Domain 3: Managing Information for Marketing Insights Flashcards

1
Q

A system that analyzes and assesses marketing information, gathered continuously from sources inside and outside an organization. Timely marketing information provides basis for decisions such as product development or improvement, pricing, packaging, distribution, media selection, and promotion. See also market information system.

A

Market information systems (MIS)

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2
Q

The everyday information relevant to a company’s markets, gathered and analyzed specifically for the purpose of accurate and confident decision-making in determining market opportunity, market penetration strategy, and market development metrics.

A

Marketing intelligence

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3
Q

The study of a population based on factors such as age, race, sex and other factors.

A

Demographics

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4
Q

The social science that studies the implications of individual human action, specifically about how those decisions affect the utilization and distribution of scarce resources.

A

Microeconomics

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5
Q

A branch of the economics that studies how the aggregate economy behaves. In macroeconomics, a variety of economy-wide phenomena is thoroughly examined such as inflation, price levels, rate of growth, national income, gross domestic product (GDP) and changes in unemployment.

A

Macroeconomics

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6
Q

Any organized effort to gather information about target markets or customers. It is a very important component of business strategy.

A

Market research

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7
Q

A tangible or intangible good or service produced as a result of a project that is intended to be delivered to a customer (either internal or external).

A

Management research deliverable

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8
Q

A statement about an area of concern, a condition to be improved, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or in practice that points to the need for meaningful understanding and deliberate investigation. In some social science disciplines the research problem is typically posed in the form of a question.

A

Research problem

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9
Q

Intends merely to explore the research questions and does not intend to offer final and conclusive solutions to existing problems. This type of research is usually conducted to study a problem that has not been clearly defined yet.

A

Exploratory research

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10
Q

Research used to “describe” a situation, subject, behavior, or phenomenon. It is used to answer questions of who, what, when, where, and how associated with a particular research question or problem.

A

Descriptive research

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11
Q

Also called explanatory research, is the investigation of (research into) cause-and-effect relationships. To determine causality, it is important to observe variation in the variable assumed to cause the change in the other variable(s), and then measure the changes in the other variable(s).

A

Causal research

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12
Q

Data observed or collected directly from first-hand experience.

A

Primary data

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13
Q

Published data and the data collected in the past or other parties is called secondary data.

A

Secondary data

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14
Q

A scientific method of observation to gather non-numerical data. This type of research “refers to the meanings, concepts definitions, characteristics, metaphors, symbols, and description of things” and not to their “counts or measures.”

A

Qualitative research

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15
Q

The systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques. The objective of this research is to develop and employ mathematical models, theories and hypotheses pertaining to phenomena.

A

Quantitative research

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16
Q

A small, but demographically diverse group of people and whose reactions are studied especially in market research or political analysis in guided or open discussions about a new product or something else to determine the reactions that can be expected from a larger population.

A

Focus group

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17
Q

Interviews in which participants are encouraged and prompted to talk in depth about the topic under investigation.

A

In-depth interview

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18
Q

A research method used for collecting data from people to gain information on various topics. The data is usually obtained through the use of standardized procedures whose purpose is to ensure that each respondent is able to answer the questions at a level playing field to avoid biased opinions that could influence the outcome of the research or study.

A

Surveys

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19
Q

Information employed in marketing for designing promotional campaigns based on consumers’ buying habits, brand preferences, and product usage.

A

Behavioral data

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20
Q

Involves using various types of machines to collect the data, which is then interpreted by researchers.

A

Mechanical observation

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21
Q

Designed to encourage a full, meaningful answer using the subject’s own knowledge and/or feelings.

A

Open-ended questions

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22
Q

Those which can be answered by a simple “yes” or “no.”

A

Closed-ended questions

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23
Q

An official count or survey of a population, typically recording various details of individuals.

A

Census

24
Q

A smaller, manageable version of a larger group. It is a subset containing the characteristics of a larger population.

A

Sample

25
Q

Any method of sampling that utilizes some form of random selection. In order to have a random selection method, you must set up some process or procedure that assures that the different units in your population have equal probabilities of being chosen.

A

Probability sampling

26
Q

Sampling that does not involve random selection.

A

Nonprobability sampling

27
Q

A database accessible from a local network or the Internet, as opposed to one that is stored locally on an individual computer or its attached storage (such as a CD).

A

Online database

28
Q

Refers to the principles, practices and guidelines that an organization follows when interacting with its customers. From the organization’s point of view, this entire relationship encompasses direct interactions with customers, such as sales and service-related processes, and forecasting and analysis of customer trends and behaviors. Ultimately, this serves to enhance the customer’s overall experience.

