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Table of content

• E-commerce: An introduction
    ✔ Introduction
    ✔ Electronic commerce defined
    ✔ Who should use the Internet?
    ✔ Why use the Internet?
    ✔ Demand risk
    ✔ Innovation risk
    ✔ Inefficiency risk
    ✔ Disintermediation
    ✔ Key themes addressed
    ✔ Outline for the book
    ✔ Chapter Two: The technology of electronic commerce
    ✔ Chapter Three: Web strategy
    ✔ Chapter Four: Promotion
    ✔ Chapter Five: Promotion and purchase
    ✔ Chapter Six: Distribution
    ✔ Chapter Seven: Service
    ✔ Chapter Eight: Pricing
    ✔ Chapter Nine: Postmodernism
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Electronic commerce technology
    ✔ Introduction
    ✔ Internet technology
    ✔ Data transport
    ✔ Routing
    ✔ Addressability
    ✔ Infrastructure
    ✔ National information infrastructure
    ✔ Message distribution infrastructure
    ✔ Electronic publishing infrastructure
    ✔ Business services infrastructure
    ✔ Electronic commerce applications
    ✔ Electronic publishing
    ✔ PDF
    ✔ HTML
    ✔ HTML or PDF?
    ✔ Electronic commerce topologies
    ✔ EDI
    ✔ Security
    ✔ Access control
    ✔ Firewall
    ✔ Coding
    ✔ Encryption
    ✔ Signing
    ✔ Electronic money
    ✔ Electronic funds transfer
    ✔ Digital cash
    ✔ Ecash
    ✔ Credit card
    ✔ Secure electronic transactions
    ✔ SSL
    ✔ SET
    ✔ The SET components
    ✔ The process
    ✔ Cookies
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Web strategy: Attracting and retaining visitors
    ✔ Introduction
    ✔ Types of attractors
    ✔ The entertainment park
    ✔ The archive
    ✔ Exclusive sponsorship
    ✔ The town hall
    ✔ The club
    ✔ Examples include
    ✔ The gift shop
    ✔ The freeway intersections or portals
    ✔ The customer service center
    ✔ Summary
    ✔ Attractiveness factors
    ✔ Sustainable attractiveness
    ✔ Strategies for attractors
    ✔ Broad attraction
    ✔ Specialized attraction
    ✔ Personalized attractor
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Promotion: Integrated Web communications
    ✔ Introduction
    ✔ Internet technology for supporting marketing
    ✔ The Web as an integrating technology
    ✔ Integrated Internet Marketing
    ✔ The I2M matrix
    ✔ News stories
    ✔ Advertising
    ✔ Atmospherics
    ✔ Employees
    ✔ Litter
    ✔ Signs
    ✔ Personal experience
    ✔ Word of mouth
    ✔ Public relations
    ✔ Products and services
    ✔ Popular culture
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Promotion& purchase: Measuring effectiveness
    ✔ Introduction
    ✔ The Internet and the World Wide Web
    ✔ An electronic trade show and a virtual flea market
    ✔ The role of the Web in the marketing communication mix
    ✔ Web marketing communication: a conceptual framework
    ✔ Caching and undercounting
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Distribution
    ✔ Introduction
    ✔ What is the purpose of a distribution strategy?
    ✔ What does technology do?
    ✔ The death of distance
    ✔ The homogenization of time
    ✔ The irrelevance of location
    ✔ The Internet distribution matrix
    ✔ The effects of technology on distribution channels
    ✔ The death of distance and reassortment and sorting
    ✔ The death of distance and routinization
    ✔ The death of distance and searching
    ✔ The homogenization of time and reassortment/sorting
    ✔ The homogenization of time and routinization
    ✔ The homogenization of time and searching
    ✔ The irrelevance of location and reassortment/sorting
    ✔ The irrelevance of location and routinization
    ✔ The irrelevance of location and searching
    ✔ Some long-term effects
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Service
    ✔ Introduction
    ✔ What makes services different?
    ✔ Cyberservice
    ✔ Managing intangibility
    ✔ Use the Web to provide evidence
    ✔ Use the Web site to tangibilize the intangible
    ✔ Sampling in cyberspace
    ✔ Multiplying memories
    ✔ Managing simultaneity
    ✔ Customization
    ✔ Managing the customer as a part-time employee
    ✔ Innovation as part of customer participation
    ✔ Service industrialization
    ✔ Reducing customer errors
    ✔ Managing heterogeneity
    ✔ Service standardization on the Web site
    ✔ Electronic eavesdropping on customers’ conversations
    ✔ Service quality
    ✔ Managing perishability
    ✔ Managing supply on the Web site
    ✔ Directing demand on the Web site
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Pricing
    ✔ Introduction
    ✔ Web pricing and the dynamics of markets
    ✔ Flattening the pyramid and narrowing the scope of marketing
    ✔ Technology facilitates customer search
    ✔ Reduction of buyers’ transaction costs
    ✔ Customers make, rather than take, prices
    ✔ Customers control transactions
    ✔ A return to one-on-one negotiation
    ✔ Commoditization and efficient markets
    ✔ Migrating up the pyramid and more effective marketing
    ✔ Differentiated pricing all the time
    ✔ Creating customer switching barriers
    ✔ Use technology to de-menu pricing
    ✔ Be much better at differentiation: stage experiences
    ✔ Understand that customers may be willing to pay more
    ✔ Consider total purchase cost
    ✔ Establish electronic exchanges
    ✔ Maximize revenue not price
    ✔ Reduce the buyer’s risk
    ✔ Conclusion
    ✔ Cases
    ✔ References
• Post-Modernism and the Web: Societal effects
    ✔ Introduction
    ✔ What is modernism?
    ✔ And Post-Modernism?
    ✔ Fragmentation
    ✔ Fragmentation and the Web
    ✔ Dedifferentiation
    ✔ Dedifferentiation and the Web
    ✔ Hyperreality
    ✔ Hyperreality and the Web
    ✔ Time and space
    ✔ Time and space on the Web
    ✔ Paradox, reflexivity, and pastiche
    ✔ Paradox, reflexivity, pastiche and the Web
    ✔ Anti-foundationalism
    ✔ Anti-foundationalism and the Web
    ✔ Conclusion
    ✔ Cases
    ✔ References

