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Customer Insight
A customer insight, or consumer insight, is an interpretation of trends in human behaviors which aims to increase the effectiveness of a product or service for the consumer, as well as increase sales for the financial benefit of those provisioning the product or service. There is an overlap between market research and customer insights. While market researchers can produce consumer insights, not all insights require market research techniques. The insights can be acquired using competitive intelligence, big data, machine learning, social media listening, geomarketing, and text analytics, as well as market research, predictive analytics and database marketing. Specifically, consumer insights is a field that focuses on analyzing market research and acting as a bridge between Research and Marketing departments within a company. Commonly referred to as CI, it is the intersection between the interests of the consumer and the features of a brand A brand is a name, term, desig ...
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Market Research
Market research is an organized effort to gather information about target markets and customers: know about them, starting with who they are. It is an important component of business strategy and a major factor in maintaining competitiveness. Market research helps to identify and analyze the needs of the market, the market size and the competition. Its techniques encompass both qualitative techniques such as focus groups, in-depth interviews, and ethnography, as well as quantitative techniques such as customer surveys, and analysis of secondary data. It includes social and opinion research, and is the systematic gathering and interpretation of information about individuals or organizations using statistical and analytical methods and techniques of the applied social sciences to gain insight or support decision making. Market research, marketing research, and marketing are a sequence of business activities; sometimes these are handled informally. The field of ''marketing researc ...
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Competitive Intelligence
Competitive intelligence (CI) is the process and forward-looking practices used in producing knowledge about the competitive environment to improve organizational performance. It involves the systematic collection and analysis of information from multiple sources, and a coordinated CI program. It is the action of defining, gathering, analyzing, and distributing intelligence about products, customers, competitors, and any aspect of the environment needed to support executives and managers in strategic decision making for an organization. CI means understanding and learning what is happening in the world outside the business to increase one's competitiveness. It means learning as much as possible, as soon as possible, about one's external environment including one's industry in general and relevant competitors. Key points # Competitive intelligence is a legal business practice, as opposed to industrial espionage, which is illegal. # The focus is on the external business environment ...
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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. ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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Geomarketing
In marketing, geomarketing (also called marketing geography) is a discipline that uses geolocation (geographic information) in the process of planning and implementation of marketing activities."Recommending Social Events from Mobile Phone Location Data"
Daniele Quercia, et al., ICDM 2010
It can be used in any aspect of the — the product, price, promotion, or place ().

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Text Analytics
Text mining, also referred to as ''text data mining'', similar to text analytics, is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a KDD (Knowledge Discovery in Databases) process. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and inte ...
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Predictive Analytics
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions. The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detecti ...
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Database Marketing
Database marketing is a form of direct marketing using databases of customers or potential customers to generate personalized communications in order to promote a product or service for marketing purposes. The method of communication can be any addressable medium, as in direct marketing. The distinction between direct and database marketing stems primarily from the attention paid to the analysis of data. Database marketing emphasizes the use of statistical techniques to develop models of customer behavior, which are then used to select customers for communications. As a consequence, database marketers also tend to be heavy users of data warehouses, because having a greater amount of data about customers increases the likelihood that a more accurate model can be built. There are two main types of marketing databases, 1) Consumer databases, and 2) business databases. Consumer databases are primarily geared towards companies that sell to consumers, often abbreviated as usiness-to-con ...
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Consumer
A consumer is a person or a group who intends to order, or uses purchased goods, products, or services primarily for personal, social, family, household and similar needs, who is not directly related to entrepreneurial or business activities. The term most commonly refers to a person who purchases goods and services for personal use. Consumer rights “Consumers, by definition, include us all," said President John F. Kennedy, offering his definition to the United States Congress on March 15, 1962. This speech became the basis for the creation of World Consumer Rights Day, now celebrated on March 15. In his speech : John Fitzgerald Kennedy outlined the integral responsibility to consumers from their respective governments to help exercise consumers' rights, including: *The right to safety: To be protected against the marketing of goods that are hazardous to health or life. *The right to be informed: To be protected against fraudulent, deceitful, or grossly misleading informatio ...
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Brand
A brand is a name, term, design, symbol or any other feature that distinguishes one seller's good or service from those of other sellers. Brands are used in business, marketing, and advertising for recognition and, importantly, to create and store value as brand equity for the object identified, to the benefit of the brand's customers, its owners and shareholders. Brand names are sometimes distinguished from Generic brand, generic or store brands. The practice of branding - in the original literal sense of marking by burning - is thought to have begun with the ancient Egyptians, who are known to have engaged in livestock branding as early as 2,700 BCE. Branding was used to differentiate one person's cattle from another's by means of a distinctive symbol burned into the animal's skin with a hot branding iron. If a person stole any of the cattle, anyone else who saw the symbol could deduce the actual owner. The term has been extended to mean a strategic personality for a produ ...
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