of Using AI to Help Sales Best Practices for Using AI to Empower Sales Successful Sales Enablement Strategies that Use AI The Role of AI in Lead Generation and Qualification What Are Lead Generation and Qualification? The Role of AI in Lead Generation and Qualification Advantages of Using AI to Generate and Qualify Leads Sales Forecasting with AI The Impact of AI on Sales Productivity and Efficiency Automated Lead Generation Automated Sales Forecasting AI-Powered Customer Service Automated Sales Processes Chapter 15: Ethical Considerations and the Future of Artificial Intelligence (AI) in Marketing Ethical Considerations When Using AI in Marketing Potential Ethical Concerns with AI in Marketing The Importance of Transparency and Privacy When Using AI in Marketing The Future of AI in Marketing: Emerging Technologies and Trends The Role of Human Expertise and Creativity in AI-Powered Marketing Ethical Considerations When Using AI in Marketing Potential Ethical Concerns with AI in Marketing Targeted Advertising Personalization Privacy Bias The Importance of Transparency and Privacy When Using AI in Marketing The Future of AI in Marketing: Emerging Technologies and Trends Emerging Technologies and Trends Ethical Models and Standards The Role of Human Expertise and Creativity in AI-Powered Marketing The Importance of Human Expertise in AI-Powered Marketing The Role of Creativity in AI-Powered Marketing The Importance of Human Expertise in AI-Powered Marketing Ethical Considerations in AI Marketing Potential Ethical Concerns with AI in Marketing Transparency and Privacy in AI Marketing Future of AI in Marketing Role of Human Expertise and Creativity in AI-Powered Marketing Index