What is customer analytics?

Customer analytics is a method used by managers and business owners for making business decisions based upon past customer behavior. It uses tools like regression analysis, predictive analytics, and market segmentation to turn data into usable information that can be leveraged for the creation of direct marketing campaigns and other aspects of managing customer relationships. Behaviors customers have exhibited in the past are examined and used as a basis for predicting future behaviors. The information is then used to create campaigns that have an influence on future buying behaviors. This type of analysis serves as a solid basis for making business decisions.

Why is it important to learn about customer analytics?

If you're considering a career in management, product development, or marketing, customer analytics is a valuable study area because it serves as the basis of good decision-making in the business world. Effectively applying real-world data about customer behavior using tools, such as predictive analytics, increases the likelihood of successful marketing campaigns. It also helps developers create products that deliver greater customer satisfaction. Additionally, when you have the tools and data on hand that tell you how customers responded to different circumstances in the past, you're able to explain and support the business decisions you make.

How can online courses on Coursera help me learn customer analytics?

Taking online courses on Coursera in customer analytics provides you with the knowledge you need to acquire in a convenient setting supported by experienced instructors. The learning starts with courses that cover the basic, introductory information that forms the foundation of learning customer analysis. The courses then offer the information that guides you all the way through the process of learning specific customer analysis techniques that provide you with information about marketing performance measurement and management. When you understand this customer-centric aspect of business analytics, you're able to apply it to the decisions you make regarding new marketing campaigns and any other business decisions you make that affect your company's customers.

What skills or experience do I need to already have before starting to learn customer analytics?

When starting to learn about customer analytics, you need to have strong reading and math skills. The earliest courses allow you to build a foundation of knowledge when beginning to study this area of business analytics. The specifics—such as how to use the data to create a decision tree you can use when making decisions for your job—develop as you work your way through the customer analytics and business analytics courses. Check the listing for information about the course level when choosing a customer analytics course. The courses are marked for beginners, intermediate level students, and advanced level students, which makes it easy for you to choose one that matches your knowledge base in this type of analytical field.

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227 resultados referentes a "customer analytics"

University of Pennsylvania
Business Analytics
Habilidades que você terá: Accounting, Analysis, Big Data, Business Analysis, Business Psychology, Collaboration, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Customer Analysis, Data Analysis, Data Analysis Software, Data Management, Data Structures, Decision Making, Entrepreneurship, Financial Accounting, Financial Analysis, Forecasting, General Statistics, Human Resources, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Network Analysis, People Analysis, People Development, Performance Management, Predictive Analytics, Probability & Statistics, Regression, Sales, Spreadsheet Software, Statistical Analysis, Strategy, Strategy and Operations, Talent Management, Theoretical Computer Science
4.6
(16.5k avaliações)
Beginner · Specialization
University of Virginia
Marketing Analytics
Habilidades que você terá: Entrepreneurship, Strategy and Operations, Probability & Statistics, Sales, Brand Management, Marketing, Market (Economics), Regression, Regression Analysis, Communication, General Statistics, Marketing Strategy, Analysis, Leadership and Management, Strategy, Stock, Experiment, Market Analysis, Architecture
4.7
(6.1k avaliações)
Beginner · Course
Gratuito
Google
Foundations of User Experience (UX) Design
Habilidades que você terá: Financial Analysis, Leadership and Management, User Experience Design, Data Analysis, Research and Design, User Experience, Communication, Personal Branding, Human Computer Interaction, Brand Management, Entrepreneurship, Accounting, Personal Advertisement, Web Design, Web Development, Finance, Brand, Design Sprint, Experience, Investment Management, Marketing, Design Thinking, Social Media, Business Analysis, Problem Solving, Business Psychology, User-Centered Design
4.8
(30.2k avaliações)
Beginner · Course
Northwestern University
Organizational Leadership
Habilidades que você terá: Collaboration, Communication, Conflict Management, Crisis, Data Analysis, Decision Making, Emotional Intelligence, Entrepreneurship, Finance, Human Resources, Influencing, Leadership, Leadership Development, Leadership and Management, Marketing, Negotiation, Project Management, Research and Design, Risk Management, Sales, Storytelling, Strategy, Strategy and Operations, Team Management
4.7
(4.1k avaliações)
Intermediate · Specialization

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Em resumo, aqui estão 10 dos nossos cursos mais populares customer analytics

Customer Analytics: University of Pennsylvania
Foundations of Marketing Analytics: Emory University
Real-World Product Management: Advancing Women in Tech
Business Analytics: University of Pennsylvania
Marketing Analytics: University of Virginia
Marketing analytics: Know your customers: Macquarie University
Customer Insights: New Product Development Orientation: University of Illinois at Urbana-Champaign
Foundations of User Experience (UX) Design: Google
Finance, Analysis & Modeling MasterTrack® Certificate: Macquarie University
Digital Marketing MasterTrack™ Certificate: University of Illinois at Urbana-Champaign

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Plano (11)

Propaganda (9)

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Perguntas frequentes sobre Customer Analytics

Customer analytics is a method used by managers and business owners for making business decisions based upon past customer behavior. It uses tools like regression analysis, predictive analytics, and market segmentation to turn data into usable information that can be leveraged for the creation of direct marketing campaigns and other aspects of managing customer relationships. Behaviors customers have exhibited in the past are examined and used as a basis for predicting future behaviors. The information is then used to create campaigns that have an influence on future buying behaviors. This type of analysis serves as a solid basis for making business decisions.‎
If you're considering a career in management, product development, or marketing, customer analytics is a valuable study area because it serves as the basis of good decision-making in the business world. Effectively applying real-world data about customer behavior using tools, such as predictive analytics, increases the likelihood of successful marketing campaigns. It also helps developers create products that deliver greater customer satisfaction. Additionally, when you have the tools and data on hand that tell you how customers responded to different circumstances in the past, you're able to explain and support the business decisions you make.‎
Taking online courses on Coursera in customer analytics provides you with the knowledge you need to acquire in a convenient setting supported by experienced instructors. The learning starts with courses that cover the basic, introductory information that forms the foundation of learning customer analysis. The courses then offer the information that guides you all the way through the process of learning specific customer analysis techniques that provide you with information about marketing performance measurement and management. When you understand this customer-centric aspect of business analytics, you're able to apply it to the decisions you make regarding new marketing campaigns and any other business decisions you make that affect your company's customers.‎
When starting to learn about customer analytics, you need to have strong reading and math skills. The earliest courses allow you to build a foundation of knowledge when beginning to study this area of business analytics. The specifics—such as how to use the data to create a decision tree you can use when making decisions for your job—develop as you work your way through the customer analytics and business analytics courses. Check the listing for information about the course level when choosing a customer analytics course. The courses are marked for beginners, intermediate level students, and advanced level students, which makes it easy for you to choose one that matches your knowledge base in this type of analytical field.‎

Este conteúdo de Perguntas frequentes foi disponibilizado apenas para fins informativos. Os aprendizes são aconselhados a realizar pesquisas adicionais para garantir que os cursos e outras credenciais buscadas atendam a seus objetivos pessoais, profissionais e financeiros.