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Data Driven Marketing
Data driven marketing is a process used by marketers to gain insights and identify trends about consumers and how they behave — what they buy, the effectiveness of ads, and how they browse. Modern solutions rely on big data strategies and collect information about consumer interactions and engagements to generate predictions about future behaviors. This kind of analysis involves understanding data already present, data that can be acquired, and how to organize, analyze, and apply that data to better marketing efforts. The intended goal is generally to enhance and personalize the customer experience. The market research allows for a comprehensive study of preferences. History of data driven marketing Some marketing decisions have always been made on the basis of data, defined in the general sense as information. Audience targeting and segmentation strategies provide many examples. Since 1950, the Nielsen ratings have provided information to media buyers about television prog ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Big Data
Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe Big data is the one associated with large body of information that we could not comprehend when used only in smaller amounts. In it primary definition though, Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Personalized Marketing
Personalized marketing, also known as one-to-one marketing or individual marketing, is a marketing strategy by which companies leverage data analysis and digital technology to deliver individualized messages and product offerings to current or prospective customers. Advancements in data collection methods, analytics, digital electronics, and digital economics, have enabled marketers to deploy more effective real-time and prolonged customer experience personalization tactics. Beginning in the early 1990s, web developers began tracking HTML calls that their websites were receiving from online visitors. In 2012, the Web Analytics Association (WAA) officially changed its name to the Digital Analytics Association (DAA) in order to accommodate new and developing data streams that exist in addition to the web. Technology Personalized marketing is dependent on many different types of technology for data collection, data classification, data analysis, data transfer, and data scalabil ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Online Shopping
Online shopping is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the Internet using a web browser or a mobile app. Consumers find a product of interest by visiting the website of the retailer directly or by searching among alternative vendors using a shopping search engine, which displays the same product's availability and pricing at different e-retailers. As of 2020, customers can shop online using a range of different computers and devices, including desktop computers, laptops, tablet computers and smartphones. An online shop evokes the physical analogy of buying products or services at a regular "bricks-and-mortar" retailer or shopping center; the process is called business-to-consumer (B2C) online shopping. When an online store is set up to enable businesses to buy from another businesses, the process is called business-to-business (B2B) online shopping. A typical online store enables the customer to browse the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Harvard Business Review
''Harvard Business Review'' (''HBR'') is a general management magazine published by Harvard Business Publishing, a wholly owned subsidiary of Harvard University. ''HBR'' is published six times a year and is headquartered in Brighton, Massachusetts. ''HBR'' covers a wide range of topics that are relevant to various industries, management functions, and geographic locations. These include leadership, negotiation, strategy, operations, marketing, and finance. ''Harvard Business Review'' has published articles by Clayton Christensen, Peter F. Drucker, Michael E. Porter, Rosabeth Moss Kanter, John Hagel III, Thomas H. Davenport, Gary Hamel, C. K. Prahalad, Vijay Govindarajan, Robert S. Kaplan, Rita Gunther McGrath and others. Several management concepts and business terms were first given prominence in ''HBR''. ''Harvard Business Review''s worldwide English-language circulation is 250,000. HBR licenses its content for publication in thirteen languages besides English. Ba ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Forecasting
Forecasting is the process of making predictions based on past and present data. Later these can be compared (resolved) against what happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and resolution itself. Usage can vary between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period. Risk and uncertainty are central to forecasting and prediction; it is generally considered a good practice to indicate the degree of uncertainty ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Anomaly Detection
In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behaviour. Such examples may arouse suspicions of being generated by a different mechanism, or appear inconsistent with the remainder of that set of data. Anomaly detection finds application in many domains including cyber security, medicine, machine vision, statistics, neuroscience, law enforcement and financial fraud to name only a few. Anomalies were initially searched for clear rejection or omission from the data to aid statistical analysis, for example to compute the mean or standard deviation. They were also removed to better predictions from models such as linear regression, and more recently their removal aids the performance of machine learning algorithms. However, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cluster Analysis