Table of content

• Ecommerce Analytics Creates Business Value and Drives Business Growth
• The Ecommerce Analytics Value Chain
    ✔ Identifying and Prioritizing Demand
    ✔ Developing an Analytical Plan
    ✔ Activating the Ecommerce Analytics Environment
    ✔ Preparing and Wrangling Data
    ✔ Analyzing, Predicting, Optimizing, and Automating with Data
    ✔ Socializing Analytics
    ✔ Communicating the Economic Impact of Analytics
• Methods and Techniques for Ecommerce Analysis
    ✔ Understanding the Calendar for Ecommerce Analysis
    ✔ Storytelling Is Important for Ecommerce Analysis
    ✔ Tukey’s Exploratory Data Analysis Is an Important Concept in Ecommerce Analytics
    ✔ Types of Data: Simplified
    ✔ Looking at Data: Shapes of Data
    ✔ Analyzing Ecommerce Data Using Statistics and Machine Learning
    ✔ Using Key Performance Indicators for Ecommerce
• Visualizing, Dashboarding, and Reporting Ecommerce Data and Analysis
    ✔ Understanding Reporting
    ✔ Explaining the RASTA Approach to Reporting
    ✔ Understanding Dashboarding
    ✔ Explaining the LIVEN Approach to Dashboarding
    ✔ What Data Should I Start With in an Ecommerce Dashboard?
    ✔ Understanding Data Visualization
• Ecommerce Analytics Data Model and Technology
    ✔ Understanding the Ecommerce Analytics Data Model: Facts and Dimensions
    ✔ Explaining a Sample Ecommerce Data Model
    ✔ Understanding the Inventory Fact
    ✔ Understanding the Product Fact
    ✔ Understanding the Order Fact
    ✔ Understanding the Order Item Fact
    ✔ Understanding the Customers Fact
    ✔ Understanding the Customer Order Fact
    ✔ Reviewing Common Dimensions and Measures in Ecommerce
• Marketing and Advertising Analytics in Ecommerce
    ✔ Understanding the Shared Goals of Marketing and Advertising Analysis
    ✔ Reviewing the Marketing Lifecycle
    ✔ Understanding Types of Ecommerce Marketing
    ✔ Analyzing Marketing and Advertising for Ecommerce
    ✔ What Marketing Data Could You Begin to Analyze?
• Analyzing Behavioral Data
    ✔ Answering Business Questions with Behavioral Analytics
    ✔ Understanding Metrics and Key Performance Indicators for Behavioral Analysis
    ✔ Reviewing Types of Ecommerce Behavioral Analysis
• Optimizing for Ecommerce Conversion and User Experience
    ✔ The Importance of the Value Proposition in Conversion Optimization
    ✔ The Basics of Conversion Optimization: Persuasion, Psychology, Information Architecture, and Copywriting
    ✔ The Conversion Optimization Process: Ideation to Hypothesis to Post-Optimization Analysis
    ✔ The Data for Conversion Optimization: Analytics, Visualization, Research, Usability, Customer, and Technical Data
    ✔ The Science Behind Conversion Optimization
    ✔ Succeeding with Conversion Optimization
• Analyzing Ecommerce Customers
    ✔ What Does a Customer Record Look Like in Ecommerce?
    ✔ What Customer Data Could I Start to Analyze?
    ✔ Questioning Customer Data with Analytical Thought
    ✔ Understanding the Ecommerce Customer Analytics Lifecycle
    ✔ Defining the Types of Customers
    ✔ Reviewing Types of Customer Analytics
    ✔ Segmenting Customers
    ✔ Performing Cohort Analysis
    ✔ Calculating Customer Lifetime Value
    ✔ Determining the Cost of Customer Acquisition
    ✔ Analyzing Customer Churn
    ✔ Understanding Voice-of-the-Customer Analytics
    ✔ Doing Recency, Frequency, and Monetary Analysis
    ✔ Determining Share of Wallet
    ✔ Scoring Customers
    ✔ Predicting Customer Behavior
    ✔ Clustering Customers
    ✔ Predicting Customer Propensities
    ✔ Personalizing Customer Experiences
• Analyzing Products and Orders in Ecommerce
    ✔ What Are Ecommerce Orders?
    ✔ What Order Data Should I Begin to Analyze?
    ✔ What Metrics and Key Performance Indicators Are Relevant for Ecommerce Orders?
    ✔ Approaches to Analyzing Orders and Products
    ✔ Analyzing Products in Ecommerce
    ✔ Analyzing Merchandising in Ecommerce
    ✔ What Merchandising Data Should I Start Analyzing First?
• Attribution in Ecommerce Analytics
    ✔ Attributing Sources of Buyers, Conversion, Revenue, and Profit
    ✔ Understanding Engagement Mapping and the Types of Attribution
    ✔ The Difference between Top-Down and Bottom-Up Approaches to Attribution
    ✔ A Framework for Assessing Attribution Software
• What Is an Ecommerce Platform?
    ✔ Understanding the Core Components of an Ecommerce
    ✔ Understanding the Business Functions Supported by an Ecommerce Platform
    ✔ Determining an Analytical Approach to Analyzing the Ecommerce Platform
• Integrating Data and Analysis to Drive Your Ecommerce Strategy
    ✔ Defining the Types of Data, Single-Channel to Omnichannel
    ✔ Integrating Data from a Technical Perspective
    ✔ Integrating Analytics Applications
    ✔ Integrating Data from a Business Perspective
• Governing Data and Ensuring Privacy and Security
    ✔ Applying Data Governance in Ecommerce
    ✔ Applying Data Privacy and Security in Ecommerce
    ✔ Governance, Privacy, and Security Are Part of the Analyst’s Job
• Building Analytics Organizations and Socializing Successful Analytics
    ✔ Suggesting a Universal Approach for Building Successful Analytics Organizations
    ✔ Determine and Justify the Need for an Analytics Team
    ✔ Gain Support for Hiring or Appointing a Leader for Analytics
    ✔ Hire the Analytics Leader
    ✔ Gather Business Requirements
    ✔ Create the Mission and Vision for the Analytics Team
    ✔ Create an Organizational Model
    ✔ Hire Staff
    ✔ Assess the Current State Capabilities and Determine the Future State Capabilities
    ✔ Assess the Current State Technology Architecture and Determine the Future State Architecture
    ✔ Begin Building an Analytics Road Map
    ✔ Train Staff
    ✔ Map Current Processes, Interactions, and Workflows
    ✔ Build Templates and Artifacts to Support the Analytics Process
    ✔ Create a Supply CONTENTS xi -and-Demand Management Model
    ✔ Create an Operating Model for Working with Stakeholders
    ✔ Use, Deploy, or Upgrade Existing or New Technology
    ✔ Collect or Acquire New Data
    ✔ Implement a Data Catalog, Master Data Management, and Data Governance
    ✔ Meet with Stakeholders and Participate in Business Processes, and Then Socialize Analysis on a Regular Cadence and Periodicity
    ✔ Do Analysis and Data Science and Deliver It
    ✔ Lead or Assist with New Work Resulting from Analytical Processes
    ✔ Document and Socialize the Financial Impact and Business Outcomes Resulting from Analysis
    ✔ Continue to Do Analysis, Socialize It, and Manage Technology While Emphasizing the BusinessImpact Ad Infinitum
    ✔ Manage Change and Support Stakeholders
• The Future of Ecommerce Analytics
    ✔ The Future of Data Collection and Preparation
    ✔ The Future Is Data Experiences
    ✔ Future Analytics and Technology Capabilities

