Data Analytics - Module 5: Segmentation Methods and Techniques

What is a segment in the context of analytics data?

• A large dataset containing all user data

• A subset of analytics data from specific user groups

• A method for predicting future trends

• A technique for clustering all users together

Which of the following best describes descriptive analysis?

• It predicts future trends using past data

• It involves data mining and data aggregation to analyze past events

• It uses advanced techniques to forecast future events

• It is a proactive approach to data analysis

What type of analysis is described as proactive?

• Descriptive analysis

• Data mining

• Predictive analysis

• Data aggregation

Which of the following is a characteristic used to create customer segments?

• Revenue trends

• Customer satisfaction scores

• Demographic characteristics

• Website traffic

What is the main input for cluster analysis?

• Raw data on competitors

• Predictive models

• Measures of similarity between customers

• Financial reports

Which of the following is NOT a benefit of creating customer segments?

• Customizing marketing messages

• Improving product development

• Targeting specific organizations

• Ensuring every customer receives the same offer

What type of analysis involves statistics and forecast techniques?

• Descriptive analysis

• Predictive analysis

• Cluster analysis

• Data mining

Cluster analysis sorts customers into groups based on:

• Random selection

• Raw data similarities

• Future purchasing potential

• Marketing response rates

Which of the following is an example of predictive analysis?

• Sales report

• Revenue of a company

• Sentimental analysis

• Performance analysis

When detailed information about every customer is unavailable, what can firms use for segmentation?

• Random samples of the population

• Financial statements

• Surveys of a representative sample of customers

• General market trends