Cluster analysis or clustering is the 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 sense) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistics, statistical data analysis, used in many fields, including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Cluster analysis itself is not one specific algorithm, but the general task to be solved. 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 Distance function, distances between cluster members, dense areas of the data space, intervals or particular statistical distributions. Clustering can therefore be formulated as a multi-object ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Customer Lifetime Value
In marketing, customer lifetime value (CLV or often CLTV), lifetime customer value (LCV), or life-time value (LTV) is a prognostication of the net profit contributed to the whole future relationship with a customer. The prediction model can have varying levels of sophistication and accuracy, ranging from a crude heuristic to the use of complex predictive analytics techniques. Customer lifetime value can also be defined as the monetary value of a customer relationship, based on the present value of the projected future cash flows from the customer relationship. Customer lifetime value is an important concept in that it encourages firms to shift their focus from quarterly profits to the long-term health of their customer relationships. Customer lifetime value is an important metric because it represents an upper limit on spending to acquire new customers.Farris, Paul W.; Neil T. Bendle; Phillip E. Pfeifer; David J. Reibstein (2010). ''Marketing Metrics: The Definitive Guide to M ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Shopping Cart Software
Shopping cart software is a piece of e-commerce software on a web server that allows visitors to have an Internet site to select items for eventual purchase.Farris, Paul W.; Neil T. Bendle; Phillip E. Pfeifer; David J. Reibstein (2010). ''Marketing Metrics: The Definitive Guide to Measuring Marketing Performance.'' Upper Saddle River, New Jersey: Pearson Education, Inc. . The Marketing Accountability Standards Board (MASB) endorses the definitions, purposes, and constructs of classes of measures that appear in ''Marketing Metrics'' as part of its ongoinCommon Language in Marketing Project The software allows online shopping customers to accumulate a list of items for purchase. At the point of sale, the software typically calculates a total for the order, including freight transport, postage as well as packaging and labeling. Associated taxes are calculated as applicable. This software also allows for a final review of the shortlisted purchase and the choice for a user to modif ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Engagement Rate
Social engagement (also social involvement, social participation) refers to one's degree of participation in a community or society. Definitions Prohaska, Anderson and Binstock (2012) noted that the term social engagement is commonly used to refer to one's participation in the activities of a social group. The term has been defined by Avison, McLeod and Pescosolido (2007) as "the extent to which an individual participates in a broad range of social roles and relationships." and by Zhang, Jiang, and Carroll as "the commitment of a member to stay in the group and interact with other members". Prohaska, Anderson and Binstock (2012) noted that the term has not always been used consistently in literature, and can be sometimes confused with several other similar (but distinct) concepts from social sciences. Social engagement is different from the concept of a social network, as social network focuses on a group, rather than the activity. They similarly note the difference between soc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Email Marketing
Email marketing is the act of sending a commercial message, typically to a group of people, using email. In its broadest sense, every email sent to a potential or current customer could be considered email marketing. It involves using email to send advertisements, request business, or solicit sales or donations. Email marketing strategies commonly seek to achieve one or more of three primary objectives, to build loyalty, trust, or brand awareness. The term usually refers to sending email messages with the purpose of enhancing a merchant's relationship with current or previous customers, encouraging customer loyalty and repeat business, acquiring new customers or convincing current customers to purchase something immediately, and sharing third-party ads. History Email marketing has evolved rapidly alongside the technological growth of the 21st century. Before this growth, when emails were novelties to most customers, email marketing was not as effective. In 1978, Gary Thuerk of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Click-through Rate
Click-through rate (CTR) is the ratio of users who click on a specific link to the number of total users who view a page, email, or advertisement. It is commonly used to measure the success of an online advertising campaign for a particular website, as well as the effectiveness of email campaigns. American Marketing Association Dictionary. . Retrieved 2012-11-02. The Marketing Accountability Standards Board (MASB) endorses this definition as part of its ongoinCommon Language in Marketing Project Click-through rates for ad campaigns vary tremendously. The first online display ad, shown for AT&T on the website HotWired in 1994, had a 44% click-through rate. With time, the overall rate of user's clicks on webpage banner ads has decreased. Purpose The purpose of click-through rates is to measure the ratio of clicks to impressions of an online ad or email marketing campaign. Generally, the higher the CTR, the more effective the marketing campaign has been at bringing people ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