Table of content

• Marketing Management
✔ Definition and Overview
• Current Marketing Environment in India
✔ Economic Factors
✔ Socio-cultural Factors
✔ Technological Factors
✔ Political and Legal Factors
✔ Competitive Landscape
• Product Positioning
✔ Definition and Importance
✔ Strategies for Effective Positioning
✔ Case Studies
• Promotion Mix
✔ Advertising
✔ Public Relations
✔ Sales Promotion
✔ Personal Selling
✔ Digital Marketing
✔ Integrated Marketing Communication (IMC)
• Pricing
✔ Pricing Strategies
✔ Factors Influencing Pricing Decisions
✔ Pricing Models
✔ Price Elasticity of Demand
• Sales Forecasting
✔ Methods of Sales Forecasting
✔ Importance in Marketing Planning
✔ Challenges in Sales Forecasting
• Strategic Marketing Process
✔ Market Analysis
✔ Strategic Planning
✔ Implementation
✔ Control and Evaluation
• Dealing with Competition
✔ Competitive Analysis
✔ Competitive Advantage
✔ Strategies for Managing Competition
• Servicing Marketing
✔ Importance of Customer Service
✔ Customer Relationship Management (CRM)
✔ Marketing Management Cook Book Service Quality
• Rural Marketing
✔ Characteristics of Rural Markets
✔ Challenges and Opportunities
✔ Strategies for Successful Rural Marketing

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