A

Customer relationship management (CRM)

29
Q

A term frequently used in marketing. It is a measure of how products and services supplied by a company meet or surpass customer expectation.

A

Customer satisfaction

30
Q

The measure of success of the supplier in retaining a long term relationship with the customer.

A

Customer loyalty

31
Q

A prediction of the net profit attributed to the entire future relationship with a customer.

A

Customer lifetime value (CLV)

32
Q

Answers the question, how much value can I create per customer?

A

Return on customer investment (ROCI)

33
Q

There is one type of customer one should consider firing, and it has everything to do with customer service. This customer affects the morale and motivation of the employees to deliver a great customer service experience. There are certain customers that may abuse your system and even your employees, which may call for the drastic measure of letting these customers know you no longer wish to do business with them.

A

Firing a customer

34
Q

Your brand’s points of customer contact, from start to finish. For example, customers may find your business online or in an ad, see ratings and reviews, visit your website, shop at your retail store, or contact your customer service.

A

Customer touchpoints

35
Q

A large store of data accumulated from a wide range of sources within a company and used to guide management decisions.

A

Data warehouse

36
Q

The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

A

Data mining

37
Q

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.

A

Database marketing

38
Q

The process of creating, retaining, and transferring knowledge within an organization. An organization improves over time as it gains experience. From this experience, it is able to create knowledge. This knowledge is broad, covering any topic that could better an organization.

A

Organizational learning

39
Q

The extent to which work roles are structured in an organization, and the activities of the employees are governed by rules and procedures.

A

Formalization

40
Q

Includes everything that resides in the minds of the customer with respect to a firm.

A

Customer mindset

41
Q

Data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. Challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

A

Big data

42
Q

Information with a high degree of organization, such that inclusion in a relational database is seamless and readily searchable by simple, straightforward search engine algorithms or other search operations.

A

Structured data

43
Q

Information with a low degree of organization, such that inclusion in a relational database is not seamless and is not readily searchable by simple, straightforward search engine algorithms or other search operations.

A

Unstructured data

44
Q

A form of structured data that does not conform with the formal structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data.

A

Semi-structured data

45
Q

The practice of measuring, managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment (ROI).

A

Marketing analytics

46
Q

A marketer who focuses on reducing the risks related to a marketing initiative or project. In this regard, these practitioners track campaigns and segment the customer base, as well as identify market trends and monitor competitors. Likewise, they consider aspects such as response rates, return on investment (ROI), and consumer dropout rates.

A

Marketing analyst

47
Q

A preliminary stage of data processing that creates a summary of historical data to yield useful information and possibly prepare the data for further analysis. Descriptive analytics is sometimes said to provide information about happened.

A

Descriptive analytics

48
Q

A form of advanced analytics which examines data or content to answer the question “Why did it happen?”, and is characterized by techniques such as drill-down, data discovery, data mining and correlations.

A

Diagnostic analytics

49
Q

The branch of the advanced analytics which is used to make predictions about unknown future events. This branch uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future.

A

Predictive analytics

50
Q

The area of business analytics (BA) dedicated to finding the best course of action for a given situation.

A

Prescriptive analytics

51
Q

Refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. This type of analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine. AKA opinion mining and emotion AI. Generally speaking, this analysis aims to determine the attitude of a speaker, writer, or other subject with respect to some topic or the overall contextual polarity or emotional reaction to a document, interaction, or event.

A

Sentiment analysis

52
Q

The identification of a set of user actions (“events” or “touchpoints”) that contribute in some manner to a desired outcome, and then the assignment of a value to each of these events.

A

Attribution

53
Q

On the Internet, content filtering (also known as information filtering) is the use of a program to screen and exclude from access or availability Web pages or e-mail that is deemed objectionable.

A

Content filtering

54
Q

In the newer, narrower sense, this is a method of making automatic predictions (filtering) about the interests of a user by collecting preferences or taste information from many users. In the more general sense, this is the process of filtering for information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc.

A

Collaborative filtering

55
Q

A reporting tool that displays marketing analytics, KPIs, and metrics using data visualizations. These are designed to provide teams with instant and continuous visibility into marketing performance.

A

Marketing dashboard

56
Q

The contribution to profit attributable to marketing (net of marketing spending), divided by the marketing ‘invested’ or risked. The purpose of this is to measure the degree to which spending on marketing contributes to profits.

A

Return on marketing investment (ROMI)