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Customer Research
Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. Marketing provides services to satisfy customers. With that in mind, the productive system is considered from its beginning at the production level, to the end of the cycle at the consumer. Customer analytics plays an important role in the prediction of customer behavior. Uses ;Retail:Although until recently over 90% of retailers had limited visibility on their customers, with increasing investments in loyalty programs, customer tracking solutions and market research, this industry started increasing use of customer analytics in decisions ranging from product, promotion, price and distribution management. The most obvious use of customer analytics in retail today is the development of personalized communicatio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data
Data ( , ) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data are usually organized into structures such as tables that provide additional context and meaning, and may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data are commonly used in scientific research, economics, and virtually every other form of human organizational activity. Examples of data sets include price indices (such as the consumer price index), unemployment rates, literacy rates, and census data. In this context, data represent the raw facts and figures from which useful information can be extracted. Data are collected using technique ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Magazine Subscription
The subscription business model is a business model in which a customer must pay a recurring price at regular intervals for access to a Product (business), product or Service (business), service. The model Publication by subscription, was pioneered by publishers of books and periodicals in the 17th century. It is particularly common now for digital products, which lend themselves more naturally toward a subscription model. Subscriptions can be a more convenient, hassle-free transaction for consumers. However, due to inertia among some consumers, they may inadvertently pay for subscriptions that they no longer value because they do not realize that they are subscribed. Subscriptions Rather than selling products individually, a subscription offers periodic (daily, weekly, bi-weekly, monthly, semi-annual, yearly/annual, or seasonal) use or access to a product or Service (economics), service, or, in the case of performance-oriented organizations such as List of opera companies, opera ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Psychographics
Psychographics is defined as "market research or statistics classifying population groups according to psychological variables" The term psychographics is derived from the words "psychological" and "demographics" Two common approaches to psychographics include analysis of consumers' activities, interests, and opinions (AIO variables), and values and lifestyles (VALS). Psychographics have been applied to the study of personality, values, opinions, attitudes, interests, and lifestyles. Psychographic segmentation is a technique for grouping populations into sub-groups according to similar psychological variables. Psychographic studies of individuals or communities can be valuable in the fields of marketing, demographics, opinion research, prediction, and social research in general. Psychographic attributes can be contrasted with demographic variables (such as age and gender), behavioral variables (such as purchase data or usage rate), and organizational descriptors (sometimes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Warehouse
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for Business intelligence, reporting and data analysis and is a core component of business intelligence. Data warehouses are central Repository (version control), repositories of data integrated from disparate sources. They store current and historical data organized in a way that is optimized for data analysis, generation of reports, and developing insights across the integrated data. They are intended to be used by analysts and managers to help make organizational decisions. The data stored in the warehouse is uploaded from operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the data warehouse for reporting. The two main workflows for building a data warehouse system are extract, transform, load (ETL) and extract, load, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Customer Intelligence
Customer intelligence (CI) as part of business intelligence is the process of gathering information regarding customers, and their details and activities, to build deeper and more effective customer relationship management, customer relationships and improve decision-making by vendors. Customer relationship management Customer intelligence is a key component of effective customer relationship management (CRM), and when effectively implemented it is a rich source of insight into the behaviour and experience of a company's customer base. As an example, some customers walk into a store and walk out without buying anything. Information about these customers/prospects (or their visits) may not exist in a traditional CRM system, as no sales are entered on the store cash register. Although no commercial transaction took place, knowing ''why'' customers leave the store (perhaps by asking them, or a store employee, to complete a survey) and using this data to make inferences about custo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Analytics
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set metrics to both measure past performance and guide business planning. In other words, business intelligence focuses on description, while business analytics focusses on prediction and prescription. Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Business intelligence is querying, reporting, online ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Buyer Decision Processes
As part of consumer behavior, the buying decision process is the decision-making process used by consumers regarding the market transactions before, during, and after the purchase of a Good (economics), good or Service (economics), service. It can be seen as a particular form of a cost–benefit analysis in the presence of multiple alternatives. To put it simply, In consumer behavior, the buyer decision process refers to the series of steps consumers follow when making choices about purchasing goods or services, including activities before, during, and after the transaction. Common examples include shopping and deciding what to eat. Decision-making is a psychological construct. This means that although a decision cannot be "seen", we can infer from observable behavior that a decision has been made. Therefore, we conclude that a psychological "decision-making" event has occurred. It is a construction that imputes a commitment to action. That is, based on observable actions, we ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Clustering
Cluster analysis or clustering is the data analyzing technique in which task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Cluster analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved by various algorithms that differ significantly in their understanding of what constitutes a cluster and how to efficiently find them. Popular notions of clusters include groups with small distances between cluster members, dense areas of the data space, intervals or particular statistical distributions. Clustering ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Predictive Model
Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. In many cases, the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input data, for example given an email determining how likely that it is spam. Models can use one or more classifiers in trying to determine the probability of a set of data belonging to another set. For example, a model might be used to determine whether an email is spam or "ham" (non-spam). Depending on definitional boundaries, predictive modelling is synonymous with, or largely overlapping with, the field of machine learning, as it is more commonly referred to in academic or research and development contexts. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Mining
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the " knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term "data mining" is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (''mining'') of data itself. It also is a buzzwo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Drive Time
Drive time is the daypart in which radio broadcasters can reach the most people who listen to car radios while driving, usually to and from work, or on public transportation. Drive-time periods are when the number of radio listeners in this class is at its peak and, thus, commercial radio can generate the most revenue from advertising. Drive time usually coincides with rush hour. Content Mainstream stations employ high-status presenters for drive time shows. In the United States, popular national hosts who are associated with morning drive include Howard Stern, Ryan Seacrest and Steve Inskeep, while Sean Hannity is associated with afternoon drive on the East Coast. Drive time often includes a heavier run of traffic reports, for which many stations employ their own helicopters or hire a third-party traffic reporting service. For popular music-oriented stations, morning drive-time is typically dominated by the " morning zoo" genre of radio program, with the afternoon port ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Consumer Profile
Customer relationship management (CRM) is a strategic process that organizations use to manage, analyze, and improve their interactions with customers. By leveraging data-driven insights, CRM helps businesses optimize communication, enhance customer satisfaction, and drive sustainable growth. CRM systems compile data from a range of different communication channels, including a company's website, telephone (which many services come with a softphone), email, live chat, marketing materials and more recently, social media. They allow businesses to learn more about their target audiences and how to better cater to their needs, thus retaining customers and driving sales growth. CRM may be used with past, present or potential customers. The concepts, procedures, and rules that a corporation follows when communicating with its consumers are referred to as CRM. This complete connection covers direct contact with customers, such as sales and service-related operations, forecasting, and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
